Model Reference

This page lists recommended models for AgentUse, organized by provider.

Note: Other models from these providers may also work. These are the ones we recommend and test against.

Auto-generated: Run pnpm generate:models to update.

Quick Reference

Default models:

Anthropic: anthropic:claude-sonnet-5 (balanced performance)
OpenAI: openai:gpt-5.5 (latest GPT)
OpenRouter: openrouter:z-ai/glm-5.2 (open source)
Amazon Bedrock: bedrock:us.anthropic.claude-sonnet-4-5-20250929-v1:0

Recommended Models

Anthropic

Model ID	Name	Input Context	Output	Capabilities
`anthropic:claude-fable-5`	Claude Fable 5	1,000,000	128,000	Reasoning, Vision, Tools
`anthropic:claude-sonnet-5`	Claude Sonnet 5	1,000,000	128,000	Reasoning, Vision, Tools
`anthropic:claude-opus-4-8`	Claude Opus 4.8	1,000,000	128,000	Reasoning, Vision, Tools
`anthropic:claude-haiku-4-5`	Claude Haiku 4.5 (latest)	200,000	64,000	Reasoning, Vision, Tools

OpenAI

Model ID	Name	Input Context	Output	Capabilities
`openai:gpt-5.5`	GPT-5.5	922,000	128,000	Reasoning, Vision, Tools
`openai:gpt-5.5-pro`	GPT-5.5 Pro	922,000	128,000	Reasoning, Vision, Tools
`openai:gpt-5.4-nano`	GPT-5.4 nano	272,000	128,000	Reasoning, Vision, Tools
`openai:gpt-5.4-mini`	GPT-5.4 mini	272,000	128,000	Reasoning, Vision, Tools
`openai:gpt-5.3-codex`	GPT-5.3 Codex	272,000	128,000	Reasoning, Vision, Tools
`openai:gpt-5.3-codex-spark`	GPT-5.3 Codex Spark	100,000	32,000	Reasoning, Vision, Tools
`openai:gpt-5.3-chat-latest`	GPT-5.3 Chat (latest)	128,000	16,384	Vision, Tools
`openai:gpt-5.1-codex-max`	GPT-5.1 Codex Max	272,000	128,000	Reasoning, Vision, Tools
`openai:gpt-5.1-codex-mini`	GPT-5.1 Codex mini	272,000	128,000	Reasoning, Vision, Tools

OpenRouter

Model ID	Name	Input Context	Output	Capabilities
`openrouter:z-ai/glm-5.2`	GLM-5.2	1,048,576	32,768	Reasoning, Tools
`openrouter:z-ai/glm-5v-turbo`	GLM-5V-Turbo	202,752	131,072	Reasoning, Vision, Tools
`openrouter:x-ai/grok-4.3`	Grok 4.3	1,000,000	1,000,000	Reasoning, Vision, Tools
`openrouter:deepseek/deepseek-v4-pro`	DeepSeek V4 Pro	1,048,576	384,000	Reasoning, Tools
`openrouter:deepseek/deepseek-v4-flash`	DeepSeek V4 Flash	1,000,000	65,536	Reasoning, Tools
`openrouter:qwen/qwen3.7-max`	Qwen3.7 Max	1,000,000	65,536	Reasoning, Tools
`openrouter:qwen/qwen3.7-plus`	Qwen3.7 Plus	1,000,000	65,536	Reasoning, Vision, Tools
`openrouter:google/gemini-3.5-flash`	Gemini 3.5 Flash	1,048,576	65,536	Reasoning, Vision, Tools
`openrouter:google/gemini-3.1-pro-preview`	Gemini 3.1 Pro Preview	1,048,576	65,536	Reasoning, Vision, Tools
`openrouter:minimax/minimax-m3`	MiniMax-M3	524,288	512,000	Reasoning, Vision, Tools
`openrouter:google/gemini-3-flash-preview`	Gemini 3 Flash Preview	1,048,576	65,535	Reasoning, Vision, Tools
`openrouter:moonshotai/kimi-k2.6`	Kimi K2.6	262,144	262,144	Reasoning, Vision, Tools

Amazon Bedrock

Bedrock model IDs are passed through unchanged and are not validated against the static registry. Use any model ID supported by your AWS account and region.

Model ID (example)	Notes
`bedrock:us.anthropic.claude-sonnet-4-5-20250929-v1:0`	Claude Sonnet 4.5 (US cross-region inference profile)
`bedrock:anthropic.claude-3-5-sonnet-20241022-v2:0`	Claude 3.5 Sonnet v2
`bedrock:anthropic.claude-3-haiku-20240307-v1:0`	Claude 3 Haiku
`bedrock:meta.llama3-70b-instruct-v1:0`	Llama 3 70B Instruct
`bedrock:mistral.mistral-large-2402-v1:0`	Mistral Large
`bedrock:us.amazon.nova-pro-v1:0`	Amazon Nova Pro

See the Amazon Bedrock model catalog for the full list. Model availability depends on the AWS region and on the model access granted in your account. Authentication uses standard AWS environment variables (AWS_ACCESS_KEY_ID / AWS_SECRET_ACCESS_KEY / AWS_REGION, optional AWS_SESSION_TOKEN) or AWS_BEARER_TOKEN_BEDROCK. See the Model Configuration guide for details.

Custom Providers (Local LLMs)

In addition to the built-in providers above, you can connect any OpenAI-compatible endpoint as a custom provider:

# Add Ollama
agentuse provider add ollama --url http://localhost:11434/v1

# Add LM Studio
agentuse provider add lmstudio --url http://localhost:1234/v1

Then use any model available on those endpoints:

agentuse run agent.agentuse -m ollama:glm-5-flash:q4_K_M
agentuse run agent.agentuse -m ollama:qwen3.5:0.8b
agentuse run agent.agentuse -m lmstudio:qwen/qwen3.5-9b

See Model Configuration for full setup details.

Usage

Specify a model in your agent file:

---
model: anthropic:claude-sonnet-5
---

Or override via CLI:

agentuse run agent.agentuse -m openai:gpt-5.5
agentuse run agent.agentuse -m ollama:glm-5-flash:q4_K_M

Getting Started

Building

Running

Reference

Model Reference

Model Reference

Quick Reference

Recommended Models

Anthropic

OpenAI

OpenRouter

Amazon Bedrock

Custom Providers (Local LLMs)

Usage

​Model Reference

​Quick Reference

​Recommended Models

​Anthropic

​OpenAI

​OpenRouter

​Amazon Bedrock

​Custom Providers (Local LLMs)

​Usage

Model Reference

Quick Reference

Recommended Models

Anthropic

OpenAI

OpenRouter

Amazon Bedrock

Custom Providers (Local LLMs)

Usage