Compare / DeepSeek V3.2 vs MiniMax M2.1
DeepSeek V3.2 vs MiniMax M2.1
11 results from 3 sources that measured both models. Each row is in the source's own units; there is no overall winner.
| Benchmark | Metric | DeepSeek V3.2 | MiniMax M2.1 |
|---|---|---|---|
| OpenHands Indexreported | Average% resolved | 45.7% | 41.2% |
| OpenHands Indexreported | Front end (SWE-Bench Multimodal)% resolved | 27.9% | 16.2% |
| OpenHands Indexreported | Greenfield (Commit0)% resolved | 25.0% | 18.8% |
| OpenHands Indexreported | Information gathering (GAIA)% resolved | 50.3% | 40.6% |
| OpenHands Indexreported | Issue resolution (SWE-Bench)% resolved | 71.6% | 68.8% |
| OpenHands Indexreported | Testing (SWT-Bench)% resolved | 53.6% | 61.4% |
| UGI Leaderboardreported | Requested-length error% off the requested word count | 26.0% | 31.0% |
| UGI Leaderboardreported | Style adherencescore from 0 to 1 | 0.36 | 0.41 |
| UGI Leaderboardreported | Writing scorescore out of 100 | 57.3 | 41.6 |
| Vectara Hallucination Leaderboardreported | Answer rate% of documents | 92.6% | 98.5% |
| Vectara Hallucination Leaderboardreported | Hallucination rate% of summaries | 6.3% | 11.8% |
Bold green marks the better value on that metric. Where a source reports ranges that overlap, the difference may not be meaningful; see the benchmark page for ranges.