Inteligencia de modelos de IA

Capacidad · 2026-11-12

Modelos de IA con soporte de Tool calling

Comparativa de modelos que soportan tool calling / function calling para agentes y flujos automatizados.

¿Qué es esto?

  • Tool calling (también llamado function calling) permite al LLM emitir una solicitud JSON estructurada para invocar funciones externas — búsqueda, ejecución de código, consultas a bases de datos, etc.
  • El modelo devuelve nombre de función y argumentos en JSON; tu runtime los ejecuta y devuelve el resultado como tool message.

Por qué importa

  • Sin tool calling, los agentes dependen de parsear texto libre con expresiones regulares frágiles.
  • Tool calling es la clave para que RAG, bucles ReAct y asistentes multietapa funcionen de forma fiable en producción.

1475 modelos con esta capacidad

ModeloEditorEntrada / 1MSalida / 1MContextoProveedores
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 los 60 primeros de 1475. Usa el directorio completo para filtrar más.

Frequently asked questions

How many AI models support llamada a herramientas?

1475 canonical models in our database currently support llamada a herramientas. 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 llamada a herramientas?

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 llamada a herramientas 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 llamada a herramientas.

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 llamada a herramientas 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 actualización:

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.