Model comparison
DeepSeek-V2.5 (Sep 2024) vs Devstral Small 2505
DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 34.3 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeek
Mistral AISummary
- The widest gap is in coding, where Devstral Small 2505 leads 38.9 to 31.7.
Side by side
| DeepSeek-V2.5 (Sep 2024) | Devstral Small 2505 | |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 37.6 | 34.3 |
| Released | 2024-09-06 | 2025-05-07 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 128K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.30 |
| Results tracked | 22 | 4 |
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Category by category
Coding Devstral Small 2505 leads
DeepSeek-V2.5 (Sep 2024): 31.7 (#281), Devstral Small 2505: 38.9 (#166)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Devstral Small 2505 |
|---|---|---|
| SWE-bench Verified (bash only) | — | 56.4% |
| Aider Polyglot | 17.8% | — |
| SciCode | — | 28.8% |
| BigCodeBench Instruct | 48.6% | — |
| LMArena Coding | 1309 | — |
| BigCodeBench Complete | 53.2% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |
Reasoning DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 25.6 (#145), Devstral Small 2505: 19.7 (#252)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Devstral Small 2505 |
|---|---|---|
| Kagi LLM Benchmark | — | 37.7% |
| CritPt | — | 0% |
| LMArena Hard Prompts | 1289 | — |
Math Not comparable
DeepSeek-V2.5 (Sep 2024): 35.9 (#177), Devstral Small 2505: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Devstral Small 2505 |
|---|---|---|
| LMArena Math | 1288 | — |
Knowledge Not comparable
DeepSeek-V2.5 (Sep 2024): 34.8 (#193), Devstral Small 2505: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Devstral Small 2505 |
|---|---|---|
| LMArena Expert | 1266 | — |
Multilingual Not comparable
DeepSeek-V2.5 (Sep 2024): 42.5 (#193), Devstral Small 2505: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Devstral Small 2505 |
|---|---|---|
| LMArena Non-English | 1273 | — |
| LMArena Chinese | 1318 | — |
| LMArena French | 1289 | — |
| LMArena German | 1258 | — |
| LMArena Japanese | 1228 | — |
| LMArena Korean | 1209 | — |
| LMArena Russian | 1289 | — |
| LMArena Spanish | 1248 | — |
Instruction Following Not comparable
DeepSeek-V2.5 (Sep 2024): 67.5 (#194), Devstral Small 2505: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Devstral Small 2505 |
|---|---|---|
| LMArena Instruction Following | 1280 | — |
Long Context Not comparable
DeepSeek-V2.5 (Sep 2024): 39.5 (#174), Devstral Small 2505: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Devstral Small 2505 |
|---|---|---|
| LMArena Longer Query | 1301 | — |
Writing & Preference Not comparable
DeepSeek-V2.5 (Sep 2024): 49.8 (#187), Devstral Small 2505: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Devstral Small 2505 |
|---|---|---|
| LMArena Text | 1294 | — |
| LMArena Creative Writing | 1285 | — |
| LMArena Multi-Turn | 1297 | — |
Frequently asked questions
Is DeepSeek-V2.5 (Sep 2024) better than Devstral Small 2505?
DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 34.3 on the Noometry Index.
Is DeepSeek-V2.5 (Sep 2024) or Devstral Small 2505 better for coding?
Devstral Small 2505 scores higher on coding benchmarks: 38.9 versus 31.7 in the Noometry coding category.
How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Devstral Small 2505 share?
0 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Devstral Small 2505 has 4.