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MiniMax M2.7
🇨🇳MiniMax4moOpen Weights
Context:205K tokens
Input:$0.3/1M
Output:$1.2/1M
Neura Index
39.2
Rank #198—
lowCategory Profile
Benchmark Scores (2)
coding
| Benchmark | Score | Source |
|---|---|---|
| SWE-Bench Pro | 56.2 | verified |
agent
| Benchmark | Score | Source |
|---|---|---|
| Toolathlon | 46.3 | verified |
Performance History
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Frequently Asked Questions about MiniMax M2.7
What is MiniMax M2.7's Neura Intelligence Index score?▾
MiniMax M2.7 by MiniMax scores 39.2 out of 100 on the Neura Intelligence Index, ranking #198 among tracked AI models. This composite score is computed from 2 individual benchmarks across coding, math, reasoning, and language categories.
How much does MiniMax M2.7 cost to use?▾
MiniMax M2.7 costs $0.3/1M input tokens and $1.2/1M output tokens via API. At a typical 3:1 input-to-output ratio with 1M tokens/day usage, the estimated monthly cost is approximately $16.
Is MiniMax M2.7 open source?▾
Yes, MiniMax M2.7 has open weights available under the mit license. You can download and self-host the model.
What is MiniMax M2.7's context window?▾
MiniMax M2.7 supports a context window of 205K tokens, allowing it to process very long documents, codebases, and conversations in a single request.
What benchmark does MiniMax M2.7 perform best on?▾
MiniMax M2.7 achieves its highest score on SWE-Bench Pro with a score of 56.2%. This benchmark evaluates harder subset of swe-bench with more complex multi-file changes.