Amazon Bedrockでサポートされている基盤モデルをリージョンごとにAWS CLIで一覧取得する
コンバンハ、千葉(幸)です。
Amazon Bedrockではさまざまな基盤モデルを利用できます。Amazon Bedrockでサポートされている基盤モデルは以下ドキュメントで一覧を確認できます。
とはいえ、ここでは各モデルが複数のページに分かれており、「一覧で全体像を見たい」という時に少し困ります。

1行の高さが高かったり、複数のページを遷移しないといけなかったり。
もう少し見やすい形で取得するために、AWS CLIを使用してAmazon Bedrockでサポートされているモデルを一覧取得する内容をまとめたのでご紹介します。
使用するAWS CLIコマンド
上記のコマンドを実行可能なIAM権限を有していることが前提です。
動作確認環境
- macOS
aws-cli/2.32.6 Python/3.13.9 Darwin/24.5.0 exe/arm64
- AWS CloudShell
aws-cli/2.32.3 Python/3.13.9 Linux/6.1.156-177.286.amzn2023.x86_64 exec-env/CloudShell exe/x86_64.amzn.2023
コマンド内でjqを用いるので、未インストールの場合は入れておいてください。
取得する情報
aws bedrock list-foundation-modelsの出力イメージは以下です。
{
"modelSummaries": [
{
"modelArn": "arn:aws:bedrock:ap-northeast-1::foundation-model/qwen.qwen3-coder-480b-a35b-v1:0",
"modelId": "qwen.qwen3-coder-480b-a35b-v1:0",
"modelName": "Qwen3 Coder 480B A35B Instruct",
"providerName": "Qwen",
"inputModalities": [
"TEXT"
],
"outputModalities": [
"TEXT"
],
"responseStreamingSupported": true,
"customizationsSupported": [],
"inferenceTypesSupported": [
"ON_DEMAND"
],
"modelLifecycle": {
"status": "ACTIVE"
}
},
{
"modelArn": "arn:aws:bedrock:ap-northeast-1::foundation-model/anthropic.claude-sonnet-4-20250514-v1:0",
"modelId": "anthropic.claude-sonnet-4-20250514-v1:0",
"modelName": "Claude Sonnet 4",
"providerName": "Anthropic",
"inputModalities": [
"TEXT",
"IMAGE"
],
"outputModalities": [
"TEXT"
],
"responseStreamingSupported": true,
"customizationsSupported": [],
"inferenceTypesSupported": [
"INFERENCE_PROFILE"
],
"modelLifecycle": {
"status": "ACTIVE"
}
},
……
今回はこの内容を基に、以下のようにtsv形式で出力することにします。
region provider modelName modelId input output streaming customize inference lifecycle
ap-northeast-1 Qwen Qwen3 Coder 480B A35B Instruct qwen.qwen3-coder-480b-a35b-v1:0 TEXT TEXT true ON_DEMAND ACTIVE
ap-northeast-1 Anthropic Claude Sonnet 4 anthropic.claude-sonnet-4-20250514-v1:0 TEXT,IMAGE TEXT true INFERENCE_PROFILE ACTIVE
基盤モデルの情報はリージョンごとに異なります。後から一覧で見たときにリージョンの情報も列に含まれていると嬉しいかと思い、aws bedrock list-foundation-modelsの出力結果とは別に加えています。
各列の説明は以下の通りです。
| 列名 | 対応フィールド | 説明 |
|---|---|---|
| region | (なし) | 取得リージョン名 |
| provider | providerName | モデル提供プロバイダー |
| modelName | modelName | モデル名 |
| modelId | modelId | モデル ID |
| input | inputModalities | 入力対応モダリティ |
| output | outputModalities | 出力可能モダリティ |
| streaming | responseStreamingSupported | ストリーミング応答可否 |
| customize | customizationsSupported | カスタマイズ対応種別 |
| inference | inferenceTypesSupported | 推論提供方式(※後述) |
| lifecycle | modelLifecycle.status | モデルバージョンの状態(ACTIVE / LEGACY) |
複数の値を取りうる列は、カンマで接続して出力するようにしています。
inferenceTypesSupportedの値
2025/11/28時点のAWS CLIリファレンスでは、Possible Valueとして以下が記載されています。
ON_DEMANDPROVISIONED

実際の結果としては、INFERENCE_PROFILEが含まれていることがありました。INFERENCE_PROFILEのみが記載されているモデルは、クロスリージョン推論でのみサポートされていることを表します。
▼実行結果から一部抽出した例
| region | provider | modelName | modelId | inference |
|---|---|---|---|---|
| ap-northeast-1 | Anthropic | Claude 3.5 Sonnet | anthropic.claude-3-5-sonnet-20240620-v1:0 | ON_DEMAND |
| ap-northeast-1 | Anthropic | Claude 3.5 Sonnet v2 | anthropic.claude-3-5-sonnet-20241022-v2:0 | INFERENCE_PROFILE |
| ap-northeast-1 | Anthropic | Claude 3.7 Sonnet | anthropic.claude-3-7-sonnet-20250219-v1:0 | INFERENCE_PROFILE |
| ap-northeast-1 | Anthropic | Claude 3 Haiku | anthropic.claude-3-haiku-20240307-v1:0 | ON_DEMAND |
| ap-northeast-1 | Anthropic | Claude 3 Sonnet | anthropic.claude-3-sonnet-20240229-v1:0 | INFERENCE_PROFILE |
| ap-northeast-1 | Anthropic | Claude 3 Sonnet | anthropic.claude-3-sonnet-20240229-v1:0:200k | |
| ap-northeast-1 | Anthropic | Claude 3 Sonnet | anthropic.claude-3-sonnet-20240229-v1:0:28k | |
| ap-northeast-1 | Anthropic | Claude Haiku 4.5 | anthropic.claude-haiku-4-5-20251001-v1:0 | INFERENCE_PROFILE |
| ap-northeast-1 | Anthropic | Claude Opus 4.5 | anthropic.claude-opus-4-5-20251101-v1:0 | INFERENCE_PROFILE |
| ap-northeast-1 | Anthropic | Claude Sonnet 4 | anthropic.claude-sonnet-4-20250514-v1:0 | INFERENCE_PROFILE |

2025/11/28時点での東京リージョンでのモデルカタログの結果
👆inferenceTypesSupportedがONDEMANDのみであるClaude 3.5 Sonnet、Claude 3 Haikuではクロスリージョン推論の記述がないことがわかります。
単一のリージョンを指定してAmazon Bedrockでサポートされている基盤モデルを確認する
単一のリージョンでの実行を想定したコマンドです。事前に環境変数やAWS CLI設定ファイルでリージョンが指定されているケースを想定しています。(例えばAWS CloudShellでは環境変数に設定されています。)
使用するコマンドは以下です。
region=${AWS_REGION:-${AWS_DEFAULT_REGION:-$(aws configure get region)}}; {
echo -e "region\tprovider\tmodelName\tmodelId\tinput\toutput\tstreaming\tcustomize\tinference\tlifecycle"
aws bedrock list-foundation-models --region "$region" --output json \
| jq -r --arg region "$region" '
.modelSummaries // []
| sort_by(.providerName, .modelId)
| .[]
| [
$region,
.providerName,
.modelName,
.modelId,
(.inputModalities | join(",")),
(.outputModalities | join(",")),
(.responseStreamingSupported // false | tostring),
(.customizationsSupported | join(",")),
(.inferenceTypesSupported | join(",")),
(.modelLifecycle.status // "UNKNOWN")
]
| @tsv
'
}
- コマンド実行対象のリージョンを取得
- ヘッダーを出力
aws bedrock list-foundation-modelsの出力結果をjqでtsvに加工
という流れで実施しています。
東京リージョンのAWS CloudShellで実行したイメージは以下です。
~ $ region=${AWS_REGION:-${AWS_DEFAULT_REGION:-$(aws configure get region)}}; {
> echo -e "region\tprovider\tmodelName\tmodelId\tinput\toutput\tstreaming\tcustomize\tinference\tlifecycle"
> aws bedrock list-foundation-models --region "$region" --output json \
> | jq -r --arg region "$region" '
> .modelSummaries // []
> | sort_by(.providerName, .modelId)
> | .[]
> | [
> $region,
> .providerName,
> .modelName,
> .modelId,
> (.inputModalities | join(",")),
