Open MiniMax flagship for coding agents, office automation, and complex environments
https://api.llm7.io/v1 minimax-m2.7 | Benchmark | Score | Metric | Date |
|---|---|---|---|
| SWE-Bench Verified | 79.9 | resolved | 2026-06-01 |
| SWE-Bench Pro | 56.2 | resolve rate | 2026-06-01 |
| Terminal-Bench | 51.1 | success rate | 2026-06-01 |
minimax-m2.7 is listed for chat workloads and supports a 180K context window.
Check LLM7.io's current endpoint status before integrating this listing. Use the alternatives table if the provider listing is unavailable.
We found 2 provider listings for minimax-m2-7. Check model ID, quota, pricing, and API format before switching providers.
| Provider | Model listing | Access | Context | API | Limits |
|---|---|---|---|---|---|
| | minimax-m2.7 | Check provider | 180K | OpenAI-style | 60 RPM, 250 req/hr (free token) |
| | MiniMax-M2.7 | Free tier | 205K | Native | Varies |
| Model | Provider | Context | Access |
|---|---|---|---|
| MiniMax-M2.7 | OpenCode Zen | 205K | Free tier |
| gpt-oss:20b | LLM7.io | 128K | Check provider |
| mistral-Nemo-Instruct-2407 | LLM7.io | 128K | Free tier |
| nemotron-3-nano:30b | LLM7.io | 1.0M | Check provider |
| codestral-latest | LLM7.io | 32K | Free tier |
minimax-m2.7 is tagged for chat in this catalog and works with OpenAI-compatible client libraries.
minimax-m2.7 appears in the free model catalog for LLM7.io, but its current endpoint availability should be confirmed with the provider before use.
The model ID shown in this catalog is minimax-m2.7.
The listed free tier limit is 60 RPM, 250 req/hr (free token). Limits can change per account tier, so confirm against the provider dashboard.
The listed context window is 180K tokens with up to 131K output tokens.
minimax-m2.7 — free model from LLM7.io.
For API keys, setup steps, and provider-level limits, see the LLM7.io provider page.