Should you use MiniMax-M3?
MiniMax-M3 is listed for chat workloads and supports a 1.0M context window.
Use it when LLM7.io's free tier is enough for evaluation, demos, or light production traffic.
MiniMax multimodal model for long-context coding, perception, and agent planning
https://api.llm7.io/v1 minimax-m3 | Benchmark | Score | Metric | Date |
|---|---|---|---|
| SWE-Bench Verified | 80.5 | resolved | 2026-06-01 |
| SWE-Bench Pro | 59 | resolve rate | 2026-06-01 |
| Terminal-Bench | 66 | success rate | 2026-06-01 |
| BrowseComp | 83.52 | accuracy | 2026-06-01 |
MiniMax-M3 is listed for chat workloads and supports a 1.0M context window.
Use it when LLM7.io's free tier is enough for evaluation, demos, or light production traffic.
We only found this MiniMax-M3 listing on LLM7.io in the current catalog. Use the related models section for nearby alternatives.
| Provider | Model listing | Access | Context | API | Limits |
|---|---|---|---|---|---|
| | MiniMax-M3 | Free tier | 1.0M | Native | Varies |
| Model | Provider | Context | Access |
|---|---|---|---|
| gpt-oss:20b | LLM7.io | 128K | Check provider |
| mistral-Nemo-Instruct-2407 | LLM7.io | 128K | Free tier |
| minimax-m2.7 | LLM7.io | 180K | Free tier |
| DeepSeek-V4-Flash-0731 | LLM7.io | 400K | Free tier |
| deepseek-r1-0528 | LLM7.io | 131K | Check provider |
MiniMax-M3 is tagged for chat in this catalog and works with OpenAI-compatible client libraries.
MiniMax-M3 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-m3.
The listed context window is 1.0M tokens with up to 512K output tokens.
Free MiniMax-M3 API.
For API keys, setup steps, and provider-level limits, see the LLM7.io provider page.