> (.outputModalities | join(",")),
> (.responseStreamingSupported // false | tostring),
> (.customizationsSupported | join(",")),
> (.inferenceTypesSupported | join(",")),
> (.modelLifecycle.status // "UNKNOWN")
> ]
> | @tsv
> '
> }
region provider modelName modelId input output streaming customize inference lifecycle
ap-northeast-1 Amazon Nova Canvas amazon.nova-canvas-v1:0 TEXT,IMAGE IMAGE false ON_DEMAND ACTIVE
ap-northeast-1 Amazon Nova Lite amazon.nova-lite-v1:0 TEXT,IMAGE,VIDEO TEXT true INFERENCE_PROFILE,ON_DEMAND ACTIVE
ap-northeast-1 Amazon Nova Micro amazon.nova-micro-v1:0 TEXT TEXT true INFERENCE_PROFILE ACTIVE
ap-northeast-1 Amazon Nova Pro amazon.nova-pro-v1:0 TEXT,IMAGE,VIDEO TEXT true INFERENCE_PROFILE ACTIVE
ap-northeast-1 Amazon Nova Reel amazon.nova-reel-v1:0 TEXT,IMAGE VIDEO false ON_DEMAND ACTIVE
ap-northeast-1 Amazon Nova Sonic amazon.nova-sonic-v1:0 SPEECH SPEECH,TEXT true ON_DEMAND ACTIVE
ap-northeast-1 Amazon Rerank 1.0 amazon.rerank-v1:0 TEXT TEXT false ON_DEMAND ACTIVE
ap-northeast-1 Amazon Titan Embeddings G1 - Text amazon.titan-embed-text-v1 TEXT EMBEDDING false ON_DEMAND ACTIVE
ap-northeast-1 Amazon Titan Embeddings G1 - Text amazon.titan-embed-text-v1:2:8k TEXT EMBEDDING false ACTIVE
ap-northeast-1 Amazon Titan Text Embeddings V2 amazon.titan-embed-text-v2:0 TEXT EMBEDDING false ON_DEMAND ACTIVE
ap-northeast-1 Amazon Titan Text G1 - Express amazon.titan-text-express-v1 TEXT TEXT true ON_DEMAND LEGACY
ap-northeast-1 Amazon Titan Text G1 - Express amazon.titan-text-express-v1:0:8k TEXT TEXT true LEGACY
ap-northeast-1 Anthropic Claude 3.5 Sonnet anthropic.claude-3-5-sonnet-20240620-v1:0 TEXT,IMAGE TEXT true ON_DEMAND ACTIVE
ap-northeast-1 Anthropic Claude 3.5 Sonnet v2 anthropic.claude-3-5-sonnet-20241022-v2:0 TEXT,IMAGE TEXT true INFERENCE_PROFILE ACTIVE
ap-northeast-1 Anthropic Claude 3.7 Sonnet anthropic.claude-3-7-sonnet-20250219-v1:0 TEXT,IMAGE TEXT true INFERENCE_PROFILE ACTIVE
ap-northeast-1 Anthropic Claude 3 Haiku anthropic.claude-3-haiku-20240307-v1:0 TEXT,IMAGE TEXT true ON_DEMAND ACTIVE
ap-northeast-1 Anthropic Claude 3 Sonnet anthropic.claude-3-sonnet-20240229-v1:0 TEXT,IMAGE TEXT true INFERENCE_PROFILE ACTIVE
ap-northeast-1 Anthropic Claude 3 Sonnet anthropic.claude-3-sonnet-20240229-v1:0:200k TEXT,IMAGE TEXT true ACTIVE
ap-northeast-1 Anthropic Claude 3 Sonnet anthropic.claude-3-sonnet-20240229-v1:0:28k TEXT,IMAGE TEXT true ACTIVE
ap-northeast-1 Anthropic Claude Haiku 4.5 anthropic.claude-haiku-4-5-20251001-v1:0 TEXT,IMAGE TEXT true INFERENCE_PROFILE ACTIVE
ap-northeast-1 Anthropic Claude Opus 4.5 anthropic.claude-opus-4-5-20251101-v1:0 TEXT,IMAGE TEXT true INFERENCE_PROFILE ACTIVE
ap-northeast-1 Anthropic Claude Sonnet 4 anthropic.claude-sonnet-4-20250514-v1:0 TEXT,IMAGE TEXT true INFERENCE_PROFILE ACTIVE
ap-northeast-1 Anthropic Claude Sonnet 4.5 anthropic.claude-sonnet-4-5-20250929-v1:0 TEXT,IMAGE TEXT true INFERENCE_PROFILE ACTIVE
ap-northeast-1 Cohere Embed English cohere.embed-english-v3 TEXT EMBEDDING false ON_DEMAND ACTIVE
ap-northeast-1 Cohere Embed Multilingual cohere.embed-multilingual-v3 TEXT EMBEDDING false ON_DEMAND ACTIVE
ap-northeast-1 Cohere Embed v4 cohere.embed-v4:0 TEXT,IMAGE EMBEDDING false ON_DEMAND,INFERENCE_PROFILE ACTIVE
ap-northeast-1 Cohere Rerank 3.5 cohere.rerank-v3-5:0 TEXT TEXT false ON_DEMAND ACTIVE
ap-northeast-1 DeepSeek DeepSeek-V3.1 deepseek.v3-v1:0 TEXT TEXT true ON_DEMAND ACTIVE
ap-northeast-1 OpenAI gpt-oss-120b openai.gpt-oss-120b-1:0 TEXT TEXT true ON_DEMAND ACTIVE
ap-northeast-1 OpenAI gpt-oss-20b openai.gpt-oss-20b-1:0 TEXT TEXT true ON_DEMAND ACTIVE
ap-northeast-1 Qwen Qwen3 235B A22B 2507 qwen.qwen3-235b-a22b-2507-v1:0 TEXT TEXT true ON_DEMAND ACTIVE
ap-northeast-1 Qwen Qwen3 32B (dense) qwen.qwen3-32b-v1:0 TEXT TEXT true ON_DEMAND ACTIVE
ap-northeast-1 Qwen Qwen3-Coder-30B-A3B-Instruct qwen.qwen3-coder-30b-a3b-v1:0 TEXT TEXT true ON_DEMAND ACTIVE
ap-northeast-1 Qwen Qwen3 Coder 480B A35B Instruct qwen.qwen3-coder-480b-a35b-v1:0 TEXT TEXT true ON_DEMAND ACTIVE
ap-northeast-1 TwelveLabs Pegasus v1.2 twelvelabs.pegasus-1-2-v1:0 TEXT,VIDEO TEXT true INFERENCE_PROFILE ACTIVE
tsvはスプレッドシートに貼り付けるなどお好みの形で取り扱ってください。
すべてのリージョンを対象にAmazon Bedrockでサポートされている基盤モデルを確認する(標準出力)
先ほどは単一のリージョンを対象にしていましたが、すべてのリージョンを対象に実行してみます。ここでの「すべて」とは有効になっているリージョンのことを指します。
使用するコマンドは以下です。
{
for r in $(aws ec2 describe-regions --query "Regions[].RegionName" --output text); do
echo "[INFO] $r" >&2
echo -e "region\tprovider\tmodelName\tmodelId\tinput\toutput\tstreaming\tcustomize\tinference\tlifecycle"
aws bedrock list-foundation-models --region "$r" --output json \
| jq -r --arg region "$r" '
.modelSummaries // []
| sort_by(.providerName, .modelId)
| .[]
| [
$region,
.providerName,
.modelName,
.modelId,
(.inputModalities | join(",")),
(.outputModalities | join(",")),
(.responseStreamingSupported // false | tostring),
(.customizationsSupported | join(",")),
(.inferenceTypesSupported | join(",")),
(.modelLifecycle.status // "UNKNOWN")
]
| @tsv
'
echo
done
}
- 実行対象のリージョンを取得(※)
- 対象リージョンに対して以下をループ実行
[info] リージョン名の出力- ヘッダーの出力
aws bedrock list-foundation-modelsの出力結果をjqでtsvに加工- 改行
(※)ここでは先述の通り「有効になっているすべてのリージョン」を対象にしています。オプトインされていないものも含めてすべてのリージョンを対象にしたい場合、aws ec2 describe-regionsコマンドに--all-regionsを付与することで実現できます。
AWS CloudShellでの実行イメージは以下です。
~ $ {
> for r in $(aws ec2 describe-regions --query "Regions[].RegionName" --output text); do
> echo "[INFO] $r" >&2
> echo -e "region\tprovider\tmodelName\tmodelId\tinput\toutput\tstreaming\tcustomize\tinference\tlifecycle"
