能力 · 2026-06-29
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。
745 個模型支援此能力
顯示前 60 項，共 745 項。 用 完整目錄 進一步篩選。
Frequently asked questions
How many AI models support 工具呼叫?
745 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: Kimi K2.6 (49), Kimi K2.5 (48), GLM-5.1 (47).
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.
Explore more
Top models with this capability
- Voxtral Small 24B 2507$0.00 in / $0.00 out
- Ling-2.6-flash$0.01 in / $0.03 out
- Meta-Llama-3.1-8B-Instruct$0.02 in / $0.03 out
- Meta Llama 3.1 8B Instruct Turbo$0.02 in / $0.03 out
- Mistral Nemo$0.02 in / $0.04 out
Other capabilities
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Pricing comparisons
Vendors in this list
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.