Inteligência em modelos de IA

Capacidade · 2026-11-12

Modelos de IA com suporte a Tool calling

Comparativo de modelos que suportam tool calling / function calling para agentes e fluxos automatizados.

O que é?

  • Tool calling (também chamado function calling) permite ao LLM emitir uma requisição JSON estruturada para invocar funções externas — busca, execução de código, consultas a banco de dados, etc.
  • O modelo retorna nome da função e argumentos em JSON; seu runtime executa e devolve o resultado como tool message.

Por que importa

  • Sem tool calling, agentes dependem de parsear texto livre com expressões regulares frágeis.
  • Tool calling é a chave para RAG, loops ReAct e assistentes multietapa funcionarem de forma confiável em produção.

1475 modelos com esta capacidade

ModeloFornecedorEntrada / 1MSaída / 1MContextoProvedores
Qwen3.8 27BAlibaba (Qwen)$0.001$0.0011.05M51
Ambient Smallambient$0.001$0.001101K1
Gemma 4 26B A4B ITGoogle$0.010$0.031262K23
Llama-3.1-8B-InstructMeta$0.020$0.030131K14
Meta Llama 3.1 8B Instruct TurboMeta$0.020$0.030128K1
Mistral NemoMistral$0.029$0.030131K6
inclusionAI: Ling 3.0 Tinykilo$0.015$0.045262K1
Ling 3.0 Tinynano-gpt$0.015$0.045262K1
Ling 3.0 Tiny Thinkingnano-gpt$0.015$0.045262K1
Ling 3.0 Tinyopenrouter$0.015$0.045262K1
Ministral 3Bazure-cognitive-services$0.040$0.040128K1
Ministral 3Bazure$0.040$0.040128K1
Ling 3.0 Flashvercel$0.021$0.063256K1
Ling 3.0 Flashopenrouter$0.021$0.063262K1
Qwen3.5 9BAlibaba (Qwen)$0.040$0.060262K21
gpt-oss-20bOpenAI$0.018$0.090131K32
Qwen3.5 4BAlibaba (Qwen)$0.040$0.070262K5
GLM Flash LatestZ.AI / Zhipu$0.040$0.0781.05M4
Granite 4.0 H Microcloudflare-workers-ai$0.017$0.112131K1
Llama 3.1 8BMeta$0.050$0.080131K2
DeepSeek V4 Flash 0731DeepSeek$0.045$0.0901.05M54
Model Routerazure-cognitive-services$0.140Unknown200K1
Model Routerazure$0.140Unknown200K1
Nemotron 3.5 Lightning 30B A3BNVIDIA$0.025$0.120262K5
DeepSeek-V4.1-FlashDeepSeek$0.030$0.1201M72
DeepSeek V4.1 Flash 1017DeepSeek$0.030$0.1201.05M60
Qwen3.7 FlashAlibaba (Qwen)$0.030$0.1301M13
DeepSeek R1 Distill Llama 70BMeta$0.030$0.130128K2
Amazon: Nova Micro 1.0kilo$0.035$0.140128K1
Nova Microvercel$0.035$0.140128K1
Nova Micro (US)amazon-bedrock$0.035$0.140128K1
Nova Microamazon-bedrock$0.035$0.140128K1
Nova Micro (US)edenai$0.035$0.140128K1
Nova Microedenai$0.035$0.140128K1
Nova Micro 1.0openrouter$0.035$0.140128K1
amazon--nova-microsap-ai-core$0.035$0.140128K1
gpt-oss-120bOpenAI$0.030$0.150131K51
Ling 3.1 Flashopenrouter$0.045$0.1351M1
Nova Micro (APAC)amazon-bedrock$0.037$0.148128K1
Nova Micro 1.0aimlapi$0.037$0.148128K1
Command R7BCohere$0.037$0.150128K6
Command R7B ArabicCohere$0.037$0.150128K1
Qwen3 235B A22B Instruct 2507Alibaba (Qwen)$0.090$0.100262K22
Mercury 2.5 Previewinception$0.040$0.150260K1
GPT OSS 20Bkenari$0.036$0.154131K1
Trinity Miniclarifai$0.045$0.150131K1
Nova Micro 1.0cortecs$0.040$0.159128K1
Ministral 3 3BMistral$0.100$0.100131K8
Nemotron 3.5 Lightning 30B A3BNVIDIA$0.050$0.150262K7
nemotron-3-ultraNVIDIA$0.100$0.100262K3
Reka Edge 2603 (reka-ai)llmgateway-providers$0.100$0.10016K1
Reka Edgekilo$0.100$0.10016K1
Ministral 3B (latest)Mistral$0.100$0.100131K1
Nova Micro (EU)amazon-bedrock$0.040$0.160128K1
Reka Edge 2603llmgateway$0.100$0.10016K1
GPT OSS 120Bsynthetic$0.100$0.100131K1
Reka Edgeopenrouter$0.100$0.10016K1
Sarvam 105Bfastrouter$0.040$0.160131K1
IBM: Granite 4.2 8Bkilo$0.060$0.150131K1
Granite 4.2 8Bnano-gpt$0.060$0.150131K1

Mostrando os 60 primeiros de 1475. Use o diretório completo para filtrar mais.

Frequently asked questions

How many AI models support tool calling?

1475 canonical models in our database currently support tool calling. 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 tool calling?

Qwen3.8 27B from Alibaba (Qwen) is currently the lowest-priced option, at $0.001 per 1M input tokens and $0.001 per 1M output tokens. The full table above is sorted price-ascending.

Which model with tool calling has the largest context window?

Llama 4 Scout 17B Instruct (US) (Meta) leads on context at 10M tokens. This may matter if you also need long-document understanding alongside tool calling.

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-5.3-Flash (92), GLM-5.3 (92), GLM-5.2 (90).

How is tool calling 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.

Última atualização:

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.