Model comparison
DeepSeek-V2.5 (Sep 2024) vs MiMo-V2.5-Pro
MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 37.6 on the Noometry Index.
Last verified . 17 shared benchmarks.
DeepSeekSummary
- They share 17 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 0 categories and MiMo-V2.5-Pro in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where MiMo-V2.5-Pro leads 47.4 to 31.7.
Side by side
| DeepSeek-V2.5 (Sep 2024) | MiMo-V2.5-Pro | |
|---|---|---|
| Provider | DeepSeek | Xiaomi |
| Noometry Index | 37.6 | 45.2 |
| Released | 2024-09-06 | 2026-04-22 |
| Weights | Open | Open |
| Context window | — | 1.05M |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.43 |
| Output $ / M tokens | — | $0.87 |
| Results tracked | 22 | 27 |
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Category by category
Coding MiMo-V2.5-Pro leads
DeepSeek-V2.5 (Sep 2024): 31.7 (#281), MiMo-V2.5-Pro: 47.4 (#60)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Coding | 1309 | 1503 |
| Aider Polyglot | 17.8% | — |
| LMArena WebDev | — | 1479 |
| SciCode | — | 50.2% |
| BigCodeBench Instruct | 48.6% | — |
| BigCodeBench Complete | 53.2% | — |
| ALE-Bench | — | 899.8 |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |
Reasoning MiMo-V2.5-Pro leads
DeepSeek-V2.5 (Sep 2024): 25.6 (#145), MiMo-V2.5-Pro: 26.8 (#130)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1488 |
| NYT Connections (extended) | — | 34.4% |
| CritPt | — | 4% |
| DTBench | — | 84.5% |
| LMCA | — | 29.5% |
Math MiMo-V2.5-Pro leads
DeepSeek-V2.5 (Sep 2024): 35.9 (#177), MiMo-V2.5-Pro: 40.0 (#96)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Math | 1288 | 1481 |
| ProofBench | — | 22% |
Knowledge MiMo-V2.5-Pro leads
DeepSeek-V2.5 (Sep 2024): 34.8 (#193), MiMo-V2.5-Pro: 42.2 (#98)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Expert | 1266 | 1503 |
Multilingual MiMo-V2.5-Pro leads
DeepSeek-V2.5 (Sep 2024): 42.5 (#193), MiMo-V2.5-Pro: 55.1 (#34)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Non-English | 1273 | 1449 |
| LMArena Chinese | 1318 | 1507 |
| LMArena French | 1289 | 1488 |
| LMArena German | 1258 | 1458 |
| LMArena Japanese | 1228 | 1412 |
| LMArena Korean | 1209 | 1437 |
| LMArena Russian | 1289 | 1450 |
| LMArena Spanish | 1248 | 1471 |
Instruction Following MiMo-V2.5-Pro leads
DeepSeek-V2.5 (Sep 2024): 67.5 (#194), MiMo-V2.5-Pro: 77.5 (#21)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Instruction Following | 1280 | 1477 |
Long Context MiMo-V2.5-Pro leads
DeepSeek-V2.5 (Sep 2024): 39.5 (#174), MiMo-V2.5-Pro: 45.4 (#37)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Longer Query | 1301 | 1483 |
Writing & Preference MiMo-V2.5-Pro leads
DeepSeek-V2.5 (Sep 2024): 49.8 (#187), MiMo-V2.5-Pro: 65.3 (#49)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Text | 1294 | 1465 |
| LMArena Creative Writing | 1285 | 1440 |
| LMArena Multi-Turn | 1297 | 1477 |
| EQ-Bench Creative Writing | — | 1493 |
| EQ-Bench 4 | — | 1208 |
Frequently asked questions
Is DeepSeek-V2.5 (Sep 2024) better than MiMo-V2.5-Pro?
MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 37.6 on the Noometry Index.
Is DeepSeek-V2.5 (Sep 2024) or MiMo-V2.5-Pro better for coding?
MiMo-V2.5-Pro scores higher on coding benchmarks: 47.4 versus 31.7 in the Noometry coding category.
How many benchmarks do DeepSeek-V2.5 (Sep 2024) and MiMo-V2.5-Pro share?
17 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and MiMo-V2.5-Pro has 27.