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

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

Amazon Bedrockでサポートされている基盤モデルをAWS CLIで一覧取得するコマンドを整えました。単一リージョンでの実行版と、すべてのリージョンでの実行版があります。
2025.11.28

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。

https://docs.aws.amazon.com/ja_jp/bedrock/latest/userguide/models-supported.html

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。

Amazon_Bedrock_でサポートされている基盤モデル_-_Amazon_Bedrock
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_DEMAND
  • PROVISIONED

list-foundation-models_—_AWS_CLI_2_32_3_Command_Reference

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

Model_Catalog___Amazon_Bedrock___ap-northeast-1
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。

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