Should you use MiniMax-M2.7?
MiniMax-M2.7 is listed for chat workloads and supports a 205K context window.
Use it when LLM7.io's free tier is enough for evaluation, demos, or light production traffic.
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 205K context window.
Use it when LLM7.io's free tier is enough for evaluation, demos, or light production traffic.
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 | Free tier | 205K | Native | Varies |
| | MiniMax-M2.7 | Free tier | 128K | Native | 20 RPM, 20 RPD, 200K TPD |
| Model | Provider | Context | Access |
|---|---|---|---|
| MiniMax-M2.7 | SambaNova | 128K | Free tier |
| deepseek-r1-0528 | LLM7.io | 131K | Check provider |
| deepseek-v3-0324 | LLM7.io | 131K | Check provider |
| gpt-4o-mini | LLM7.io | 131K | Check provider |
| mistral-small-3.1-24b | LLM7.io | 32K | Check provider |
MiniMax-M2.7 is tagged for chat in this catalog and works with OpenAI-compatible client libraries.
MiniMax-M2.7 is listed with free API access on LLM7.io, subject to the provider's quota and account policy.
The model ID shown in this catalog is minimax-m2.7.
The listed context window is 205K tokens with up to 131K output tokens.
Free MiniMax-M2.7 API.
For API keys, setup steps, and provider-level limits, see the LLM7.io provider page.