> aws bedrock list-foundation-models --region "$r" --output json \
> | jq -r --arg region "$r" '
> .modelSummaries // []
> | sort_by(.providerName, .modelId)
> | .[]
> | [
> $region,
> .providerName,
> .modelName,
> .modelId,
> (.inputModalities | join(",")),
> (.outputModalities | join(",")),
> (.responseStreamingSupported // false | tostring),
> (.customizationsSupported | join(",")),
> (.inferenceTypesSupported | join(",")),
> (.modelLifecycle.status // "UNKNOWN")
> ]
> | @tsv
> '
> echo
> done
> }
[INFO] ap-south-1
region provider modelName modelId input output streaming customize inference lifecycle
ap-south-1 Amazon Nova Lite amazon.nova-lite-v1:0 TEXT,IMAGE,VIDEO TEXT true INFERENCE_PROFILE ACTIVE
ap-south-1 Amazon Nova Micro amazon.nova-micro-v1:0 TEXT TEXT true INFERENCE_PROFILE ACTIVE
(……ap-south-1リージョンの各種情報が続く)
[INFO] eu-north-1
region provider modelName modelId input output streaming customize inference lifecycle
eu-north-1 Amazon Nova Lite amazon.nova-lite-v1:0 TEXT,IMAGE,VIDEO TEXT true INFERENCE_PROFILE,ON_DEMAND ACTIVE
eu-north-1 Amazon Nova Micro amazon.nova-micro-v1:0 TEXT TEXT true INFERENCE_PROFILE ACTIVE
(……eu-north-1リージョンの各種情報が続く)
...他のリージョンの内訳が続く
すべてのリージョンを対象にAmazon Bedrockでサポートされている基盤モデルを確認する(ファイルに出力)
先ほどはすべてのリージョンを対象にした実行結果を標準出力に出力していました。実行結果をファイルに出力するパターンも作ってみます。
{
for r in $(aws ec2 describe-regions --query "Regions[].RegionName" --output text); do
TS=$(date "+%Y%m%d-%H%M%S")
FN="bedrock-foundation-models-${r}-${TS}.tsv"
echo "[INFO] $r -> $FN" >&2
{
echo -e "region\tprovider\tmodelName\tmodelId\tinput\toutput\tstreaming\tcustomize\tinference\tlifecycle"
aws bedrock list-foundation-models --region "$r" --output json \
| jq -r --arg region "$r" '
.modelSummaries // []
| sort_by(.providerName, .modelId)
| .[]
| [
$region,
.providerName,
.modelName,
.modelId,
(.inputModalities | join(",")),
(.outputModalities | join(",")),
(.responseStreamingSupported // false | tostring),
(.customizationsSupported | join(",")),
(.inferenceTypesSupported | join(",")),
(.modelLifecycle.status // "UNKNOWN")
]
| @tsv
'
} > "$FN"
done
}
大枠としては先ほどと処理の内容は変わりませんが、タイムスタンプを取得してファイル名に付与しています。
AWS CloudShellでの実行イメージは以下です。
work $ {
> for r in $(aws ec2 describe-regions --query "Regions[].RegionName" --output text); do
> TS=$(date "+%Y%m%d-%H%M%S")
> FN="bedrock-foundation-models-${r}-${TS}.tsv"
> echo "[INFO] $r -> $FN" >&2
>
> {
> echo -e "region\tprovider\tmodelName\tmodelId\tinput\toutput\tstreaming\tcustomize\tinference\tlifecycle"
>
> aws bedrock list-foundation-models --region "$r" --output json \
> | jq -r --arg region "$r" '
> .modelSummaries // []
> | sort_by(.providerName, .modelId)
> | .[]
> | [
> $region,
> .providerName,
> .modelName,
> .modelId,
> (.inputModalities | join(",")),
> (.outputModalities | join(",")),
> (.responseStreamingSupported // false | tostring),
> (.customizationsSupported | join(",")),
> (.inferenceTypesSupported | join(",")),
> (.modelLifecycle.status // "UNKNOWN")
> ]
> | @tsv
> '
> } > "$FN"
> done
> }
[INFO] ap-south-1 -> bedrock-foundation-models-ap-south-1-20251128-053434.tsv
[INFO] eu-north-1 -> bedrock-foundation-models-eu-north-1-20251128-053436.tsv
[INFO] eu-west-3 -> bedrock-foundation-models-eu-west-3-20251128-053437.tsv
[INFO] eu-west-2 -> bedrock-foundation-models-eu-west-2-20251128-053439.tsv
[INFO] eu-west-1 -> bedrock-foundation-models-eu-west-1-20251128-053441.tsv
[INFO] ap-northeast-3 -> bedrock-foundation-models-ap-northeast-3-20251128-053442.tsv
[INFO] ap-northeast-2 -> bedrock-foundation-models-ap-northeast-2-20251128-053443.tsv
[INFO] ap-northeast-1 -> bedrock-foundation-models-ap-northeast-1-20251128-053444.tsv
[INFO] ca-central-1 -> bedrock-foundation-models-ca-central-1-20251128-053445.tsv
[INFO] sa-east-1 -> bedrock-foundation-models-sa-east-1-20251128-053447.tsv
[INFO] ap-southeast-1 -> bedrock-foundation-models-ap-southeast-1-20251128-053449.tsv
[INFO] ap-southeast-2 -> bedrock-foundation-models-ap-southeast-2-20251128-053450.tsv
[INFO] eu-central-1 -> bedrock-foundation-models-eu-central-1-20251128-053451.tsv
[INFO] us-east-1 -> bedrock-foundation-models-us-east-1-20251128-053453.tsv
[INFO] us-east-2 -> bedrock-foundation-models-us-east-2-20251128-053455.tsv
[INFO] us-west-1 -> bedrock-foundation-models-us-west-1-20251128-053456.tsv
[INFO] us-west-2 -> bedrock-foundation-models-us-west-2-20251128-053457.tsv
こういったファイルが作成されています。
work $ ls -l
total 104
-rw-r--r--. 1 cloudshell-user cloudshell-user 3939 Nov 28 05:34 bedrock-foundation-models-ap-northeast-1-20251128-053444.tsv
-rw-r--r--. 1 cloudshell-user cloudshell-user 2510 Nov 28 05:34 bedrock-foundation-models-ap-northeast-2-20251128-053443.tsv
-rw-r--r--. 1 cloudshell-user cloudshell-user 1312 Nov 28 05:34 bedrock-foundation-models-ap-northeast-3-20251128-053442.tsv
-rw-r--r--. 1 cloudshell-user cloudshell-user 4359 Nov 28 05:34 bedrock-foundation-models-ap-south-1-20251128-053434.tsv
-rw-r--r--. 1 cloudshell-user cloudshell-user 2092 Nov 28 05:34 bedrock-foundation-models-ap-southeast-1-20251128-053449.tsv
-rw-r--r--. 1 cloudshell-user cloudshell-user 3549 Nov 28 05:34 bedrock-foundation-models-ap-southeast-2-20251128-053450.tsv
-rw-r--r--. 1 cloudshell-user cloudshell-user 2946 Nov 28 05:34 bedrock-foundation-models-ca-central-1-20251128-053445.tsv
-rw-r--r--. 1 cloudshell-user cloudshell-user 4042 Nov 28 05:34 bedrock-foundation-models-eu-central-1-20251128-053451.tsv
-rw-r--r--. 1 cloudshell-user cloudshell-user 2226 Nov 28 05:34 bedrock-foundation-models-eu-north-1-20251128-053436.tsv
