MiniMax M1
by MiniMaxChat
MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing efficient long-context processing.
- Context
- 1M tokens
- Max output
- 40,000 tokens
- Released
- 2025-06-17
- Weights
- Closed
minimax/minimax-m1
Specifications
Full facts as recorded, incl. what is unknown.
- Released
- 2025-06-17
- Weights
- Closed
- Input
- Text
- Output
- Text
- Context window
- 1,000,000 max across endpoints
- Max output
- 40,000
- Providers
- 2 + 5 gateways, not counted as providers
- Epoch Capabilities Index
- not evaluated
- Direct price range
- $0.40–$0.55 in · $2.20 out per 1M tokens · across all 2 providers
More details
- Last updated
- 2025-08-05
- Knowledge cutoff
- 2024-06-30
Capabilities
Across all endpoints: supported if any endpoint supports it.
- Tool calling
- Parallel toolsunknown
- Structured output
- Reasoning
- Image input
- PDF input
- Audio input
- Audio outputunknown
- Video input
- Prompt cachingunknown
- Web searchunknown
- Computer useunknown
- System messagesunknown
- Assistant prefillunknown
- Temperature
- Streamingunknown
- Attachments
Endpoints
One row per provider and variant; gateways are listed separately.
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Price history
No change since 19 Oct 2026. The cheapest direct price has been $0.40 in / $2.20 out per 1M tokens at MiniMax (minimax.io) on every data refresh since then.
Tracked from 19 Oct 2026. Headline-eligible direct prices only, so a price the sanity check flags never draws a spike. Series as JSON
Cost calculator
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Similarly priced models
Blended rate per 1M tokens, each at its own cheapest provider (10M input : 2M output mix).
| Model | Blended/1M | In/1M | Out/1M | Context | vs MiniMax M1 |
|---|---|---|---|---|---|
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