MiniMax M2.7
MiniMax M2.7 is the latest large language model from MiniMax, featuring significant advances in reasoning, coding, and multimodal understanding. Built on an enhanced architecture, it delivers state-of-the-art performance across major benchmarks while supporting extended context windows.
Key Specifications
Parameters
-
Context
205.0K
Release Date
March 18, 2026
Average Score
53.8%
Timeline
Key dates in the model's history
Announcement
March 18, 2026
Last Update
March 21, 2026
Today
September 10, 2026
Technical Specifications
Parameters
-
Training Tokens
-
Knowledge Cutoff
-
Family
-
Capabilities
MultimodalZeroEval
Pricing & Availability
Input (per 1M tokens)
$0.30
Output (per 1M tokens)
$1.20
Max Input Tokens
205.0K
Max Output Tokens
100.0K
Supported Features
Function CallingStructured OutputCode ExecutionWeb SearchBatch InferenceFine-tuning
Benchmark Results
Model performance metrics across various tests and benchmarks
Other Tests
Specialized benchmarks
Artificial Analysis
• Self-reported
Finance Agent v2
• Verified
MLE-Bench Lite
• Self-reported
MM-ClawBench
• Self-reported
Multi-SWE-Bench
• Self-reported
NL2Repo
• Self-reported
SWE-bench Multilingual
• Self-reported
SWE-Bench Pro
• Self-reported
Terminal-Bench 2.0
• Self-reported
Toolathlon
• Self-reported
VIBE-Pro
• Self-reported
License & Metadata
License
proprietary
Announcement Date
March 18, 2026
Last Updated
March 21, 2026
Articles about MiniMax M2.7
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