-rw-r--r--. 1 cloudshell-user cloudshell-user 4516 Nov 28 05:34 bedrock-foundation-models-eu-west-1-20251128-053441.tsv
-rw-r--r--. 1 cloudshell-user cloudshell-user 3884 Nov 28 05:34 bedrock-foundation-models-eu-west-2-20251128-053439.tsv
-rw-r--r--. 1 cloudshell-user cloudshell-user 3897 Nov 28 05:34 bedrock-foundation-models-eu-west-3-20251128-053437.tsv
-rw-r--r--. 1 cloudshell-user cloudshell-user 2771 Nov 28 05:34 bedrock-foundation-models-sa-east-1-20251128-053447.tsv
-rw-r--r--. 1 cloudshell-user cloudshell-user 12330 Nov 28 05:34 bedrock-foundation-models-us-east-1-20251128-053453.tsv
-rw-r--r--. 1 cloudshell-user cloudshell-user 6895 Nov 28 05:34 bedrock-foundation-models-us-east-2-20251128-053455.tsv
-rw-r--r--. 1 cloudshell-user cloudshell-user 2115 Nov 28 05:34 bedrock-foundation-models-us-west-1-20251128-053456.tsv
-rw-r--r--. 1 cloudshell-user cloudshell-user 13107 Nov 28 05:34 bedrock-foundation-models-us-west-2-20251128-053457.tsv
試しにひとつ中身を見てみるとこんな感じです。
work $ cat bedrock-foundation-models-eu-west-1-20251128-053441.tsv
region provider modelName modelId input output streaming customize inference lifecycle
eu-west-1 Amazon Nova Canvas amazon.nova-canvas-v1:0 TEXT,IMAGE IMAGE false ON_DEMAND ACTIVE
eu-west-1 Amazon Nova Lite amazon.nova-lite-v1:0 TEXT,IMAGE,VIDEO TEXT true INFERENCE_PROFILE ACTIVE
eu-west-1 Amazon Nova Micro amazon.nova-micro-v1:0 TEXT TEXT true INFERENCE_PROFILE ACTIVE
eu-west-1 Amazon Nova Pro amazon.nova-pro-v1:0 TEXT,IMAGE,VIDEO TEXT true INFERENCE_PROFILE ACTIVE
eu-west-1 Amazon Nova Reel amazon.nova-reel-v1:0 TEXT,IMAGE VIDEO false ON_DEMAND ACTIVE
eu-west-1 Amazon Titan Multimodal Embeddings G1 amazon.titan-embed-image-v1 TEXT,IMAGE EMBEDDING false ON_DEMAND ACTIVE
eu-west-1 Amazon Titan Multimodal Embeddings G1 amazon.titan-embed-image-v1:0 TEXT,IMAGE EMBEDDING false PROVISIONED ACTIVE
eu-west-1 Amazon Titan Text Embeddings V2 amazon.titan-embed-text-v2:0 TEXT EMBEDDING false ON_DEMAND ACTIVE
eu-west-1 Amazon Titan Image Generator G1 amazon.titan-image-generator-v1 TEXT,IMAGE IMAGE false ON_DEMAND LEGACY
eu-west-1 Amazon Titan Text G1 - Express amazon.titan-text-express-v1 TEXT TEXT true ON_DEMAND LEGACY
eu-west-1 Amazon Titan Text G1 - Express amazon.titan-text-express-v1:0:8k TEXT TEXT true PROVISIONED LEGACY
eu-west-1 Amazon Titan Text G1 - Lite amazon.titan-text-lite-v1 TEXT TEXT true ON_DEMAND LEGACY
eu-west-1 Amazon Titan Text G1 - Lite amazon.titan-text-lite-v1:0:4k TEXT TEXT true PROVISIONED LEGACY
eu-west-1 Anthropic Claude 3.5 Sonnet anthropic.claude-3-5-sonnet-20240620-v1:0 TEXT,IMAGE TEXT true INFERENCE_PROFILE LEGACY
eu-west-1 Anthropic Claude 3.7 Sonnet anthropic.claude-3-7-sonnet-20250219-v1:0 TEXT,IMAGE TEXT true INFERENCE_PROFILE ACTIVE
eu-west-1 Anthropic Claude 3 Haiku anthropic.claude-3-haiku-20240307-v1:0 TEXT,IMAGE TEXT true ON_DEMAND ACTIVE
eu-west-1 Anthropic Claude 3 Haiku anthropic.claude-3-haiku-20240307-v1:0:48k TEXT,IMAGE TEXT true PROVISIONED ACTIVE
eu-west-1 Anthropic Claude 3 Sonnet anthropic.claude-3-sonnet-20240229-v1:0 TEXT,IMAGE TEXT true ON_DEMAND LEGACY
eu-west-1 Anthropic Claude 3 Sonnet anthropic.claude-3-sonnet-20240229-v1:0:200k TEXT,IMAGE TEXT true PROVISIONED LEGACY
eu-west-1 Anthropic Claude 3 Sonnet anthropic.claude-3-sonnet-20240229-v1:0:28k TEXT,IMAGE TEXT true PROVISIONED LEGACY
eu-west-1 Anthropic Claude Haiku 4.5 anthropic.claude-haiku-4-5-20251001-v1:0 TEXT,IMAGE TEXT true INFERENCE_PROFILE ACTIVE
eu-west-1 Anthropic Claude Opus 4.5 anthropic.claude-opus-4-5-20251101-v1:0 TEXT,IMAGE TEXT true INFERENCE_PROFILE ACTIVE
eu-west-1 Anthropic Claude Sonnet 4 anthropic.claude-sonnet-4-20250514-v1:0 TEXT,IMAGE TEXT true INFERENCE_PROFILE ACTIVE
eu-west-1 Anthropic Claude Sonnet 4.5 anthropic.claude-sonnet-4-5-20250929-v1:0 TEXT,IMAGE TEXT true INFERENCE_PROFILE ACTIVE
eu-west-1 Cohere Embed English cohere.embed-english-v3 TEXT EMBEDDING false ON_DEMAND ACTIVE
eu-west-1 Cohere Embed Multilingual cohere.embed-multilingual-v3 TEXT EMBEDDING false ON_DEMAND ACTIVE
eu-west-1 Cohere Embed v4 cohere.embed-v4:0 TEXT,IMAGE EMBEDDING false ON_DEMAND,INFERENCE_PROFILE ACTIVE
eu-west-1 Meta Llama 3.2 1B Instruct meta.llama3-2-1b-instruct-v1:0 TEXT TEXT true INFERENCE_PROFILE ACTIVE
eu-west-1 Meta Llama 3.2 3B Instruct meta.llama3-2-3b-instruct-v1:0 TEXT TEXT true INFERENCE_PROFILE ACTIVE
eu-west-1 Mistral AI Mistral 7B Instruct mistral.mistral-7b-instruct-v0:2 TEXT TEXT true ON_DEMAND ACTIVE
eu-west-1 Mistral AI Mistral Large (24.02) mistral.mistral-large-2402-v1:0 TEXT TEXT true ON_DEMAND ACTIVE
eu-west-1 Mistral AI Mixtral 8x7B Instruct mistral.mixtral-8x7b-instruct-v0:1 TEXT TEXT true ON_DEMAND ACTIVE
eu-west-1 Mistral AI Pixtral Large (25.02) mistral.pixtral-large-2502-v1:0 TEXT,IMAGE TEXT true INFERENCE_PROFILE ACTIVE
eu-west-1 OpenAI gpt-oss-120b openai.gpt-oss-120b-1:0 TEXT TEXT true ON_DEMAND ACTIVE
eu-west-1 OpenAI gpt-oss-20b openai.gpt-oss-20b-1:0 TEXT TEXT true ON_DEMAND ACTIVE
eu-west-1 Qwen Qwen3 32B (dense) qwen.qwen3-32b-v1:0 TEXT TEXT true ON_DEMAND ACTIVE
eu-west-1 Qwen Qwen3-Coder-30B-A3B-Instruct qwen.qwen3-coder-30b-a3b-v1:0 TEXT TEXT true ON_DEMAND ACTIVE
eu-west-1 TwelveLabs Marengo Embed v2.7 twelvelabs.marengo-embed-2-7-v1:0 TEXT,IMAGE,SPEECH,VIDEO EMBEDDING false INFERENCE_PROFILE ACTIVE
eu-west-1 TwelveLabs Marengo Embed 3.0 twelvelabs.marengo-embed-3-0-v1:0 TEXT,IMAGE,SPEECH,VIDEO EMBEDDING false INFERENCE_PROFILE ACTIVE
eu-west-1 TwelveLabs Pegasus v1.2 twelvelabs.pegasus-1-2-v1:0 TEXT,VIDEO TEXT true INFERENCE_PROFILE ACTIVE
