# MiniMax: MiniMax-M2.7-highspeed

- Model ID: `MiniMax-M2.7-highspeed`
- Provider: MiniMax
- Web version: https://www.moleapi.com/en/models/minimax/minimax-m2.7
- Content status: alias

## Model introduction

MiniMax M2.7 is a mature M2-series model for reasoning, coding, and agents, with a high-speed serving variant.

## Model capabilities

- OpenAI compatible
- Responses API
- Anthropic compatible
- Gemini compatible
- Prompt cache
- Reasoning

### Verified specifications

- Official positioning: Reasoning, coding, and agent model
- Input / output: Text / Text
- Serving variants: Standard and highspeed

## Model pricing and access

Pricing is supplied dynamically by the MoleAPI console API.

### Standard (default, x1)

- Input: $0.306 / 1M tokens
- Output: $1.224 / 1M tokens
- Cache read: $0.06 / 1M tokens

### Discount (discount, x0.8)

- Input: $0.2448 / 1M tokens
- Output: $0.9792 / 1M tokens
- Cache read: $0.048 / 1M tokens

### Relay (relay, x0.3)

- Input: $0.0918 / 1M tokens
- Output: $0.3672 / 1M tokens
- Cache read: $0.018 / 1M tokens

### Access protocols

| Protocol | Method | Endpoint |
| --- | --- | --- |
| openai | POST | /v1/chat/completions |
| openai-response | POST | /v1/responses |
| anthropic | POST | /v1/messages |
| gemini | POST | /v1beta/models/{model}:generateContent |

- Live pricing source: https://home.moleapi.com/api/pricing

## About MiniMax-M2.7-highspeed

MiniMax M2.7 is a mature M2-series model for reasoning, coding, and agents, with a high-speed serving variant.

### Best for

General coding assistance, business analysis, tools, and production applications pinned to M2-series behavior.

### Core strengths

- Covers reasoning, coding, and agentic tool tasks.
- The high-speed variant suits latency-sensitive workflows.
- Mature behavior helps preserve existing prompts and evaluation baselines.

### Limitations

- MiniMax M3 is the newer choice for million-token context and office agents.
- Latency and availability vary by serving profile and platform.

### Selection and production evaluation

Start a MiniMax-M2.7-highspeed evaluation by mapping its official positioning to real work: General coding assistance, business analysis, tools, and production applications pinned to M2-series behavior. The first pass should exercise both its main strength, "Covers reasoning, coding, and agentic tool tasks.", and its known limitation, "MiniMax M3 is the newer choice for million-token context and office agents.", instead of relying on a single subjective general-chat comparison.

For access, MoleAPI currently lists openai, openai-response, anthropic, gemini protocols and the Standard, Discount, Relay billing groups for this MiniMax model; the default price summary is Input $0.306 / 1M tokens · Output $1.224 / 1M tokens. Pricing, protocols, and groups come from the live catalog, so production planning should still price representative requests using real context length, output size, and cache-hit assumptions.

No independent ranking is shown unless it matches this exact model ID and reasoning profile, so nearby variants are not used as a proxy. Before launch, pin the model ID, prompt, and sample set, then compare task accuracy, structured-output validity, tool-call success, and timeout rates under the same conditions.

The model material on this page was last checked on 2026-07-24. When upstream model cards, context limits, or tool support change, update the cited bilingual facts before changing the recommendation; live MoleAPI price changes remain separate and update from the catalog automatically.

### Sources

- [B.AI MiniMax M2.7 model guide](https://docs.b.ai/llmservice/models/minimax-m2.7/) — B.AI
- [MiniMax official news](https://www.minimax.io/news) — MiniMax
- Last verified: 2026-07-24

## Code examples

### cURL

```bash
curl https://api.moleapi.com/v1/responses \
  -H "Authorization: Bearer $MOLEAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"MiniMax-M2.7-highspeed","input":"Explain this problem step by step."}'
```

### Python

```python
from openai import OpenAI

client = OpenAI(base_url="https://api.moleapi.com/v1", api_key="YOUR_MOLEAPI_API_KEY")
response = client.responses.create(model="MiniMax-M2.7-highspeed", input="Explain this problem step by step.")
print(response.output_text)
```

### TypeScript

```typescript
import OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://api.moleapi.com/v1", apiKey: process.env.MOLEAPI_API_KEY });
const response = await client.responses.create({ model: "MiniMax-M2.7-highspeed", input: "Explain this problem step by step." });
console.log(response.output_text);
```

## More related models

- [minimax-m3](https://www.moleapi.com/en/models/minimax/minimax-m3) — MiniMax
- [minimaxai/minimax-m3](https://www.moleapi.com/en/models/minimax/minimaxai-minimax-m3) — MiniMax
- [MiniMax-M3](https://www.moleapi.com/en/models/minimax/minimax-m3-alias-1) — MiniMax
- [gpt-5.6-luna](https://www.moleapi.com/en/models/openai/gpt-5.6-luna) — OpenAI
- [gpt-5.6-sol](https://www.moleapi.com/en/models/openai/gpt-5.6-sol) — OpenAI
- [gpt-5.6-terra](https://www.moleapi.com/en/models/openai/gpt-5.6-terra) — OpenAI

## Frequently asked questions

### How is MiniMax-M2.7-highspeed priced?

Prices are read from the MoleAPI console API and update with model prices, context tiers, and account groups.

### How can I access MiniMax-M2.7-highspeed?

The catalog currently lists openai, openai-response, anthropic, gemini.

### How do I switch an existing project to MiniMax-M2.7-highspeed?

Keep the MoleAPI API address and key, replace the model parameter, and check protocol-specific parameters.

### Where do the MiniMax-M2.7-highspeed details come from?

Capabilities and limitations are checked against B.AI and the other cited pages; pricing and protocols come from the MoleAPI console.