Model comparison
DeepSeek-V3.1 vs MiniMax M1
DeepSeek-V3.1 is the stronger model overall, scoring 42.8 to 40.3 on the Noometry Index.
Last verified . 18 shared benchmarks.
DeepSeek
MiniMaxSummary
- They share 18 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 7 categories and MiniMax M1 in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where DeepSeek-V3.1 leads 43.7 to 36.4.
- The biggest single-benchmark swing is Fiction.LiveBench: 52.8% for DeepSeek-V3.1 and 69.4% for MiniMax M1.
- DeepSeek-V3.1 is cheaper at $0.25 / $0.95 per million input/output tokens, against $0.55 / $2.20 for MiniMax M1.
- MiniMax M1 accepts more context: 1M tokens versus 164K.
Side by side
| DeepSeek-V3.1 | MiniMax M1 | |
|---|---|---|
| Provider | DeepSeek | MiniMax |
| Noometry Index | 42.8 | 40.3 |
| Released | 2025-08-21 | 2025-06-13 |
| Weights | Open | Open |
| Context window | 164K | 1M |
| Max output | 8K | 40K |
| Input $ / M tokens | $0.25 | $0.55 |
| Output $ / M tokens | $0.95 | $2.20 |
| Results tracked | 27 | 18 |
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Category by category
Coding Too close to call
DeepSeek-V3.1: 40.3 (#144), MiniMax M1: 39.9 (#153)
| Benchmark | DeepSeek-V3.1 | MiniMax M1 |
|---|---|---|
| LMArena Coding | 1417 | 1359 |
| WeirdML | 38.4% | — |
Reasoning DeepSeek-V3.1 leads
DeepSeek-V3.1: 27.9 (#110), MiniMax M1: 26.9 (#126)
| Benchmark | DeepSeek-V3.1 | MiniMax M1 |
|---|---|---|
| LMArena Hard Prompts | 1417 | 1339 |
| SimpleBench | 40% | — |
| Kagi LLM Benchmark | 53.2% | — |
| DTBench | 82.7% | — |
| LMCA | 24.3% | — |
| Epoch Capabilities Index | 139.92 | — |
| ForecastBench | 58 | — |
Math DeepSeek-V3.1 leads
DeepSeek-V3.1: 38.9 (#122), MiniMax M1: 37.5 (#151)
| Benchmark | DeepSeek-V3.1 | MiniMax M1 |
|---|---|---|
| LMArena Math | 1420 | 1361 |
Knowledge DeepSeek-V3.1 leads
DeepSeek-V3.1: 43.7 (#90), MiniMax M1: 36.4 (#170)
| Benchmark | DeepSeek-V3.1 | MiniMax M1 |
|---|---|---|
| LMArena Expert | 1405 | 1317 |
| Vectara Hallucination Rate | 5.5% | — |
Multilingual DeepSeek-V3.1 leads
DeepSeek-V3.1: 51.6 (#106), MiniMax M1: 45.8 (#163)
| Benchmark | DeepSeek-V3.1 | MiniMax M1 |
|---|---|---|
| LMArena Non-English | 1400 | 1319 |
| LMArena Chinese | 1469 | 1360 |
| LMArena French | 1447 | 1370 |
| LMArena German | 1411 | 1350 |
| LMArena Japanese | 1378 | 1217 |
| LMArena Korean | 1337 | 1266 |
| LMArena Russian | 1405 | 1329 |
| LMArena Spanish | 1431 | 1353 |
Instruction Following DeepSeek-V3.1 leads
DeepSeek-V3.1: 73.9 (#110), MiniMax M1: 69.3 (#174)
| Benchmark | DeepSeek-V3.1 | MiniMax M1 |
|---|---|---|
| LMArena Instruction Following | 1400 | 1312 |
Long Context MiniMax M1 leads
DeepSeek-V3.1: 36.3 (#232), MiniMax M1: 41.4 (#141)
| Benchmark | DeepSeek-V3.1 | MiniMax M1 |
|---|---|---|
| Fiction.LiveBench | 52.8% | 69.4% |
| LMArena Longer Query | 1422 | 1326 |
Writing & Preference DeepSeek-V3.1 leads
DeepSeek-V3.1: 60.3 (#98), MiniMax M1: 53.1 (#161)
| Benchmark | DeepSeek-V3.1 | MiniMax M1 |
|---|---|---|
| LMArena Text | 1420 | 1343 |
| LMArena Creative Writing | 1401 | 1298 |
| LMArena Multi-Turn | 1408 | 1335 |
| EQ-Bench Creative Writing | 1436 | — |
Frequently asked questions
Is DeepSeek-V3.1 better than MiniMax M1?
DeepSeek-V3.1 is the stronger model overall, scoring 42.8 to 40.3 on the Noometry Index.
Which is cheaper, DeepSeek-V3.1 or MiniMax M1?
DeepSeek-V3.1 is cheaper. It lists at $0.25 per million input tokens and $0.95 per million output tokens; MiniMax M1 lists at $0.55 and $2.20.
Is DeepSeek-V3.1 or MiniMax M1 better for coding?
They score almost the same on coding (40.3 vs 39.9); test both on your own repository before choosing.
Which has the bigger context window?
MiniMax M1 does, with 1M tokens against 164K.
How many benchmarks do DeepSeek-V3.1 and MiniMax M1 share?
18 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and MiniMax M1 has 18.