MiniMax M3 vs MiniMax M2.7
MiniMax's M3 against the best of the M2 line.
Figures as of , read live from the model registry Zeplik bills against.
What the numbers say
- Output pricing is close: 14.4 vs 14.4 credits per 1M tokens.
- MiniMax M3 takes noticeably more context: 524K vs 205K tokens.
- MiniMax M3 accepts images; MiniMax M2.7 is text-only.
- MiniMax M3 is the newer release (May 2026 vs March 2026).
Derived from the live registry Zeplik routes and bills against. Credits: 1 credit = $0.10, computed from the raw provider rate with a 1.20x margin.
Side by side
MiniMax M3
MiniMax
MiniMax-M3 is a multimodal foundation model from MiniMax.
- Provider
- MiniMax
- Context window
- 524K tokens
- Input price
- 3.6 credits / 1M tokens ($0.30 raw)
- Output price
- 14.4 credits / 1M tokens ($1.20 raw)
- Vision (image input)
- Yes
- Tool calling
- Yes
- Extended reasoning
- No
Best for
- High-volume everyday tasks where speed and cost matter: summaries, drafts, quick questions
- Very long documents and codebases: a 524K-token window fits entire books or repositories in one conversation
- Working with images: screenshots, charts, photos and scanned documents alongside text
- Tool use and agents: reliably calls functions, so it can search, run skills and drive workflows
MiniMax M2.7
MiniMax
MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement.
- Provider
- MiniMax
- Context window
- 205K tokens
- Input price
- 3.6 credits / 1M tokens ($0.30 raw)
- Output price
- 14.4 credits / 1M tokens ($1.20 raw)
- Vision (image input)
- No
- Tool calling
- Yes
- Extended reasoning
- No
Best for
- High-volume everyday tasks where speed and cost matter: summaries, drafts, quick questions
- Long documents: the 205K-token window holds lengthy reports, contracts or papers whole
- Tool use and agents: reliably calls functions, so it can search, run skills and drive workflows
Try both on Zeplik
The honest answer to most model debates is to run your own prompt on both. Zeplik puts MiniMax M3 and MiniMax M2.7 in the same chat, so you can switch mid-conversation and compare answers on the work you actually do.
Frequently asked questions
- What is the difference between MiniMax M3 and MiniMax M2.7?
- Output pricing is close: 14.4 vs 14.4 credits per 1M tokens. MiniMax M3 takes noticeably more context: 524K vs 205K tokens. MiniMax M3 accepts images; MiniMax M2.7 is text-only. MiniMax M3 is the newer release (May 2026 vs March 2026).
- Is MiniMax M3 or MiniMax M2.7 cheaper?
- They cost the same on output tokens: 14.4 credits per million each. 1 credit = $0.10, computed from the raw provider rate with a 1.20x margin.
- Which has the larger context window, MiniMax M3 or MiniMax M2.7?
- MiniMax M3, at 524K tokens against 205K.
- Can I use both MiniMax M3 and MiniMax M2.7 on Zeplik?
- Yes. Zeplik is a multi-model chat, so both sit behind one account and you can switch between them mid-conversation to compare answers on your own prompt.
- Do MiniMax M3 and MiniMax M2.7 need a paid plan?
- Both need a paid plan (Plus or above). Usage is then billed in credits from your monthly allowance.
Related comparisons
- MiniMax M3 vs GLM 5.2Two fast-iterating challengers, MiniMax's M3 against GLM 5.2.
- MiniMax M3 vs DeepSeek V4 Pro 0423MiniMax's M3 against the open-weight benchmark everyone measures by.
- MiniMax M3.1 Flash vs MiniMax M3MiniMax's newest flash tier against the M3 it extends: where throughput is bought and what it costs in depth.
Explore Zeplik
- 468 AI skillsReady-to-run expert methods that run on MiniMax M3, MiniMax M2.7 or any other model.
- 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.