AI 模型情報

能力 · 2026-08-15

支援 Tool calling 的 AI 模型

對比支援工具呼叫 / 函式呼叫的 AI 模型 —— 適合搭建 Agent 與自動化流程。

這是什麼?

  • Tool calling(也稱 function calling)讓 LLM 以結構化 JSON 發出請求,呼叫你暴露的外部函式 —— 搜尋、程式碼執行、資料庫查詢等。
  • 模型回傳函式名稱與參數 JSON;你的執行環境執行後,再把結果以 tool message 回傳給模型。

為什麼重要

  • 沒有 tool calling 時,Agent 往往只能靠脆弱的正規表達式去解析自由文字。
  • Tool calling 是讓 RAG、ReAct 迴圈與多步助手在生產環境可靠運行的關鍵。

1008 個模型支援此能力

模型廠商輸入 / 1M輸出 / 1M上下文服務商
Voxtral Small 24B 2507Mistral$0.002$0.00232K4
Ling-2.6-flashopenrouter$0.010$0.030262K1
Llama-3.1-8B-InstructMeta$0.020$0.030131K18
Mistral Nemo Instruct 2407Mistral$0.020$0.030131K7
Meta Llama 3.1 8B Instruct TurboMeta$0.020$0.030128K1
Ministral 3Bazure-cognitive-services$0.040$0.040128K1
Ministral 3Bazure$0.040$0.040128K1
Ministral 3B (latest)Mistral$0.040$0.040128K1
Ling-3.0-flashopenrouter$0.021$0.063262K1
L3 8B Stheno V3.2novita-ai$0.050$0.0508K1
Qwen3.5 4BAlibaba (Qwen)$0.040$0.07033K3
Gemma 3 4B ITGoogle$0.040$0.080128K5
Gemma 4 E4B ITGoogle$0.020$0.100131K3
Sarvam 30Bfastrouter$0.020$0.100128K1
Nex N2 Mininano-gpt$0.025$0.100262K1
Nex-N2-Miniopenrouter$0.025$0.100262K1
Nex AGI: Nex-N2-Minikilo$0.025$0.100262K1
Granite 4.0 H Microcloudflare-workers-ai$0.017$0.112131K1
Granite 4.0 H Microcloudflare-ai-gateway$0.017$0.112131K1
Llama 3.1 8BMeta$0.050$0.080131K2
amazon--nova-microsap-ai-core$0.030$0.100128K1
Sarvam 30Bnano-gpt$0.028$0.11166K1
Model Routerazure-cognitive-services$0.140Unknown200K1
Model Routerazure$0.140Unknown200K1
Qwen3.7 FlashAlibaba (Qwen)$0.030$0.1181M9
Granite 4.1 8Bnano-gpt$0.050$0.100131K1
Granite 4.1 8Bopenrouter$0.050$0.100131K1
IBM: Granite 4.1 8Bkilo$0.050$0.100131K1
Mellum2 12B A2.5Bwandb$0.050$0.100131K1
Granite 4.1 8Bwandb$0.050$0.100131K1
gpt-oss-20bOpenAI$0.030$0.130128K32
DeepSeek R1 Distill Llama 70BMeta$0.030$0.13033K3
GPT OSS 120Bllmgateway$0.032$0.140131K1
Nova Micro 1.0openrouter$0.035$0.140128K1
Nova Microamazon-bedrock$0.035$0.140128K1
Nova Microvercel$0.035$0.140128K1
Amazon: Nova Micro 1.0kilo$0.035$0.140128K1
Laguna XS 2.1openrouter$0.060$0.120262K1
Command R7BCohere$0.037$0.150128K5
Command R7B ArabicCohere$0.037$0.150128K1
Qwen3.5 9BAlibaba (Qwen)$0.040$0.150262K22
GPT OSS 20Bllmgateway$0.040$0.150131K1
Trinity Miniclarifai$0.045$0.150131K1
nova-micro-v1cortecs$0.040$0.159128K1
gpt-oss-120bOpenAI$0.030$0.170128K49
Ministral 3 3B 2512Mistral$0.100$0.100131K3
GPT OSS 120Bsynthetic$0.100$0.100131K1
Reka Edgeopenrouter$0.100$0.10016K1
Sarvam 105Bfastrouter$0.040$0.160131K1
Ministral 8B (latest)Mistral$0.100$0.100128K1
Reka Edgekilo$0.100$0.10016K1
GPT OSS 20Bcortecs$0.045$0.167131K1
Mistral-7B-Instruct-v0.3Mistral$0.110$0.11066K5
Sarvam 105Bnano-gpt$0.045$0.177131K1
ministral-3b-2512cortecs$0.111$0.111256K1
Qwen Doc TurboAlibaba (Qwen)$0.087$0.144131K1
DeepSeek V4 Flash LatestDeepSeek$0.080$0.1591.05M3
Google Gemma 3 27B InstructGoogle$0.080$0.160203K11
Ling 3.0 Flashvercel$0.060$0.180256K1
InclusionAI Ling 3.0 Flashllmgateway$0.060$0.180262K1

顯示前 60 項,共 1008 項。 完整目錄 進一步篩選。

Frequently asked questions

How many AI models support 工具呼叫?

1008 canonical models in our database currently support 工具呼叫. 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 工具呼叫?

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 工具呼叫 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 工具呼叫.

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 (75), Kimi K2.6 (64), DeepSeek V4 Pro (55).

How is 工具呼叫 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.

最近更新:

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.