> ## Documentation Index
> Fetch the complete documentation index at: https://api-docs.upmore.net/llms.txt
> Use this file to discover all available pages before exploring further.

# MiniMax M-series

> MiniMax M-series chat models (M2 – M3), OpenAI-compatible.

The MiniMax M-series text models are available through Upmore via the standard Chat Completions API (`/v1/chat/completions`). All models in the series share the same request and response format — switch between them by changing the `model` parameter.

## Available models

| Model                    | Notes                      |
| ------------------------ | -------------------------- |
| `MiniMax-M3`             | Latest generation          |
| `MiniMax-M2.7`           |                            |
| `MiniMax-M2.7-highspeed` | High-speed variant of M2.7 |
| `MiniMax-M2.5`           |                            |
| `MiniMax-M2.5-highspeed` | High-speed variant of M2.5 |
| `MiniMax-M2.1`           |                            |
| `MiniMax-M2.1-highspeed` | High-speed variant of M2.1 |
| `MiniMax-M2`             |                            |

<Note>
  The `-highspeed` variants accept the same parameters and return the same response format as their standard counterparts. They run on faster inference infrastructure and are billed at a higher rate — pick them when latency matters more than cost.
</Note>

## Key capabilities

* **Chat Completions API** — Standard `/v1/chat/completions` endpoint with `messages`
* **Reasoning** — Thinks before answering; the chain-of-thought is returned in `reasoning_content` alongside the reply (budget `max_tokens` accordingly)
* **Anthropic-compatible** — Also callable via `/v1/messages` in Claude message format
* **Streaming** — Supports real-time token streaming via SSE
* **Tool use** — Supports function calling and tool use

## Quick example

<CodeGroup>
  ```bash cURL theme={null}
  curl https://api.upmore.net/v1/chat/completions \
    -H "Authorization: Bearer YOUR_API_KEY" \
    -H "Content-Type: application/json" \
    -d '{
      "model": "MiniMax-M3",
      "messages": [
        { "role": "user", "content": "Explain quantum entanglement in simple terms." }
      ]
    }'
  ```

  ```python Python theme={null}
  from openai import OpenAI

  client = OpenAI(
      api_key="YOUR_API_KEY",
      base_url="https://api.upmore.net/v1"
  )

  response = client.chat.completions.create(
      model="MiniMax-M3",
      messages=[
          {"role": "user", "content": "Explain quantum entanglement in simple terms."}
      ]
  )

  print(response.choices[0].message.content)
  ```

  ```python Streaming theme={null}
  from openai import OpenAI

  client = OpenAI(
      api_key="YOUR_API_KEY",
      base_url="https://api.upmore.net/v1"
  )

  stream = client.chat.completions.create(
      model="MiniMax-M2.7-highspeed",
      messages=[
          {"role": "user", "content": "Write a short poem about the sea."}
      ],
      stream=True
  )

  for chunk in stream:
      if chunk.choices and chunk.choices[0].delta.content:
          print(chunk.choices[0].delta.content, end="")
  ```
</CodeGroup>

## Parameters

| Parameter     | Type           | Required | Description                               |
| ------------- | -------------- | -------- | ----------------------------------------- |
| `model`       | string         | Yes      | One of the model IDs from the table above |
| `messages`    | array          | Yes      | List of `{ role, content }` objects       |
| `stream`      | boolean        | No       | Enable SSE streaming. Default: `false`    |
| `temperature` | float          | No       | Controls randomness. Default: `1`         |
| `top_p`       | float          | No       | Nucleus sampling threshold. Default: `1`  |
| `max_tokens`  | integer        | No       | Maximum output tokens to generate         |
| `stop`        | string / array | No       | Sequences that stop generation            |
| `tools`       | array          | No       | List of tools the model may call          |

<Card title="API Reference" icon="code" href="/api-reference/model-api/minimax/m-series">
  View the interactive API playground.
</Card>