MiniMax

MiniMax-M2.7

MiniMax reasoning model with strong intelligence-per-dollar ratio.

#389released Mar 15, 2026·Proprietary·Not disclosed
text1.0M ctx
API providersGet API Key →Leaderboard
Intelligence
45.0 #389
Top 53% tier
Output Speed
40 t/s
ITL 25.0 ms/tok
Blended price (3:1)
$0.875 /1M
In $0.5/M · Out $2/M
Context
1.0M
≈ 2,500 A4 pages · max out 16,384

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

MiniMax-M2.7
Claude Mythos Preview (#1)
Average (68)
Coding (55)Mathematics (41)Hard Science (GPQA) (60)Agentic & Tool Use (49)Knowledge (MMLU) (15)Vision / Multimodal (50)

Radar axes are approximated from category scores where direct benchmark measurements are missing — see Methodology.

API deployment

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Model Details

Release date
Mar 15, 2026
Parameters
Not disclosed
License
Proprietary
Context Window
1,000,000 tokens
Input Price
$0.5/M
Output Price
$2/M
Output Speed
40 t/s
Time to First Token
—

Estimated monthly bill

Estimated monthly spend
$0.00
Calculating savings vs GPT-4o...

Cite & embed

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BibTeX
@misc{llmpodium2026minimaxm27,
  title = {Benchmark Analysis and Intelligence Evaluation of MiniMax-M2.7},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/minimax-m2-7}
}

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