AI 模型情報

能力 · 2026-05-12

AI Models with Tool Calling Support

Compare AI models that support tool calling / function calling for agents and automation.

這是什麼?

  • Tool calling (also called function calling) lets an LLM emit a structured JSON request to invoke an external function — search, code execution, database queries, anything you expose.
  • The model returns the function name and arguments as JSON; your runtime executes it and feeds the result back as a tool message.

為什麼重要

  • Without tool calling, building agents requires brittle regex parsing of free-form text.
  • Tool calling is what makes RAG, ReAct loops and multi-step assistants reliable in production.

660 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$0.00232K3
Meta-Llama-3.1-8B-InstructMeta$0.020$0.030128K25
Llama 3.1 8B TurboMeta$0.020$0.030131K2
Mistral Nemo Instruct 2407Mistral$0.020$0.040128K8
Hermes 4 14Bchutes$0.014$0.05441K1
Ministral 3Bazure-cognitive-services$0.040$0.040128K1
Ministral 3B (latest)Mistral$0.040$0.040128K1
Llama 3.1 8B InstructMeta$0.030$0.050131K1
Ministral 3Bazure$0.040$0.040128K1
Llama-3.2-11B-Vision-InstructMeta$0.049$0.049128K8
L3 8B Stheno V3.2novita-ai$0.050$0.0508K1
Llama 3.1 8B InstantMeta$0.050$0.080131K2
Llama 3 8BMeta$0.050$0.0808K1
Gemma 3 27BGoogle$0.027$0.109131K14
Qwen2.5-Coder 32B InstructAlibaba (Qwen)$0.027$0.109131K7
Model Routerazure-cognitive-services$0.140Unknown128K1
Model Routerazure$0.140Unknown128K1
IBM: Granite 4.1 8Bkilo$0.050$0.100131K1
DeepSeek R1 Distill Llama 70BMeta$0.030$0.130131K5
GPT OSS 20BOpenAI$0.030$0.140131K23
Amazon: Nova Micro 1.0kilo$0.035$0.140128K1
Nova Microamazon-bedrock$0.035$0.140128K1
Nova Microvercel$0.035$0.140128K1
Command R7BCohere$0.037$0.150128K2
Command R7B ArabicCohere$0.037$0.150128K1
Gemini 1.5 Flash-8BGoogle$0.037$0.1501M1
Arcee AI: Trinity Minikilo$0.045$0.150131K1
Trinity Miniclarifai$0.045$0.150131K1
GPT OSS 120BOpenAI$0.040$0.160131K33
Qwen3 235B A22B Instruct 2507Alibaba (Qwen)$0.100$0.100262K18
Qwen3-235B-A22B-Thinking-2507Alibaba (Qwen)$0.100$0.100262K17
Qwen3 30B A3B Instruct 2507Alibaba (Qwen)$0.100$0.100262K12
Qwen3-30B-A3BAlibaba (Qwen)$0.100$0.100128K9
Qwen3 30B A3B Thinking 2507Alibaba (Qwen)$0.100$0.100262K7
nvidia-nemotron-nano-9b-v2NVIDIA$0.040$0.160131K6
Qwen/Qwen3.5-9BAlibaba (Qwen)$0.050$0.150262K6
Qwen/Qwen3-VL-30B-A3B-ThinkingAlibaba (Qwen)$0.100$0.100262K6
Qwen/Qwen3-VL-30B-A3B-InstructAlibaba (Qwen)$0.100$0.100262K6
Qwen/Qwen3-VL-8B-InstructAlibaba (Qwen)$0.100$0.100262K5
deepseek-ai/DeepSeek-R1-Distill-Qwen-14BDeepSeek$0.100$0.100131K4
Reka Edgekilo$0.100$0.10016K1
Llama 3.1 8BMeta$0.100$0.10032K1
GPT OSS 120Bsynthetic$0.100$0.100128K1
Ministral 8B (latest)Mistral$0.100$0.100128K1
GLM-4.6V-FlashZ.AI / Zhipu$0.020$0.210128K3
Qwen Doc TurboAlibaba (Qwen)$0.087$0.144131K1
Mistral Small 3.2 24B InstructMistral$0.060$0.18096K3
Qwen TurboAlibaba (Qwen)$0.050$0.2001M6
nemotron-3-nano-30b-a3bNVIDIA$0.050$0.200131K6
GPT OSS 20Bfireworks-ai$0.050$0.200131K1
GPT OSS 20Bdatabricks$0.050$0.200131K1
GPT OSS Safeguard 20BOpenAI$0.070$0.200128K6
Qwen/Qwen2.5-VL-32B-InstructAlibaba (Qwen)$0.050$0.220131K6
GPT OSS 20Bfrogbot$0.070$0.200131K1
Llama-3.3-70B-InstructMeta$0.050$0.230128K22
Qwen 2.5 72B InstructAlibaba (Qwen)$0.062$0.23132K3
Mistral NemoMistral$0.150$0.150128K8
Llama 3.3 Nemotron Super 49B v1.5NVIDIA$0.050$0.250131K3
Llama 3.3 Nemotron Super 49B v1NVIDIA$0.150$0.150131K2
Pixtral 12BMistral$0.150$0.150128K2

顯示前 60 項,共 660 項。 完整目錄 進一步篩選。

Frequently asked questions

How many AI models support 工具呼叫?

660 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 model releases from models.dev.

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 K2.5 (45), MiniMax-M2.5 (40), GLM-5 (38).

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 pulls models.dev 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.

Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.