Inteligencia de modelos de IA

Capacidad · 2026-08-13

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.

981 modelos con esta capacidad

ModeloEditorEntrada / 1MSalida / 1MContextoProveedores
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
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$0.130128K28
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$0.150128K4
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$0.170128K43
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
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
Ling-3.0-flashkilo$0.060$0.180262K1
Qwen3 30B A3B Instruct 2507Alibaba (Qwen)$0.048$0.193262K12

Mostrando los 60 primeros de 981. Usa el directorio completo para filtrar más.

Frequently asked questions

How many AI models support llamada a herramientas?

981 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?

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 llamada a herramientas 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 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-5.2 (74), Kimi K2.6 (62), DeepSeek V4 Pro (55).

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.