MiniMax: MiniMax M2.7
Analysis Summary
MiniMax M2.7 is a well-rounded model from MiniMax with an intelligence index in the very strong range and a coding index in the excellent tier. Tool use and function calling are supported, and the agentic index is strong. Instruction-following and long-context reasoning scores are both above average, making it reliable for structured content and document-heavy workflows.
For businesses, it suits a broad range of workloads: coding assistance, long-document analysis, structured content generation, and agentic pipelines. The 204K context window is adequate for most enterprise tasks. Its scicode score is competitive, reflecting strong applied reasoning. The main limitation is the lack of vision support, which restricts multimodal use cases.
At $0.25 input and $1.00 output per million tokens, it offers strong capability per dollar. Teams looking for a cost-effective, broadly capable model for coding, content, and agentic work will find MiniMax M2.7 a compelling option across multiple workflow types.
Assessed June 17, 2026
Editorial notes
MiniMax M2.7 pairs strong reasoning, coding, and agentic performance with excellent instruction-following and long-context scores at competitive pricing, making it a capable all-round business model.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How MiniMax: MiniMax M2.7 compares
MiniMax: MiniMax M2.7 ranks #40 of 385 AI models we track for overall intelligence, #31 of 129 for coding, #56 of 293 for agentic tasks. Its 205K-token context window is larger than 67% of the models we list. At $0.18 per million input tokens it is cheaper than 54% of comparable models.
About 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..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does MiniMax: MiniMax M2.7 stack up?
Compare side-by-side with other professional models.
Model Information
| OpenRouter ID |
minimax/minimax-m2.7
|
| Provider | minimax |
| Release Date | March 18, 2026 |
| Context Length | 204,800 tokens |
| Max Completion | 196,608 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.18 | $0.000180 |
| Output | $0.72 | $0.000720 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
Frequently asked questions about MiniMax: MiniMax M2.7
How much does MiniMax: MiniMax M2.7 cost?
MiniMax: MiniMax M2.7 costs $0.18 per million input tokens and $0.72 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 #31 of 129 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.
