MiniMax: MiniMax M2.7
Chatminimax/minimax-m2.7MiniMax M2.7 is MiniMax's software-engineering focused model, delivering outstanding performance on end-to-end project delivery, log analysis and bug triaging, code security, and machine learning work. It scores 56.22% on SWE-Pro, nearly matching the level of Opus, alongside 55.6% on VIBE-Pro for complete project delivery and 57.0% on Terminal Bench 2, which measures deep understanding of complex engineering systems. Reasoning, function calling, prompt caching, and web search are all supported. Context: 200K tokens, output: 131K. Available via OpenAI and Anthropic protocols.
Providers
provider.type: "minimax"/v1/chat/completions/v1/responsesCode Examples
from openai import OpenAIclient = OpenAI(base_url="https://api.ofox.ai/v1",api_key="YOUR_OFOX_API_KEY",)response = client.chat.completions.create(model="minimax/minimax-m2.7",messages=[{"role": "user", "content": "Hello!"}],)print(response.choices[0].message.content)
Benchmarks
MiniMax: MiniMax M2.7 scores 1417 in the Overall category of the LMArena text leaderboard (style control), ranking #104 of 374 models based on 46,755 human preference votes (updated 2026-07-12).
| Category | Arena Score | 95% CI | Rank | Votes |
|---|---|---|---|---|
| Overall | 1417 | 1412โ1421 | #104 of 374 | 46,755 |
| Hard Prompts | 1443 | 1438โ1448 | #92 of 374 | 30,204 |
| Coding | 1479 | 1473โ1486 | #76 of 369 | 13,549 |
| Math | 1424 | 1411โ1436 | #88 of 362 | 2,488 |
| Creative Writing | 1363 | 1354โ1371 | #131 of 372 | 7,163 |
| Instruction Following | 1409 | 1403โ1415 | #98 of 374 | 14,903 |
| Chinese | 1442 | 1428โ1456 | #111 of 344 | 2,295 |
Source: LMArena ยท CC BY 4.0 ยท Updated 2026-07-12 ยท Methodology โ ยท Ranks compare models within each category of the LMArena text leaderboard (style control). Scores come from third-party human preference evaluations, not from OFOX.