# MiniMax M3 API Pricing

As of October 10, 2026, MiniMax M3 costs $0.30 per 1M input tokens and $1.20 per 1M output tokens on MiniMax, with cache reads at $0.06 per 1M tokens. Across 9 providers on LiteLLM, the input price ranges from $0.23 to $0.30. It has a 1,000,000-token context window and returns up to 128,000 tokens per response.

- Page: https://models.litellm.ai/models/minimax-m3
- Lab: MiniMax
- LiteLLM model name: `minimax/MiniMax-M3`
- Context window: 1,000,000 tokens
- Max output: 128,000 tokens
- Added to LiteLLM: June 2026
- Prices updated: October 10, 2026

## Pricing by provider

Token prices in USD per 1M tokens.

| Provider | Model name | Input | Output | Cache read | Per image | Per second | Context |
|---|---|---|---|---|---|---|---|
| MiniMax | `minimax/MiniMax-M3` | $0.30 | $1.20 | $0.06 | – | – | 1M |
| AIHubMix | `aihubmix/minimax-m3` | $0.288 | $1.152 | – | – | – | 1M |
| DeepInfra | `deepinfra/MiniMaxAI/MiniMax-M3` | $0.28 | $1.10 | $0.056 | – | – | 512K |
| Fireworks AI | `fireworks_ai/accounts/fireworks/models/minimax-m3` | $0.30 | $1.20 | $0.06 | – | – | 512K |
| Fireworks AI | `fireworks_ai/minimax-m3` | $0.30 | $1.20 | $0.06 | – | – | 512K |
| Nebius AI Studio | `nebius/MiniMaxAI/MiniMax-M3` | $0.30 | $1.20 | – | – | – | 1M |
| Novita AI | `novita/minimax/minimax-m3` | $0.30 | $1.20 | $0.06 | – | – | 1M |
| Tencent TokenHub | `tencent/minimax-m3` | $0.30 | $1.20 | $0.06 | – | – | 1M |
| Together AI | `together_ai/MiniMaxAI/MiniMax-M3` | $0.30 | $1.20 | $0.06 | – | – | 512K |
| Weights & Biases | `wandb/MiniMaxAI/MiniMax-M3` | $0.23 | $0.96 | $0.05 | – | – | 262K |

## Cost examples

1,000 requests with 2,000 input and 500 output tokens each:

- MiniMax: $1.20
- Weights & Biases: $0.94
- DeepInfra: $1.11
- AIHubMix: $1.152

100 long-document requests with 100,000 input and 2,000 output tokens each:

- MiniMax: $3.24
- Weights & Biases: $2.492
- DeepInfra: $3.02
- AIHubMix: $3.11

## Features

Supported: Function calling, Parallel tool calls, Structured output, Image input, Reasoning, Prompt caching.

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="minimax/MiniMax-M3",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## FAQ

### How much does MiniMax M3 cost?

MiniMax M3 costs $0.30 per 1M input tokens and $1.20 per 1M output tokens on MiniMax, with cache reads at $0.06 per 1M tokens. Above 512K input tokens, input costs $0.60 and output costs $2.40 per 1M tokens. Across 9 providers on LiteLLM, the input price ranges from $0.23 to $0.30.

### What is the context window of MiniMax M3?

MiniMax M3 has a 1,000,000-token context window and returns up to 128,000 tokens per response.

### Which providers offer MiniMax M3?

MiniMax M3 is available from 9 providers through LiteLLM: MiniMax, AIHubMix, DeepInfra, Fireworks AI, Nebius AI Studio, Novita AI, Tencent TokenHub, Together AI and Weights & Biases. The lowest price is on Weights & Biases.

### How do I call MiniMax M3 with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="minimax/MiniMax-M3", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/chat/completions from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.

### What features does MiniMax M3 support?

MiniMax M3 supports function calling, parallel tool calls, structured output, image input, reasoning and prompt caching.

### When did LiteLLM add MiniMax M3?

MiniMax M3 was added to LiteLLM's model price file in June 2026.

Source: LiteLLM model price file, https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json