現時点でリージョンごとのAmazon Bedrockでサポートされている基盤モデル一覧
2025/11/28時点で取得した情報をもとに、基盤モデルごとの各リージョンでのサポート状況をまとめてみました。100数十行あるテーブルなので、折り畳んでおきます。
クリックして展開
| provider | modelId | ap-northeast-1 | ap-northeast-2 | ap-northeast-3 | ap-south-1 | ap-southeast-1 | ap-southeast-2 | ca-central-1 | eu-central-1 | eu-north-1 | eu-west-1 | eu-west-2 | eu-west-3 | sa-east-1 | us-east-1 | us-east-2 | us-west-1 | us-west-2 | 対応リージョン数 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AI21 Labs | ai21.jamba-1-5-large-v1:0 | ✓ | 1 | ||||||||||||||||
| AI21 Labs | ai21.jamba-1-5-mini-v1:0 | ✓ | 1 | ||||||||||||||||
| Amazon | amazon.nova-2-multimodal-embeddings-v1:0 | ✓ | 1 | ||||||||||||||||
| Amazon | amazon.nova-canvas-v1:0 | ✓ | ✓ | ✓ | 3 | ||||||||||||||
| Amazon | amazon.nova-lite-v1:0 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 15 | ||
| Amazon | amazon.nova-lite-v1:0:24k | ✓ | 1 | ||||||||||||||||
| Amazon | amazon.nova-lite-v1:0:300k | ✓ | 1 | ||||||||||||||||
| Amazon | amazon.nova-micro-v1:0 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 13 | ||||
| Amazon | amazon.nova-micro-v1:0:128k | ✓ | 1 | ||||||||||||||||
| Amazon | amazon.nova-micro-v1:0:24k | ✓ | 1 | ||||||||||||||||
| Amazon | amazon.nova-premier-v1:0 | ✓ | ✓ | ✓ | 3 | ||||||||||||||
| Amazon | amazon.nova-premier-v1:0:1000k | ✓ | ✓ | ✓ | 3 | ||||||||||||||
| Amazon | amazon.nova-premier-v1:0:20k | ✓ | ✓ | ✓ | 3 | ||||||||||||||
| Amazon | amazon.nova-premier-v1:0:8k | ✓ | ✓ | ✓ | 3 | ||||||||||||||
| Amazon | amazon.nova-premier-v1:0:mm | ✓ | ✓ | ✓ | 3 | ||||||||||||||
| Amazon | amazon.nova-pro-v1:0 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 14 | |||
| Amazon | amazon.nova-pro-v1:0:24k | ✓ | 1 | ||||||||||||||||
| Amazon | amazon.nova-pro-v1:0:300k | ✓ | 1 | ||||||||||||||||
| Amazon | amazon.nova-reel-v1:0 | ✓ | ✓ | ✓ | 3 | ||||||||||||||
| Amazon | amazon.nova-reel-v1:1 | ✓ | 1 | ||||||||||||||||
| Amazon | amazon.nova-sonic-v1:0 | ✓ | ✓ | ✓ | 3 | ||||||||||||||
| Amazon | amazon.rerank-v1:0 | ✓ | ✓ | ✓ | ✓ | 4 | |||||||||||||
| Amazon | amazon.titan-embed-g1-text-02 | ✓ | ✓ | 2 | |||||||||||||||
| Amazon | amazon.titan-embed-image-v1 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 10 | |||||||
| Amazon | amazon.titan-embed-image-v1:0 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 10 | |||||||
| Amazon | amazon.titan-embed-text-v1 | ✓ | ✓ | ✓ | ✓ | 4 | |||||||||||||
| Amazon | amazon.titan-embed-text-v1:2:8k | ✓ | ✓ | ✓ | ✓ | 4 | |||||||||||||
| Amazon | amazon.titan-embed-text-v2:0 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 15 | ||
| Amazon | amazon.titan-embed-text-v2:0:8k | ✓ | ✓ | 2 | |||||||||||||||
| Amazon | amazon.titan-image-generator-v1 | ✓ | ✓ | ✓ | ✓ | ✓ | 5 | ||||||||||||
| Amazon | amazon.titan-image-generator-v1:0 | ✓ | ✓ | ✓ | ✓ | 4 | |||||||||||||
| Amazon | amazon.titan-image-generator-v2:0 | ✓ | ✓ | 2 | |||||||||||||||
| Amazon | amazon.titan-text-express-v1 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 11 | ||||||
| Amazon | amazon.titan-text-express-v1:0:8k | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 11 | ||||||
| Amazon | amazon.titan-text-lite-v1 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 10 | |||||||
| Amazon | amazon.titan-text-lite-v1:0:4k | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 10 | |||||||
| Amazon | amazon.titan-tg1-large | ✓ | ✓ | 2 | |||||||||||||||
| Anthropic | anthropic.claude-3-5-haiku-20241022-v1:0 | ✓ | ✓ | ✓ | 3 | ||||||||||||||
| Anthropic | anthropic.claude-3-5-sonnet-20240620-v1:0 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 11 | ||||||
| Anthropic | anthropic.claude-3-5-sonnet-20240620-v1:0:18k | ✓ | 1 | ||||||||||||||||
| Anthropic | anthropic.claude-3-5-sonnet-20240620-v1:0:200k | ✓ | 1 | ||||||||||||||||
| Anthropic | anthropic.claude-3-5-sonnet-20240620-v1:0:51k | ✓ | 1 | ||||||||||||||||
| Anthropic | anthropic.claude-3-5-sonnet-20241022-v2:0 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 9 | ||||||||
| Anthropic | anthropic.claude-3-5-sonnet-20241022-v2:0:18k | ✓ | 1 | ||||||||||||||||
| Anthropic | anthropic.claude-3-5-sonnet-20241022-v2:0:200k | ✓ | 1 | ||||||||||||||||
| Anthropic | anthropic.claude-3-5-sonnet-20241022-v2:0:51k | ✓ | 1 | ||||||||||||||||
| Anthropic | anthropic.claude-3-7-sonnet-20250219-v1:0 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 14 | |||
| Anthropic | anthropic.claude-3-haiku-20240307-v1:0 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 14 | |||
| Anthropic | anthropic.claude-3-haiku-20240307-v1:0:200k | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 6 | |||||||||||
| Anthropic | anthropic.claude-3-haiku-20240307-v1:0:48k | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 6 | |||||||||||
| Anthropic | anthropic.claude-3-opus-20240229-v1:0 | ✓ | ✓ | 2 | |||||||||||||||
| Anthropic | anthropic.claude-3-opus-20240229-v1:0:12k | ✓ | ✓ | 2 | |||||||||||||||
| Anthropic | anthropic.claude-3-opus-20240229-v1:0:200k | ✓ | ✓ | 2 | |||||||||||||||
| Anthropic | anthropic.claude-3-opus-20240229-v1:0:28k | ✓ | ✓ | 2 | |||||||||||||||
| Anthropic | anthropic.claude-3-sonnet-20240229-v1:0 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 13 | ||||
| Anthropic | anthropic.claude-3-sonnet-20240229-v1:0:200k | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 8 | |||||||||
| Anthropic | anthropic.claude-3-sonnet-20240229-v1:0:28k | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 9 | ||||||||
| Anthropic | anthropic.claude-haiku-4-5-20251001-v1:0 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 17 |
