AIモデルインテリジェンス

機能 · 2026-09-28

Tool calling に対応した AI モデル

ツール呼び出し / 関数呼び出しに対応する AI モデルの比較 —— エージェントと自動化に最適。

これは何か

  • Tool calling(function calling)により、LLM が構造化 JSON で外部関数(検索・コード実行・DB クエリなど)の呼び出しを生成できます。
  • モデルは関数名と引数を JSON で返し、ランタイムが実行して結果をツールメッセージとして戻します。

なぜ重要か

  • ツール呼び出しがないと、エージェントは自由文を正規表現で解析する必要があり壊れやすいです。
  • RAG、ReAct ループ、多段アシスタントを本番で安定させるのは Tool calling です。

この機能に対応するモデル 1375 件

モデルベンダー入力 / 1M出力 / 1Mコンテキストプロバイダー
Voxtral Small 24B 2507Mistral$0.002$0.00233K5
Llama-3.1-8B-InstructMeta$0.020$0.030131K17
Meta Llama 3.1 8B Instruct TurboMeta$0.020$0.030128K1
Ministral 3Bazure$0.040$0.040128K1
Ministral 3Bazure-cognitive-services$0.040$0.040128K1
Ministral 3B (latest)Mistral$0.040$0.040128K1
Ling 3.0 Flash VLopenrouter$0.021$0.062262K1
Ling 3.0 Flashopenrouter$0.021$0.063262K1
Ling 3.0 Flashvercel$0.021$0.063256K1
L3 8B Stheno V3.2novita-ai$0.050$0.0508K1
DeepSeek V4 Flash 0731DeepSeek$0.035$0.0701.31M47
gpt-oss-20bOpenAI$0.018$0.090131K30
Qwen3.5 4BAlibaba (Qwen)$0.040$0.070262K3
GPT OSS 20B (FlexAI)edenai$0.020$0.100131K2
Sarvam 30Bfastrouter$0.020$0.100128K1
Granite 4.0 H Microcloudflare-workers-ai$0.017$0.112131K1
Llama 3.1 8BMeta$0.050$0.080131K2
amazon--nova-microsap-ai-core$0.030$0.100128K1
Model Routerazure$0.140Unknown200K1
Model Routerazure-cognitive-services$0.140Unknown200K1
Mellum2 12B A2.5Bwandb$0.050$0.100131K1
Granite 4.1 8Bwandb$0.050$0.100131K1
Qwen3.7 FlashAlibaba (Qwen)$0.030$0.1301M13
DeepSeek R1 Distill Llama 70BMeta$0.030$0.130128K3
GPT OSS 120Bllmgateway$0.032$0.140131K1
Amazon: Nova Micro 1.0kilo$0.035$0.140128K1
Nova Micro 1.0openrouter$0.035$0.140128K1
Nova Microvercel$0.035$0.140128K1
Nova Microedenai$0.035$0.140128K1
Nova Micro (US)edenai$0.035$0.140128K1
Nova Microamazon-bedrock$0.035$0.140128K1
Nova Micro (US)amazon-bedrock$0.035$0.140128K1
Laguna XS 2.1openrouter$0.060$0.120262K1
GLM Flash LatestZ.AI / Zhipu$0.045$0.1401.31M4
Nova Micro (APAC)amazon-bedrock$0.037$0.148128K1
Command R7BCohere$0.037$0.150128K5
Command R7B ArabicCohere$0.037$0.150128K1
Qwen3.5 9BAlibaba (Qwen)$0.040$0.150262K23
Mercury 2.5inception$0.040$0.150260K4
Mercury 2.5 Previewinception$0.040$0.150260K1
Trinity Miniclarifai$0.045$0.150131K1
nova-micro-v1cortecs$0.040$0.159128K1
gpt-oss-120bOpenAI$0.030$0.170131K48
Nemotron 3.5 Lightning 30B A3BNVIDIA$0.050$0.150262K6
Ministral 3 3B 2512Mistral$0.100$0.100131K4
GPT OSS 120B (FlexAI)edenai$0.030$0.170131K4
Nemotron 3 Ultra 550B A55BNVIDIA$0.100$0.100131K3
Llama 3.2 3BMeta$0.100$0.100128K2
Agnes 3.0 Flashnano-gpt$0.050$0.150524K1
Space Bunny Alphanano-gpt$0.050$0.1501M1
Reka Edgekilo$0.100$0.10016K1
Reka Edgeopenrouter$0.100$0.10016K1
Sarvam 105Bfastrouter$0.040$0.160131K1
Ministral 3Bpioneer$0.100$0.100128K1
Ministral 8B (latest)Mistral$0.100$0.100128K1
Nova Micro (EU)amazon-bedrock$0.040$0.160128K1
GPT OSS 120Bsynthetic$0.100$0.100131K1
DeepSeek V4 Flash LatestDeepSeek$0.050$0.1601.31M4
GPT OSS 20Bcortecs$0.045$0.167131K1
Nemotron 3.5 Lightning 30B A3BNVIDIA$0.039$0.1801M6

全 1375 件中、上位 60 件を表示。 さらに絞り込むには モデル一覧 をご利用ください。

Frequently asked questions

How many AI models support ツール呼び出し?

1375 canonical models in our database currently support ツール呼び出し. The list is regenerated on every data refresh, so it always reflects the latest releases tracked in our catalogue.

What is the cheapest model with ツール呼び出し?

Voxtral Small 24B 2507 from Mistral is currently the lowest-priced option, at $0.002 per 1M input tokens and $0.002 per 1M output tokens. The full table above is sorted price-ascending.

Which model with ツール呼び出し has the largest context window?

Qwen Long (Alibaba (Qwen)) leads on context at 10M tokens. This may matter if you also need long-document understanding alongside ツール呼び出し.

Which models are available on the most providers?

Production-readiness usually correlates with how many independent providers host the same weights. The top three by provider count are: GLM-5.2 (89), Kimi K3 (75), DeepSeek V4 Pro (72).

How is ツール呼び出し different from a regular LLM?

Tool calling lets the model emit a structured JSON request to invoke an external function (search, code execution, DB query) instead of replying with prose. Without it, agents must parse freeform text — fragile and slow.

How often is this list updated?

Daily. Our data pipeline syncs once a day, regenerates the canonical model list, and rebuilds these pages so newly released models appear within 24 hours.

最終更新:

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.