AI Recommendation
Should you use minimax-m2.7?
minimax-m2.7 is listed for chat workloads and supports a 180K context window.
Use it when LLM7.io's free tier is enough for evaluation, demos, or light production traffic.
minimax-m2.7 Free API on LLM7.io
Free API Verified Available from LLM7.io
Open MiniMax flagship for coding agents, office automation, and complex environments
Free APIOpenAI compatibleReasoningTool callingJSON modeTextReasoning
API Details
Copy-ready connection details
Base URL
https://api.llm7.io/v1 Model ID
minimax-m2.7 API format OpenAI Chat Completions
Technical Details
minimax-m2.7 specifications
Context window 180K
Max output 131K
Status Online
Family minimax
Released Mar 18, 2026
Last updated Sep 20, 2026
Free listing since Mar 18, 2026
Input text
Output text
Capabilities reasoning, tool calling, structured output, temperature control
Open weights Yes
Weights Hugging Face
External benchmark references
| 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 |
Best for
- Chat
Strengths & Weaknesses
Strengths
- Long context window
- Reasoning mode listed
- Tool calling support
- Structured JSON output
Watch outs
- Free-tier rate limits apply
- Vision support is not listed
Benchmark Overview
Benchmark signals for minimax-m2.7
Intelligence General reasoning and instruction following
22.8/100 Coding Programming and code generation
52.6/100 Agentic Tool use and multi-step tasks
15.3/100 Speed Observed generation speed
67 tok/s Context Maximum listed context window
180K Pricing
minimax-m2.7 pricing per 1M tokens
Input $0.3 per 1M tokens
Output $1.2 per 1M tokens
Access Available LLM7.io
Rate limit 10 RPM, 60 req/hr (anonymous) provider policy
Availability
minimax-m2.7 availability by provider
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 | 180K | OpenAI-style | 10 RPM, 60 req/hr (anonymous) |
| | MiniMax-M2.7 | Free tier | 205K | Native | Varies |
Compare
minimax-m2.7 alternatives to consider
| 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 |
| deepseek-r1-0528 | LLM7.io | 131K | Check provider |
| deepseek-v3-0324 | LLM7.io | 131K | Check provider |
Typical Use Cases
minimax-m2.7 use cases
Chat
minimax-m2.7 is tagged for chat in this catalog and works with OpenAI-compatible client libraries.
FAQ
minimax-m2.7 free API FAQ
Is minimax-m2.7 free to use?
minimax-m2.7 is listed with free API access on LLM7.io, subject to the provider's quota and account policy.
What is the minimax-m2.7 model ID?
The model ID shown in this catalog is minimax-m2.7.
What are the minimax-m2.7 free tier rate limits on LLM7.io?
The listed free tier limit is 10 RPM, 60 req/hr (anonymous). Limits can change per account tier, so confirm against the provider dashboard.
What context window does minimax-m2.7 support?
The listed context window is 180K tokens with up to 131K output tokens.
More about minimax-m2.7
minimax-m2.7 — free model from LLM7.io.
For API keys, setup steps, and provider-level limits, see the LLM7.io provider page.