MiniMax · Text
Hermes Agent x MiniMax
MiniMax M-series text models are sparse MoE LLMs with 200K–1M context, delivering frontier coding scores at a fraction of the cost of dense models. Through RunAPI they share a single API key with pay-as-you-go token billing, callable from the OpenAI Chat Completions, OpenAI Responses, and Anthropic Messages surfaces. These are MiniMax's text models, distinct from MiniMax Hailuo video generation.
Public versions and endpoints
| Model ID | Version | Endpoints | Starting price | Catalog |
|---|---|---|---|---|
MiniMax-M2 | 230B / 10B active; 200K context; baseline M-series coding model | /v1/chat/completions | $0.0002 | Model detail |
MiniMax-M2.1 | 200K context; polyglot programming; 74% SWE-bench Verified | /v1/chat/completions | $0.0002 | Model detail |
MiniMax-M2.5 | 200K context; stronger agentic tool calling and search | /v1/chat/completions | $0.0002 | Model detail |
MiniMax-M2.5-highspeed | M2.5 at ~100 tokens/sec; same weights, higher throughput | /v1/chat/completions | $0.0004 | Model detail |
MiniMax-M2.7 | 200K context; 56.2% SWE-bench Pro; self-evolving training | /v1/chat/completions | $0.0002 | Model detail |
MiniMax-M2.7-highspeed | M2.7 at ~100 tokens/sec; same weights, higher throughput | /v1/chat/completions | $0.0004 | Model detail |
MiniMax-M3 | 1M context; 80.5% SWE-bench Verified; frontier open-weight coding + long context | /v1/chat/completions | $0.0002 | Model detail |
Configuration
Guide endpoint: <endpoint>
Select <model-id> to generate a request with the endpoint's public input contract.Verify
Select <model-id> to generate verification commands.How it works
- 1. Choose a model ID
Select a public catalog model ID and review its endpoint and current starting price.
- 2. Configure RunAPI
Add the provider configuration for this agent.
- 3. Verify the result
Run the agent status and model-selection commands shown below.
FAQ
Which model ID should I use?
Choose a public model ID from the version table. Each ID exposes the endpoints shown for that version.
Does this guide configure a chat model?
Yes. This Model Line supports a client-facing LLM protocol.