| Anthropic | anthropic.claude-instant-v1:2:100k | ✓ | ✓ | 2 | |||||||||||||||
| Anthropic | anthropic.claude-opus-4-1-20250805-v1:0 | ✓ | ✓ | ✓ | 3 | ||||||||||||||
| Anthropic | anthropic.claude-opus-4-20250514-v1:0 | ✓ | ✓ | ✓ | 3 | ||||||||||||||
| Anthropic | anthropic.claude-opus-4-5-20251101-v1:0 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 17 |
| Anthropic | anthropic.claude-sonnet-4-20250514-v1:0 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 14 | |||
| Anthropic | anthropic.claude-sonnet-4-20250514-v1:0:200k | ✓ | 1 | ||||||||||||||||
| Anthropic | anthropic.claude-sonnet-4-20250514-v1:0:32k | ✓ | 1 | ||||||||||||||||
| Anthropic | anthropic.claude-sonnet-4-5-20250929-v1:0 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 17 |
| Anthropic | anthropic.claude-v2:0:100k | ✓ | ✓ | 2 | |||||||||||||||
| Anthropic | anthropic.claude-v2:0:18k | ✓ | ✓ | 2 | |||||||||||||||
| Anthropic | anthropic.claude-v2:1:18k | ✓ | ✓ | ✓ | 3 | ||||||||||||||
| Anthropic | anthropic.claude-v2:1:200k | ✓ | ✓ | ✓ | 3 | ||||||||||||||
| Cohere | cohere.command-r-plus-v1:0 | ✓ | ✓ | 2 | |||||||||||||||
| Cohere | cohere.command-r-v1:0 | ✓ | ✓ | 2 | |||||||||||||||
| Cohere | cohere.embed-english-v3 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 12 | |||||
| Cohere | cohere.embed-english-v3:0:512 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 6 | |||||||||||
| Cohere | cohere.embed-multilingual-v3 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 12 | |||||
| Cohere | cohere.embed-multilingual-v3:0:512 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 6 | |||||||||||
| Cohere | cohere.embed-v4:0 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 17 |
| Cohere | cohere.rerank-v3-5:0 | ✓ | ✓ | ✓ | ✓ | ✓ | 5 | ||||||||||||
| DeepSeek | deepseek.r1-v1:0 | ✓ | ✓ | ✓ | 3 | ||||||||||||||
| DeepSeek | deepseek.v3-v1:0 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 6 | |||||||||||
| Luma AI | luma.ray-v2:0 | ✓ | 1 | ||||||||||||||||
| Meta | meta.llama3-1-405b-instruct-v1:0 | ✓ | ✓ | 2 | |||||||||||||||
| Meta | meta.llama3-1-70b-instruct-v1:0 | ✓ | ✓ | ✓ | 3 | ||||||||||||||
| Meta | meta.llama3-1-70b-instruct-v1:0:128k | ✓ | ✓ | 2 | |||||||||||||||
| Meta | meta.llama3-1-8b-instruct-v1:0 | ✓ | ✓ | ✓ | 3 | ||||||||||||||
| Meta | meta.llama3-1-8b-instruct-v1:0:128k | ✓ | ✓ | 2 | |||||||||||||||
| Meta | meta.llama3-2-11b-instruct-v1:0 | ✓ | ✓ | ✓ | 3 | ||||||||||||||
| Meta | meta.llama3-2-11b-instruct-v1:0:128k | ✓ | 1 | ||||||||||||||||
| Meta | meta.llama3-2-1b-instruct-v1:0 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 6 | |||||||||||
| Meta | meta.llama3-2-1b-instruct-v1:0:128k | ✓ | 1 | ||||||||||||||||
| Meta | meta.llama3-2-3b-instruct-v1:0 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 6 | |||||||||||
| Meta | meta.llama3-2-3b-instruct-v1:0:128k | ✓ | 1 | ||||||||||||||||
| Meta | meta.llama3-2-90b-instruct-v1:0 | ✓ | ✓ | ✓ | 3 | ||||||||||||||
| Meta | meta.llama3-2-90b-instruct-v1:0:128k | ✓ | 1 | ||||||||||||||||
| Meta | meta.llama3-3-70b-instruct-v1:0 | ✓ | ✓ | ✓ | 3 | ||||||||||||||
| Meta | meta.llama3-3-70b-instruct-v1:0:128k | ✓ | 1 | ||||||||||||||||
| Meta | meta.llama3-70b-instruct-v1:0 | ✓ | ✓ | ✓ | ✓ | ✓ | 5 | ||||||||||||
| Meta | meta.llama3-8b-instruct-v1:0 | ✓ | ✓ | ✓ | ✓ | ✓ | 5 | ||||||||||||
| Meta | meta.llama4-maverick-17b-instruct-v1:0 | ✓ | ✓ | ✓ | ✓ | 4 | |||||||||||||
| Meta | meta.llama4-maverick-17b-instruct-v1:0:128k | ✓ | 1 | ||||||||||||||||
| Meta | meta.llama4-maverick-17b-instruct-v1:0:1m | ✓ | 1 | ||||||||||||||||
| Meta | meta.llama4-scout-17b-instruct-v1:0 | ✓ | ✓ | ✓ | ✓ | 4 | |||||||||||||
| Meta | meta.llama4-scout-17b-instruct-v1:0:10m | ✓ | 1 | ||||||||||||||||
| Meta | meta.llama4-scout-17b-instruct-v1:0:128k | ✓ | 1 | ||||||||||||||||
| Mistral AI | mistral.mistral-7b-instruct-v0:2 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 9 | ||||||||
| Mistral AI | mistral.mistral-large-2402-v1:0 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 9 | ||||||||
| Mistral AI | mistral.mistral-large-2407-v1:0 | ✓ | 1 | ||||||||||||||||
| Mistral AI | mistral.mistral-small-2402-v1:0 | ✓ | 1 | ||||||||||||||||
| Mistral AI | mistral.mixtral-8x7b-instruct-v0:1 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 9 | ||||||||
| Mistral AI | mistral.pixtral-large-2502-v1:0 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 7 | ||||||||||
| OpenAI | openai.gpt-oss-120b-1:0 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 10 | |||||||
| OpenAI | openai.gpt-oss-20b-1:0 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 10 | |||||||
| Qwen | qwen.qwen3-235b-a22b-2507-v1:0 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 7 | ||||||||||
| Qwen | qwen.qwen3-32b-v1:0 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 10 | |||||||
| Qwen | qwen.qwen3-coder-30b-a3b-v1:0 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 10 | |||||||
| Qwen | qwen.qwen3-coder-480b-a35b-v1:0 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 6 | |||||||||||
| Stability AI | stability.sd3-5-large-v1:0 | ✓ | 1 | ||||||||||||||||
| Stability AI | stability.stable-conservative-upscale-v1:0 | ✓ | ✓ | ✓ | 3 | ||||||||||||||
| Stability AI | stability.stable-creative-upscale-v1:0 | ✓ | ✓ | ✓ | 3 | ||||||||||||||
| Stability AI | stability.stable-fast-upscale-v1:0 | ✓ | ✓ | ✓ | 3 | ||||||||||||||
| Stability AI | stability.stable-image-control-sketch-v1:0 | ✓ | ✓ | ✓ | 3 | ||||||||||||||
