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 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
- 6.6 credits / 1M tokens ($0.55 raw)
- Output price
- 26.4 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 1.20x 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 Flash | 1.0M | 0.90 | 3.6 | October 2026 |
| MiniMax M3 | 524K | 3.6 | 14.4 | May 2026 |
| MiniMax M2.7 | 205K | 3.6 | 14.4 | March 2026 |
| MiniMax M2.5 | 198K | 3.2 | 11.4 | February 2026 |
| MiniMax M2-her | 66K | 3.6 | 14.4 | January 2026 |
| MiniMax M2.1 | 205K | 3.6 | 14.4 | December 2025 |
| MiniMax M2 | 205K | 3.1 | 12.2 | October 2025 |
| MiniMax M1 | 1M | 6.6 | 26.4 | June 2025 |
| MiniMax-01 | 1.0M | 2.4 | 13.2 | January 2025 |
Model comparisons
- MiniMax M3 vs GLM 5.2
- MiniMax M3 vs DeepSeek V4 Pro 0423
- MiniMax M3 vs MiniMax M2.7
- MiniMax M3.1 Flash vs MiniMax M3
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.
- How much does MiniMax M1 cost on Zeplik?
- Input tokens cost 6.6 credits per million and output tokens 26.4 credits per million (1 credit = $0.10; the raw provider rates are $0.55 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.
Related models
MiniMax-M3.1-Flash is a multimodal model from MiniMax. Compared with M3, it delivers significant improvements across multiple benchmarks, particularly in complex agentic tasks, coding, and cybersecurity.
MiniMax-M3 is a multimodal foundation model from MiniMax.
MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement.
MiniMax-M2.5 is a SOTA large language model designed for real-world productivity.
MiniMax M2-her is a dialogue-first large language model built for immersive roleplay, character-driven chat, and expressive multi-turn conversations.
MiniMax-M2.1 is a lightweight, state-of-the-art large language model optimized for coding, agentic workflows, and modern application development.
More you can do with MiniMax M1
- 468 AI skillsReady-to-run expert methods for writing, data, code and more, each running on MiniMax M1 or any model you pick.
- 997 integrationsConnect Gmail, Slack, GitHub, Notion and hundreds more so the assistant can work in your apps.
- Simple pricingPlus, Pro and Max plans with a monthly credit allowance that works across every model.