MiniMax M1
Fast and lightToolsMiniMax · Released June 2025 · Knowledge cutoff June 2024
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 it...
It is part of MiniMax's M-series, a fast-iterating line focused on conversational quality and long context.
Facts and pricing
- Provider
- MiniMax
- Context window
- 1M tokens
- Input price
- 4.4 credits / 1M tokens ($0.40 raw)
- Output price
- 24.2 credits / 1M tokens ($2.20 raw)
- Vision (image input)
- No
- Tool calling
- Yes
- Extended reasoning
- No
Credits are what Zeplik bills: 1 credit = $0.10, computed from the raw provider rate with a 1.10x margin. Raw prices shown per 1M tokens.
Try MiniMax M1 now
What MiniMax M1 is best for
- High-volume everyday tasks where speed and cost matter: summaries, drafts, quick questions
- Very long documents and codebases: a 1M-token window fits entire books or repositories in one conversation
- Tool use and agents: reliably calls functions, so it can search, run skills and drive workflows
Example prompts
Prompts that suit a fast and light model like MiniMax M1:
- Summarize this article in five bullet points
- Rewrite this email to be shorter and friendlier
- Give me ten name ideas for a hiking newsletter
- Translate this paragraph to Spanish and keep the tone
MiniMax family
| Model | Context | Input cr/M | Output cr/M | Released |
|---|---|---|---|---|
| MiniMax M3 | 1.0M | 3.3 | 13.2 | May 2026 |
| MiniMax M2.7 | 205K | 2.6 | 10.6 | March 2026 |
| MiniMax M2.5 | 205K | 1.7 | 9.9 | February 2026 |
| MiniMax M2-her | 66K | 3.3 | 13.2 | January 2026 |
| MiniMax M2.1 | 205K | 3.3 | 13.2 | December 2025 |
| MiniMax M2 | 205K | 2.8 | 11.2 | October 2025 |
| MiniMax M1 | 1M | 4.4 | 24.2 | June 2025 |
| MiniMax-01 | 1.0M | 2.2 | 12.1 | January 2025 |
Frequently asked questions
- What is MiniMax M1?
- MiniMax M1 is an AI model by MiniMax. 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 it...
- How much does MiniMax M1 cost on Zeplik?
- Input tokens cost 4.4 credits per million and output tokens 24.2 credits per million (1 credit = $0.10; the raw provider rates are $0.40 and $2.20 per million). New accounts start with free credits.
- How long can a conversation with MiniMax M1 be?
- MiniMax M1 has a 1M-token context window (1,000,000 tokens), which covers the conversation plus any documents you attach.
- Does MiniMax M1 support images and tools?
- MiniMax M1 is text-only and supports tool calling.
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