| Stability AI | stability.stable-image-control-structure-v1:0 | ✓ | ✓ | ✓ | 3 | ||||||||||||||
| Stability AI | stability.stable-image-core-v1:1 | ✓ | 1 | ||||||||||||||||
| Stability AI | stability.stable-image-erase-object-v1:0 | ✓ | ✓ | ✓ | 3 | ||||||||||||||
| Stability AI | stability.stable-image-inpaint-v1:0 | ✓ | ✓ | ✓ | 3 | ||||||||||||||
| Stability AI | stability.stable-image-remove-background-v1:0 | ✓ | ✓ | ✓ | 3 | ||||||||||||||
| Stability AI | stability.stable-image-search-recolor-v1:0 | ✓ | ✓ | ✓ | 3 | ||||||||||||||
| Stability AI | stability.stable-image-search-replace-v1:0 | ✓ | ✓ | ✓ | 3 | ||||||||||||||
| Stability AI | stability.stable-image-style-guide-v1:0 | ✓ | ✓ | ✓ | 3 | ||||||||||||||
| Stability AI | stability.stable-image-ultra-v1:1 | ✓ | 1 | ||||||||||||||||
| Stability AI | stability.stable-outpaint-v1:0 | ✓ | ✓ | ✓ | 3 | ||||||||||||||
| Stability AI | stability.stable-style-transfer-v1:0 | ✓ | ✓ | ✓ | 3 | ||||||||||||||
| TwelveLabs | twelvelabs.marengo-embed-2-7-v1:0 | ✓ | ✓ | ✓ | 3 | ||||||||||||||
| TwelveLabs | twelvelabs.marengo-embed-3-0-v1:0 | ✓ | ✓ | ✓ | 3 | ||||||||||||||
| TwelveLabs | twelvelabs.pegasus-1-2-v1:0 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 15 | ||
| Writer | writer.palmyra-x4-v1:0 | ✓ | ✓ | ✓ | ✓ | 4 | |||||||||||||
| Writer | writer.palmyra-x5-v1:0 | ✓ | ✓ | ✓ | ✓ | 4 | |||||||||||||
| 合計 | 137 | 35 | 20 | 10 | 39 | 17 | 29 | 26 | 36 | 20 | 40 | 36 | 34 | 25 | 108 | 59 | 18 | 114 |
マークダウンの表では見づらいと思いますので、お手元で加工したい場合は以下のcsvからどうぞ。
クリックして展開
provider,modelId,ap-northeast-1,ap-northeast-2,ap-northeast-3,ap-south-1,ap-southeast-1,ap-southeast-2,ca-central-1,eu-central-1,eu-north-1,eu-west-1,eu-west-2,eu-west-3,sa-east-1,us-east-1,us-east-2,us-west-1,us-west-2,対応リージョン数
AI21 Labs,ai21.jamba-1-5-large-v1:0,,,,,,,,,,,,,,✓,,,,1
AI21 Labs,ai21.jamba-1-5-mini-v1:0,,,,,,,,,,,,,,✓,,,,1
Amazon,amazon.nova-2-multimodal-embeddings-v1:0,,,,,,,,,,,,,,✓,,,,1
Amazon,amazon.nova-canvas-v1:0,✓,,,,,,,,,✓,,,,✓,,,,3
Amazon,amazon.nova-lite-v1:0,✓,✓,,✓,✓,✓,✓,✓,✓,✓,✓,✓,,✓,✓,✓,✓,15
Amazon,amazon.nova-lite-v1:0:24k,,,,,,,,,,,,,,✓,,,,1
Amazon,amazon.nova-lite-v1:0:300k,,,,,,,,,,,,,,✓,,,,1
Amazon,amazon.nova-micro-v1:0,✓,✓,,✓,✓,✓,,✓,✓,✓,✓,✓,,✓,✓,,✓,13
Amazon,amazon.nova-micro-v1:0:128k,,,,,,,,,,,,,,✓,,,,1
Amazon,amazon.nova-micro-v1:0:24k,,,,,,,,,,,,,,✓,,,,1
Amazon,amazon.nova-premier-v1:0,,,,,,,,,,,,,,✓,✓,,✓,3
Amazon,amazon.nova-premier-v1:0:1000k,,,,,,,,,,,,,,✓,✓,,✓,3
Amazon,amazon.nova-premier-v1:0:20k,,,,,,,,,,,,,,✓,✓,,✓,3
Amazon,amazon.nova-premier-v1:0:8k,,,,,,,,,,,,,,✓,✓,,✓,3
Amazon,amazon.nova-premier-v1:0:mm,,,,,,,,,,,,,,✓,✓,,✓,3
Amazon,amazon.nova-pro-v1:0,✓,✓,,✓,✓,✓,,✓,✓,✓,✓,✓,,✓,✓,✓,✓,14
Amazon,amazon.nova-pro-v1:0:24k,,,,,,,,,,,,,,✓,,,,1
Amazon,amazon.nova-pro-v1:0:300k,,,,,,,,,,,,,,✓,,,,1
Amazon,amazon.nova-reel-v1:0,✓,,,,,,,,,✓,,,,✓,,,,3
Amazon,amazon.nova-reel-v1:1,,,,,,,,,,,,,,✓,,,,1
Amazon,amazon.nova-sonic-v1:0,✓,,,,,,,,✓,,,,,✓,,,,3
Amazon,amazon.rerank-v1:0,✓,,,,,,✓,✓,,,,,,,,,✓,4
Amazon,amazon.titan-embed-g1-text-02,,,,,,,,,,,,,,✓,,,✓,2
Amazon,amazon.titan-embed-image-v1,,,,✓,,✓,✓,✓,,✓,✓,✓,✓,✓,,,✓,10
Amazon,amazon.titan-embed-image-v1:0,,,,✓,,✓,✓,✓,,✓,✓,✓,✓,✓,,,✓,10
Amazon,amazon.titan-embed-text-v1,✓,,,,,,,✓,,,,,,✓,,,✓,4
Amazon,amazon.titan-embed-text-v1:2:8k,✓,,,,,,,✓,,,,,,✓,,,✓,4
Amazon,amazon.titan-embed-text-v2:0,✓,✓,✓,✓,,✓,✓,✓,✓,✓,✓,✓,✓,✓,✓,,✓,15
Amazon,amazon.titan-embed-text-v2:0:8k,,,✓,,,,,,,,,,,✓,,,,2
Amazon,amazon.titan-image-generator-v1,,,,✓,,,,,,✓,✓,,,✓,,,✓,5
Amazon,amazon.titan-image-generator-v1:0,,,,✓,,,,,,,✓,,,✓,,,✓,4
Amazon,amazon.titan-image-generator-v2:0,,,,,,,,,,,,,,✓,,,✓,2
Amazon,amazon.titan-text-express-v1,✓,,,✓,,✓,✓,✓,,✓,✓,✓,✓,✓,,,✓,11
Amazon,amazon.titan-text-express-v1:0:8k,✓,,,✓,,✓,✓,✓,,✓,✓,✓,✓,✓,,,✓,11
Amazon,amazon.titan-text-lite-v1,,,,✓,,✓,✓,✓,,✓,✓,✓,✓,✓,,,✓,10
Amazon,amazon.titan-text-lite-v1:0:4k,,,,✓,,✓,✓,✓,,✓,✓,✓,✓,✓,,,✓,10
Amazon,amazon.titan-tg1-large,,,,,,,,,,,,,,✓,,,✓,2
Anthropic,anthropic.claude-3-5-haiku-20241022-v1:0,,,,,,,,,,,,,,✓,✓,,✓,3
Anthropic,anthropic.claude-3-5-sonnet-20240620-v1:0,✓,✓,,✓,✓,✓,,✓,,✓,,✓,,✓,✓,,✓,11
Anthropic,anthropic.claude-3-5-sonnet-20240620-v1:0:18k,,,,,,,,,,,,,,,,,✓,1
Anthropic,anthropic.claude-3-5-sonnet-20240620-v1:0:200k,,,,,,,,,,,,,,,,,✓,1
Anthropic,anthropic.claude-3-5-sonnet-20240620-v1:0:51k,,,,,,,,,,,,,,,,,✓,1
Anthropic,anthropic.claude-3-5-sonnet-20241022-v2:0,✓,✓,✓,✓,✓,✓,,,,,,,,✓,✓,,✓,9
Anthropic,anthropic.claude-3-5-sonnet-20241022-v2:0:18k,,,,,,,,,,,,,,,,,✓,1
Anthropic,anthropic.claude-3-5-sonnet-20241022-v2:0:200k,,,,,,,,,,,,,,,,,✓,1
Anthropic,anthropic.claude-3-5-sonnet-20241022-v2:0:51k,,,,,,,,,,,,,,,,,✓,1
Anthropic,anthropic.claude-3-7-sonnet-20250219-v1:0,✓,✓,✓,✓,✓,✓,,✓,✓,✓,✓,✓,,✓,✓,,✓,14
Anthropic,anthropic.claude-3-haiku-20240307-v1:0,✓,✓,,✓,✓,✓,✓,✓,,✓,✓,✓,✓,✓,✓,,✓,14
Anthropic,anthropic.claude-3-haiku-20240307-v1:0:200k,,✓,,,,✓,,,,,,✓,,✓,✓,,✓,6
Anthropic,anthropic.claude-3-haiku-20240307-v1:0:48k,,,,✓,,✓,,,,✓,,✓,,✓,,,✓,6
Anthropic,anthropic.claude-3-opus-20240229-v1:0,,,,,,,,,,,,,,✓,,,✓,2
Anthropic,anthropic.claude-3-opus-20240229-v1:0:12k,,,,,,,,,,,,,,✓,,,✓,2
Anthropic,anthropic.claude-3-opus-20240229-v1:0:200k,,,,,,,,,,,,,,✓,,,✓,2
Anthropic,anthropic.claude-3-opus-20240229-v1:0:28k,,,,,,,,,,,,,,✓,,,✓,2
Anthropic,anthropic.claude-3-sonnet-20240229-v1:0,✓,✓,,✓,✓,✓,✓,✓,,✓,✓,✓,✓,✓,,,✓,13
Anthropic,anthropic.claude-3-sonnet-20240229-v1:0:200k,✓,✓,,,✓,✓,,,,✓,,✓,,✓,,,✓,8
Anthropic,anthropic.claude-3-sonnet-20240229-v1:0:28k,✓,✓,,✓,✓,✓,,,,✓,,✓,,✓,,,✓,9
