MiniMax: MiniMax M2.7
Analysis Summary
MiniMax M2.7 is a technically strong model with a coding index of 52.6 and agentic index of 62.1, placing it in the upper tier for coding and agent-oriented tasks. Its intelligence index of 38.1 is very strong, and it shows competitive results on scientific reasoning and instruction-following benchmarks.
For businesses, it is well suited to software engineering workflows, autonomous coding agents, and structured content generation. The 204K context window is adequate for most tasks but falls short of the 1M+ windows offered by some competitors. The lack of vision support is a limitation for multimodal use cases.
At $0.24 input and $0.96 output, it offers excellent value for its coding and agentic capability. Teams prioritising coding performance and agent reliability at a low cost should consider it a strong contender.
Assessed July 10, 2026
Editorial notes
MiniMax M2.7 pairs a world-class coding index of 52.6 with a strong agentic score of 62.1, tool use, and aggressive pricing at $0.24/$0.96 per million tokens.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
MiniMax M2.7 pairs a world-class coding index of 52.6 with a strong agentic score of 62.1, tool use, and aggressive pricing at $0.24/$0.96 per million tokens.
How MiniMax: MiniMax M2.7 compares
MiniMax: MiniMax M2.7 ranks #44 of 393 AI models we track for overall intelligence, #34 of 157 for coding, #152 of 300 for agentic tasks. Its 205K-token context window is larger than 65% of the models we list. At $0.25 per million input tokens it is cheaper than 50% of comparable models.
Dark bar = input Ā· light bar = output, scaled to the priciest peer.
1M tokens ā 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in content corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side āPricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.25 | $0.000250 |
| Output | $1.00 | $0.001000 |
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 612 models ā 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..
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Frequently asked questions about MiniMax: MiniMax M2.7
How much does MiniMax: MiniMax M2.7 cost?
MiniMax: MiniMax M2.7 costs $0.25 per million input tokens and $1.00 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 #34 of 157 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.
