# MiniMax M2.7 API

> MiniMax-M2.7 is a MiniMax M2-series language model that MiniMax describes as its first model to take part in its own development, building agent harnesses, skills and memory for reinforcement learning experiments. It is positioned for end-to-end software engineering including log analysis, bug troubleshooting and code security, high-fidelity editing in Excel, PowerPoint and Word, and character-consistent interaction. A faster highspeed variant exists, and MiniMax-M3 adds multimodality and longer context.

Source: https://www.sandbase.ai/models/minimax/minimax-m2.7
API reference: https://www.sandbase.ai/models/minimax/minimax-m2.7/docs

## Facts

- Provider: MiniMax
- Type: Language model
- Model ID: `minimax/minimax-m2.7`
- Price: $0.30 per 1M input tokens, $1.20 per 1M output tokens
- Context window: 204.8K tokens, up to 131.1K output tokens
- Capabilities: chat, reasoning, structured output, function calling
- Billing: pay per use from one SandBase balance; no provider account or subscription needed

## Call it

- Chat Completions API: `POST https://api.sandbase.ai/v1/chat/completions`

```bash
curl -X POST https://api.sandbase.ai/v1/chat/completions \
  -H "Authorization: Bearer $SANDBASE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "minimax/minimax-m2.7",
  "messages": [
    {
      "role": "user",
      "content": "Hello"
    }
  ],
  "max_tokens": 2048
}'
```

## FAQ

### How do I call MiniMax M2.7 through SandBase?

Create a SandBase API key, then send requests with the model ID "minimax/minimax-m2.7" to Chat Completions API (/v1/chat/completions) at https://api.sandbase.ai. The request examples on this page show the exact payload.

### How much does MiniMax M2.7 cost?

$0.30 per 1M input tokens and $1.20 per 1M output tokens, billed per request from your SandBase balance. Discounts, when available, are shown in the pricing on this page.

### What is the context window of MiniMax M2.7?

204.8K tokens of context, with up to 131.1K output tokens per response.

### How does MiniMax M2.7 score on benchmarks?

MiniMax M2.7 scores 22.8 on the Artificial Analysis Intelligence Index (v4.3), ranking #58 of 83 models on SandBase; Coding Index 52.6, Agentic Index 15.3. Source: Artificial Analysis, measured as MiniMax-M2.7.

### Which features does MiniMax M2.7 support?

MiniMax M2.7 supports reasoning, function calling, structured output. See Specifications above for the full list.

### Do I need a separate MiniMax account?

No. One SandBase API key and balance gives you access to MiniMax M2.7 and the other models in the catalog; you do not need to sign up with MiniMax separately.