Anthropic,anthropic.claude-haiku-4-5-20251001-v1:0,✓,✓,✓,✓,✓,✓,✓,✓,✓,✓,✓,✓,✓,✓,✓,✓,✓,17
Anthropic,anthropic.claude-instant-v1:2:100k,,,,,,,,,,,,,,✓,,,✓,2
Anthropic,anthropic.claude-opus-4-1-20250805-v1:0,,,,,,,,,,,,,,✓,✓,,✓,3
Anthropic,anthropic.claude-opus-4-20250514-v1:0,,,,,,,,,,,,,,✓,✓,,✓,3
Anthropic,anthropic.claude-opus-4-5-20251101-v1:0,✓,✓,✓,✓,✓,✓,✓,✓,✓,✓,✓,✓,✓,✓,✓,✓,✓,17
Anthropic,anthropic.claude-sonnet-4-20250514-v1:0,✓,✓,✓,✓,✓,✓,,✓,✓,✓,,✓,,✓,✓,✓,✓,14
Anthropic,anthropic.claude-sonnet-4-20250514-v1:0:200k,,,,,,,,,,,,,,,,✓,,1
Anthropic,anthropic.claude-sonnet-4-20250514-v1:0:32k,,,,,,,,,,,,,,,,✓,,1
Anthropic,anthropic.claude-sonnet-4-5-20250929-v1:0,✓,✓,✓,✓,✓,✓,✓,✓,✓,✓,✓,✓,✓,✓,✓,✓,✓,17
Anthropic,anthropic.claude-v2:0:100k,,,,,,,,,,,,,,✓,,,✓,2
Anthropic,anthropic.claude-v2:0:18k,,,,,,,,,,,,,,✓,,,✓,2
Anthropic,anthropic.claude-v2:1:18k,,,,,,,,✓,,,,,,✓,,,✓,3
Anthropic,anthropic.claude-v2:1:200k,,,,,,,,✓,,,,,,✓,,,✓,3
Cohere,cohere.command-r-plus-v1:0,,,,,,,,,,,,,,✓,,,✓,2
Cohere,cohere.command-r-v1:0,,,,,,,,,,,,,,✓,,,✓,2
Cohere,cohere.embed-english-v3,✓,,,✓,✓,✓,✓,✓,,✓,✓,✓,✓,✓,,,✓,12
Cohere,cohere.embed-english-v3:0:512,,,,,,,✓,,,,✓,✓,✓,✓,,,✓,6
Cohere,cohere.embed-multilingual-v3,✓,,,✓,✓,✓,✓,✓,,✓,✓,✓,✓,✓,,,✓,12
Cohere,cohere.embed-multilingual-v3:0:512,,,,,,,✓,,,,✓,✓,✓,✓,,,✓,6
Cohere,cohere.embed-v4:0,✓,✓,✓,✓,✓,✓,✓,✓,✓,✓,✓,✓,✓,✓,✓,✓,✓,17
Cohere,cohere.rerank-v3-5:0,✓,,,,,,✓,✓,,,,,,✓,,,✓,5
DeepSeek,deepseek.r1-v1:0,,,,,,,,,,,,,,✓,✓,,✓,3
DeepSeek,deepseek.v3-v1:0,✓,,,✓,,,,,✓,,✓,,,,✓,,✓,6
Luma AI,luma.ray-v2:0,,,,,,,,,,,,,,,,,✓,1
Meta,meta.llama3-1-405b-instruct-v1:0,,,,,,,,,,,,,,,✓,,✓,2
Meta,meta.llama3-1-70b-instruct-v1:0,,,,,,,,,,,,,,✓,✓,,✓,3
Meta,meta.llama3-1-70b-instruct-v1:0:128k,,,,,,,,,,,,,,,✓,,✓,2
Meta,meta.llama3-1-8b-instruct-v1:0,,,,,,,,,,,,,,✓,✓,,✓,3
Meta,meta.llama3-1-8b-instruct-v1:0:128k,,,,,,,,,,,,,,,✓,,✓,2
Meta,meta.llama3-2-11b-instruct-v1:0,,,,,,,,,,,,,,✓,✓,,✓,3
Meta,meta.llama3-2-11b-instruct-v1:0:128k,,,,,,,,,,,,,,,,,✓,1
Meta,meta.llama3-2-1b-instruct-v1:0,,,,,,,,✓,,✓,,✓,,✓,✓,,✓,6
Meta,meta.llama3-2-1b-instruct-v1:0:128k,,,,,,,,,,,,,,,,,✓,1
Meta,meta.llama3-2-3b-instruct-v1:0,,,,,,,,✓,,✓,,✓,,✓,✓,,✓,6
Meta,meta.llama3-2-3b-instruct-v1:0:128k,,,,,,,,,,,,,,,,,✓,1
Meta,meta.llama3-2-90b-instruct-v1:0,,,,,,,,,,,,,,✓,✓,,✓,3
Meta,meta.llama3-2-90b-instruct-v1:0:128k,,,,,,,,,,,,,,,,,✓,1
Meta,meta.llama3-3-70b-instruct-v1:0,,,,,,,,,,,,,,✓,✓,,✓,3
Meta,meta.llama3-3-70b-instruct-v1:0:128k,,,,,,,,,,,,,,,,,✓,1
Meta,meta.llama3-70b-instruct-v1:0,,,,✓,,,✓,,,,✓,,,✓,,,✓,5
Meta,meta.llama3-8b-instruct-v1:0,,,,✓,,,✓,,,,✓,,,✓,,,✓,5
Meta,meta.llama4-maverick-17b-instruct-v1:0,,,,,,,,,,,,,,✓,✓,✓,✓,4
Meta,meta.llama4-maverick-17b-instruct-v1:0:128k,,,,,,,,,,,,,,,,✓,,1
Meta,meta.llama4-maverick-17b-instruct-v1:0:1m,,,,,,,,,,,,,,,,✓,,1
Meta,meta.llama4-scout-17b-instruct-v1:0,,,,,,,,,,,,,,✓,✓,✓,✓,4
Meta,meta.llama4-scout-17b-instruct-v1:0:10m,,,,,,,,,,,,,,,,✓,,1
Meta,meta.llama4-scout-17b-instruct-v1:0:128k,,,,,,,,,,,,,,,,✓,,1
Mistral AI,mistral.mistral-7b-instruct-v0:2,,,,✓,,✓,✓,,,✓,✓,✓,✓,✓,,,✓,9
Mistral AI,mistral.mistral-large-2402-v1:0,,,,✓,,✓,✓,,,✓,✓,✓,✓,✓,,,✓,9
Mistral AI,mistral.mistral-large-2407-v1:0,,,,,,,,,,,,,,,,,✓,1
Mistral AI,mistral.mistral-small-2402-v1:0,,,,,,,,,,,,,,✓,,,,1
Mistral AI,mistral.mixtral-8x7b-instruct-v0:1,,,,✓,,✓,✓,,,✓,✓,✓,✓,✓,,,✓,9
Mistral AI,mistral.pixtral-large-2502-v1:0,,,,,,,,✓,✓,✓,,✓,,✓,✓,,✓,7
OpenAI,openai.gpt-oss-120b-1:0,✓,,,✓,,,,✓,✓,✓,✓,,✓,✓,✓,,✓,10
OpenAI,openai.gpt-oss-20b-1:0,✓,,,✓,,,,✓,✓,✓,✓,,✓,✓,✓,,✓,10
Qwen,qwen.qwen3-235b-a22b-2507-v1:0,✓,,,✓,,,,✓,✓,,✓,,,,✓,,✓,7
Qwen,qwen.qwen3-32b-v1:0,✓,,,✓,,,,✓,✓,✓,✓,,✓,✓,✓,,✓,10
Qwen,qwen.qwen3-coder-30b-a3b-v1:0,✓,,,✓,,,,✓,✓,✓,✓,,✓,✓,✓,,✓,10
Qwen,qwen.qwen3-coder-480b-a35b-v1:0,✓,,,✓,,,,,✓,,✓,,,,✓,,✓,6
Stability AI,stability.sd3-5-large-v1:0,,,,,,,,,,,,,,,,,✓,1
Stability AI,stability.stable-conservative-upscale-v1:0,,,,,,,,,,,,,,✓,✓,,✓,3
Stability AI,stability.stable-creative-upscale-v1:0,,,,,,,,,,,,,,✓,✓,,✓,3
Stability AI,stability.stable-fast-upscale-v1:0,,,,,,,,,,,,,,✓,✓,,✓,3
Stability AI,stability.stable-image-control-sketch-v1:0,,,,,,,,,,,,,,✓,✓,,✓,3
Stability AI,stability.stable-image-control-structure-v1:0,,,,,,,,,,,,,,✓,✓,,✓,3
Stability AI,stability.stable-image-core-v1:1,,,,,,,,,,,,,,,,,✓,1
Stability AI,stability.stable-image-erase-object-v1:0,,,,,,,,,,,,,,✓,✓,,✓,3
Stability AI,stability.stable-image-inpaint-v1:0,,,,,,,,,,,,,,✓,✓,,✓,3
Stability AI,stability.stable-image-remove-background-v1:0,,,,,,,,,,,,,,✓,✓,,✓,3
Stability AI,stability.stable-image-search-recolor-v1:0,,,,,,,,,,,,,,✓,✓,,✓,3
Stability AI,stability.stable-image-search-replace-v1:0,,,,,,,,,,,,,,✓,✓,,✓,3
Stability AI,stability.stable-image-style-guide-v1:0,,,,,,,,,,,,,,✓,✓,,✓,3
Stability AI,stability.stable-image-ultra-v1:1,,,,,,,,,,,,,,,,,✓,1
Stability AI,stability.stable-outpaint-v1:0,,,,,,,,,,,,,,✓,✓,,✓,3
Stability AI,stability.stable-style-transfer-v1:0,,,,,,,,,,,,,,✓,✓,,✓,3
TwelveLabs,twelvelabs.marengo-embed-2-7-v1:0,,✓,,,,,,,,✓,,,,✓,,,,3
TwelveLabs,twelvelabs.marengo-embed-3-0-v1:0,,✓,,,,,,,,✓,,,,✓,,,,3
TwelveLabs,twelvelabs.pegasus-1-2-v1:0,✓,✓,✓,✓,,,✓,✓,✓,✓,✓,✓,✓,✓,✓,✓,✓,15
Writer,writer.palmyra-x4-v1:0,,,,,,,,,,,,,,✓,✓,✓,✓,4
Writer,writer.palmyra-x5-v1:0,,,,,,,,,,,,,,✓,✓,✓,✓,4
合計,137,35,20,10,39,17,29,26,36,20,40,36,34,25,108,59,18,114,
終わりに
Amazon Bedrockでサポートされている基盤モデルをAWS CLIで一覧取得する内容をご紹介しました。
tsvをスプレッドシートに転記してみたり、生成AIにインプットして更なるまとめを作ったり、お好みの形で取り扱ってください。
使い回ししやすい形でパッと基盤モデル一覧を取得する、というニーズがあった場合に参考になれば幸いです。
以上、チバユキ (@batchicchi)がお送りしました。







