Model comparison
DeepSeek-V2.5 (Sep 2024) vs MiniMax M1
MiniMax M1 is the stronger model overall, scoring 40.3 to 37.6 on the Noometry Index.
Last verified . 17 shared benchmarks.
DeepSeek
MiniMaxSummary
- They share 17 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 0 categories and MiniMax M1 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where MiniMax M1 leads 39.9 to 31.7.
Side by side
| DeepSeek-V2.5 (Sep 2024) | MiniMax M1 | |
|---|---|---|
| Provider | DeepSeek | MiniMax |
| Noometry Index | 37.6 | 40.3 |
| Released | 2024-09-06 | 2025-06-13 |
| Weights | Open | Open |
| Context window | — | 1M |
| Max output | — | 40K |
| Input $ / M tokens | — | $0.55 |
| Output $ / M tokens | — | $2.20 |
| Results tracked | 22 | 18 |
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Category by category
Coding MiniMax M1 leads
DeepSeek-V2.5 (Sep 2024): 31.7 (#281), MiniMax M1: 39.9 (#153)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | MiniMax M1 |
|---|---|---|
| LMArena Coding | 1309 | 1359 |
| Aider Polyglot | 17.8% | — |
| BigCodeBench Instruct | 48.6% | — |
| BigCodeBench Complete | 53.2% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |
Reasoning MiniMax M1 leads
DeepSeek-V2.5 (Sep 2024): 25.6 (#145), MiniMax M1: 26.9 (#126)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | MiniMax M1 |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1339 |
Math MiniMax M1 leads
DeepSeek-V2.5 (Sep 2024): 35.9 (#177), MiniMax M1: 37.5 (#151)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | MiniMax M1 |
|---|---|---|
| LMArena Math | 1288 | 1361 |
Knowledge MiniMax M1 leads
DeepSeek-V2.5 (Sep 2024): 34.8 (#193), MiniMax M1: 36.4 (#170)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | MiniMax M1 |
|---|---|---|
| LMArena Expert | 1266 | 1317 |
Multilingual MiniMax M1 leads
DeepSeek-V2.5 (Sep 2024): 42.5 (#193), MiniMax M1: 45.8 (#163)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | MiniMax M1 |
|---|---|---|
| LMArena Non-English | 1273 | 1319 |
| LMArena Chinese | 1318 | 1360 |
| LMArena French | 1289 | 1370 |
| LMArena German | 1258 | 1350 |
| LMArena Japanese | 1228 | 1217 |
| LMArena Korean | 1209 | 1266 |
| LMArena Russian | 1289 | 1329 |
| LMArena Spanish | 1248 | 1353 |
Instruction Following MiniMax M1 leads
DeepSeek-V2.5 (Sep 2024): 67.5 (#194), MiniMax M1: 69.3 (#174)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | MiniMax M1 |
|---|---|---|
| LMArena Instruction Following | 1280 | 1312 |
Long Context MiniMax M1 leads
DeepSeek-V2.5 (Sep 2024): 39.5 (#174), MiniMax M1: 41.4 (#141)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | MiniMax M1 |
|---|---|---|
| LMArena Longer Query | 1301 | 1326 |
| Fiction.LiveBench | — | 69.4% |
Writing & Preference MiniMax M1 leads
DeepSeek-V2.5 (Sep 2024): 49.8 (#187), MiniMax M1: 53.1 (#161)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | MiniMax M1 |
|---|---|---|
| LMArena Text | 1294 | 1343 |
| LMArena Creative Writing | 1285 | 1298 |
| LMArena Multi-Turn | 1297 | 1335 |
Frequently asked questions
Is DeepSeek-V2.5 (Sep 2024) better than MiniMax M1?
MiniMax M1 is the stronger model overall, scoring 40.3 to 37.6 on the Noometry Index.
Is DeepSeek-V2.5 (Sep 2024) or MiniMax M1 better for coding?
MiniMax M1 scores higher on coding benchmarks: 39.9 versus 31.7 in the Noometry coding category.
How many benchmarks do DeepSeek-V2.5 (Sep 2024) and MiniMax M1 share?
17 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and MiniMax M1 has 18.