MiniMax: MiniMax M2.7
Analysis Summary
MiniMax M2.7 is a coding-focused model with reasoning that sits comfortably in the upper-middle tier. Its coding index is particularly strong, suggesting it handles code generation, debugging, and refactoring tasks well, and it supports tool use and function calling for integration into developer workflows.
The agentic score is comparatively weaker, meaning it is better suited to discrete coding tasks than long autonomous agent chains involving many sequential tool calls. Businesses building developer assistants, code review pipelines, or internal engineering tools would get good value here, while those building complex multi-agent systems may want a model with stronger agentic consistency.
Pricing is moderate rather than aggressive, but the coding capability on offer makes it a reasonable choice for engineering-heavy teams that want strong code quality without paying flagship prices.
Assessed July 25, 2026
Editorial notes
MiniMax M2.7 delivers strong coding performance and very strong reasoning for its class, though agentic reliability lags behind its coding strength.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
MiniMax M2.7 delivers strong coding performance and very strong reasoning for its class, though agentic reliability lags behind its coding strength.
How MiniMax: MiniMax M2.7 compares
MiniMax: MiniMax M2.7 ranks #48 of 398 AI models we track for overall intelligence, #39 of 173 for coding, #53 of 154 for agentic tasks. Its 205K-token context window is larger than 61% of the models we list. At $0.27 per million input tokens it is cheaper than 47% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.27 | $0.000270 |
| Output | $1.08 | $0.001080 |
What would MiniMax: MiniMax M2.7 cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 654 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save MiniMax: MiniMax M2.7 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout MiniMax: MiniMax M2.7
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..
Frequently asked questions about MiniMax: MiniMax M2.7
How much does MiniMax: MiniMax M2.7 cost?
MiniMax: MiniMax M2.7 costs $0.27 per million input tokens and $1.08 per million output tokens.
What is the context window of MiniMax: MiniMax M2.7?
MiniMax: MiniMax M2.7 has a context window of 204,800 tokens (205K).
Is MiniMax: MiniMax M2.7 good for coding?
On our coding benchmark index, MiniMax: MiniMax M2.7 ranks #39 of 173 models, placing it in the top quartile of the field for code generation and debugging.
What can MiniMax: MiniMax M2.7 do?
MiniMax: MiniMax M2.7 supports tool use and function calling.
Who created MiniMax: MiniMax M2.7?
MiniMax: MiniMax M2.7 is developed by MiniMax and was released on March 18, 2026.
