MiniMax: MiniMax M2.5
Chatminimax/minimax-m2.5MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1 to extend into general office work, reaching fluency in generating and operating Word, Excel, and Powerpoint files, context switching between diverse software environments, and working across different agent and human teams. Scoring 80.2% on SWE-Bench Verified, 51.3% on Multi-SWE-Bench, and 76.3% on BrowseComp, M2.5 is also more token efficient than previous generations, having been trained to optimize its actions and output through planning.
Providers
/v1/chat/completionsCode Examples
from openai import OpenAIclient = OpenAI(base_url="https://api.ofox.io/v1",api_key="YOUR_OFOX_API_KEY",)response = client.chat.completions.create(model="minimax/minimax-m2.5",messages=[{"role": "user", "content": "Hello!"}],)print(response.choices[0].message.content)
Benchmarks
MiniMax: MiniMax M2.5 scores 1391 in the Overall category of the LMArena text leaderboard (style control), ranking #137 of 374 models based on 41,159 human preference votes (updated 2026-07-12).
| Category | Arena Score | 95% CI | Rank | Votes |
|---|---|---|---|---|
| Overall | 1391 | 1387–1395 | #137 of 374 | 41,159 |
| Hard Prompts | 1416 | 1411–1420 | #133 of 374 | 25,585 |
| Coding | 1444 | 1438–1451 | #126 of 369 | 10,895 |
| Math | 1396 | 1384–1408 | #132 of 362 | 2,436 |
| Creative Writing | 1359 | 1350–1367 | #135 of 372 | 6,411 |
| Instruction Following | 1381 | 1375–1387 | #140 of 374 | 12,998 |
| Chinese | 1429 | 1416–1443 | #125 of 344 | 2,187 |
Source: LMArena · CC BY 4.0 · Updated 2026-07-12 · Methodology ↗ · Ranks compare models within each category of the LMArena text leaderboard (style control). Scores come from third-party human preference evaluations, not from OFOX.