Agent guide

Best AI models for agents

This page prioritizes models with tool use and structured output support because those signals matter most for automations, task routing, and production agent behavior.

Live signalTool support for calling actions and external systems

Live signalStructured output support for reliable machine-readable payloads

Live signalContext room for multi-step agent state and instructions

Live signalLive pricing for production automation budgeting

Fast answer

Start with the live shortlist, then validate the route

Agent stacks need reliable action calls and predictable output formats. Those features usually matter more than raw model popularity when you build repeatable workflows.

Data source and freshness

Catalog-backed, not a static price sheet

TVP refreshes this page from the live OpenRouter model catalog. This render used 685 public model records and was synchronized Oct 26, 2026, 7:33 AM UTC. Pricing, availability, and context values can change.

Verify the exact route before sending production traffic, then use the linked model and provider pages as the source for current values. Read the TVP data methodology.

Shortlist

Top live candidates right now

x-ai

SpaceXAI: Grok 4.20

Grok 4.20 is a reasoning model from SpaceXAI with industry-leading speed and agentic tool calling capabilities. It combines the lowest hallucination rate on the market with strict prompt adherance, delivering...

Context2,000,000

Input$1.25

Output$2.50

2,000,000 token context, tool support, and structured workflows make this a strong agent candidate.

text
image
file
tools
structured

Model details Provider page

openai

OpenAI: GPT-6 Luna (batch)

GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic...

Context1,050,000

Input$0.05

Output$0.25

1,050,000 token context, tool support, and structured workflows make this a strong agent candidate.

file
image
text
tools
structured

Model details Provider page

openai

OpenAI: GPT-6 Luna Pro (batch)

GPT-6 Luna Pro is the same underlying model as [GPT-6 Luna](TVP catalog), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...

Context1,050,000

Input$0.05

Output$0.25

1,050,000 token context, tool support, and structured workflows make this a strong agent candidate.

file
image
text
tools
structured

Model details Provider page

xiaomi

Xiaomi: MiMo-V2.5

MiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perception across image and video understanding...

Context1,050,000

Input$0.119

Output$0.238

1,050,000 token context, tool support, and structured workflows make this a strong agent candidate.

text
audio
image
video
tools
structured

Model details Provider page

xiaomi

Xiaomi: MiMo-V2.6-Flash

MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi. Built on a Mixture-of-Experts architecture with 309B total parameters and 15B activated per token, it employs a hybrid attention mechanism for...

Context1,050,000

Input$0.14

Output$0.28

1,050,000 token context, tool support, and structured workflows make this a strong agent candidate.

text
image
video
audio
tools
structured

Model details Provider page

FAQ

What buyers usually ask

Why are tools and structured output the main signals here?

Agent stacks need reliable action calls and predictable output formats. Those features usually matter more than raw model popularity when you build repeatable workflows.

Can an agent model also be a good coding model?

Yes. Many strong coding models also do well in agents because both workloads benefit from reasoning, tool use, and larger context windows.

Next step

Use the guide, then validate the route in live TVP data.

TVP keeps the shortlist connected to the current catalog, provider coverage, and token pricing so buyers can move from research to routing without starting over.

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