AIモデルインテリジェンス

機能 · 2026-06-29

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 745 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$0.00232K4
Ling-2.6-flashopenrouter$0.010$0.030262K1
Meta-Llama-3.1-8B-InstructMeta$0.020$0.030128K20
Meta Llama 3.1 8B Instruct TurboMeta$0.020$0.030128K1
Mistral NemoMistral$0.020$0.040128K6
Ministral 3B (latest)Mistral$0.040$0.040128K1
Ministral 3Bazure$0.040$0.040128K1
Ministral 3Bazure-cognitive-services$0.040$0.040128K1
Llama-3.2-11B-Vision-InstructMeta$0.049$0.049128K9
L3 8B Stheno V3.2novita-ai$0.050$0.0508K1
Gemma 3 4B ITGoogle$0.040$0.080128K4
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
Sarvam 30Bnano-gpt$0.028$0.11166K1
Google Gemma 3 27B InstructGoogle$0.030$0.110203K10
Model Routerazure$0.140Unknown128K1
Model Routerazure-cognitive-services$0.140Unknown128K1
IBM: Granite 4.1 8Bkilo$0.050$0.100131K1
Granite 4.1 8Bopenrouter$0.050$0.100131K1
Granite 4.1 8Bnano-gpt$0.050$0.100131K1
DeepSeek R1 Distill Llama 70BMeta$0.030$0.13033K3
gpt-oss-20bOpenAI$0.029$0.140128K24
Qwen3 235B A22B 2507Alibaba (Qwen)$0.071$0.100262K3
Nova Microvercel$0.035$0.140128K1
Amazon: Nova Micro 1.0kilo$0.035$0.140128K1
Nova Microamazon-bedrock$0.035$0.140128K1
Nova Micro 1.0openrouter$0.035$0.140128K1
gpt-oss-120bOpenAI$0.030$0.150128K37
Command R7BCohere$0.037$0.150128K4
Command R7B ArabicCohere$0.037$0.150128K1
Qwen3.5 9BAlibaba (Qwen)$0.040$0.150262K14
GPT OSS 20Bllmgateway$0.040$0.150131K1
Arcee AI: Trinity Minikilo$0.045$0.150131K1
Trinity Miniopenrouter$0.045$0.150131K1
Trinity Miniclarifai$0.045$0.150131K1
Qwen3 235B A22B Instruct 2507Alibaba (Qwen)$0.100$0.100262K16
Qwen3-235B-A22B-Thinking-2507Alibaba (Qwen)$0.100$0.100262K16
nvidia-nemotron-nano-9b-v2NVIDIA$0.040$0.160131K5
Ministral 3 3B 2512Mistral$0.100$0.100131K3
Ministral 8B (latest)Mistral$0.100$0.100128K1
Reka Edgekilo$0.100$0.10016K1
Reka Edgeopenrouter$0.100$0.10016K1
Sarvam 105Bfastrouter$0.040$0.160131K1
GPT OSS 120Bsynthetic$0.100$0.100128K1
Sarvam 105Bnano-gpt$0.045$0.177131K1
GLM-4.6V-FlashZ.AI / Zhipu$0.020$0.210128K3
Qwen Doc TurboAlibaba (Qwen)$0.087$0.144131K1
Mistral Small 3.2 24BMistral$0.060$0.180128K3
Qwen3 30B A3B Instruct 2507Alibaba (Qwen)$0.048$0.193262K12
nemotron-3-nano-30b-a3bNVIDIA$0.050$0.200131K7
Qwen TurboAlibaba (Qwen)$0.050$0.2001M5
GPT OSS 20Bdatabricks$0.050$0.200131K1
GPT OSS 20Bneon$0.050$0.200131K1
GPT OSS Safeguard 20BOpenAI$0.070$0.200128K6
Qwen2.5 VL 32B InstructAlibaba (Qwen)$0.050$0.220131K3
GPT OSS 20Bfrogbot$0.070$0.200131K1
Hy3 previewopenrouter$0.063$0.210262K1
Llama-3.3-70B-InstructMeta$0.050$0.230128K22
Qwen2.5 72B InstructAlibaba (Qwen)$0.062$0.23133K5

全 745 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?

745 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: Kimi K2.6 (49), Kimi K2.5 (48), GLM-5.1 (47).

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.