MiniMax M3 vs MiniMax M2.7
MiniMax's newest M3 against the best of the M2 line.
What the numbers say
- MiniMax M2.7 is about 1.3x cheaper on output tokens (10.6 vs 13.2 credits per 1M).
- MiniMax M3 takes noticeably more context: 1.0M 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, raw provider rate with a 1.10x margin.
Side by side
MiniMax M3
MiniMax
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...
- Provider
- MiniMax
- Context window
- 1.0M tokens
- Input price
- 3.3 credits / 1M tokens ($0.30 raw)
- Output price
- 13.2 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 1.0M-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. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...
- Provider
- MiniMax
- Context window
- 205K tokens
- Input price
- 2.6 credits / 1M tokens ($0.24 raw)
- Output price
- 10.6 credits / 1M tokens ($0.96 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.