MiniMax: MiniMax M2.7
Analysis Summary
MiniMax M2.7 stands out for software engineering, with coding capability well above its general reasoning profile. Its 204K context window supports substantial repositories and technical specifications, while tool use and function calling enable implementation workflows. The weaker agentic profile suggests that autonomous, multi-step execution should remain bounded and monitored.
This model suits code generation, refactoring, test writing, bug explanation, and developer assistance. Its moderate input and output prices make it viable for regular engineering traffic without positioning it as a universal flagship. Adopt it as a coding specialist, especially where human review is already part of the delivery process.
Assessed September 7, 2026
Editorial notes
MiniMax M2.7 is a coding-focused model with a 52.6 coding index, tool use, function calling, and a 204K context window, though its agentic results are less convincing.
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DFO Verdict
MiniMax M2.7 is a coding-focused model with a 52.6 coding index, tool use, function calling, and a 204K context window, though its agentic results are less convincing.
How MiniMax: MiniMax M2.7 compares
MiniMax: MiniMax M2.7 ranks #108 of 438 AI models we track for overall intelligence, #69 of 210 for coding, #100 of 192 for agentic tasks. Its 205K-token context window is larger than 55% of the models we list. At $0.30 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 intelligence 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 | $0.30 | $0.000300 |
| Output | $1.20 | $0.001200 |
What would MiniMax: MiniMax M2.7 cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 776 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 $0.30 per million input tokens and $1.20 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 #69 of 210 models, placing it in the broader range 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.