Model comparison
DeepSeek-V2.5 (Sep 2024) vs Magistral Small
DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 30.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeek
Mistral AISummary
- The widest gap is in reasoning, where DeepSeek-V2.5 (Sep 2024) leads 25.6 to 6.8.
Side by side
| DeepSeek-V2.5 (Sep 2024) | Magistral Small | |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 37.6 | 30.2 |
| Released | 2024-09-06 | 2025-06-10 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 40K |
| Input $ / M tokens | — | $0.50 |
| Output $ / M tokens | — | $1.50 |
| Results tracked | 22 | 10 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Magistral Small leads
DeepSeek-V2.5 (Sep 2024): 31.7 (#281), Magistral Small: 38.4 (#176)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Magistral Small |
|---|---|---|
| Aider Polyglot | 17.8% | — |
| SciCode | — | 35.2% |
| 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), Magistral Small: 6.8 (#350)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Magistral Small |
|---|---|---|
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 6.3% |
| ARC-AGI-1 | — | 5% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 3% |
| LMArena Hard Prompts | 1289 | — |
| DTBench | — | 61.3% |
| Epoch Capabilities Index | — | 133.19 |
Math DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 35.9 (#177), Magistral Small: 26.2 (#261)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Magistral Small |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 30% |
| LMArena Math | 1288 | — |
Knowledge DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 34.8 (#193), Magistral Small: 30.9 (#223)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Magistral Small |
|---|---|---|
| GPQA Diamond | — | 56.1% |
| LMArena Expert | 1266 | — |
Multilingual Not comparable
DeepSeek-V2.5 (Sep 2024): 42.5 (#193), Magistral Small: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Magistral Small |
|---|---|---|
| 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), Magistral Small: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Magistral Small |
|---|---|---|
| LMArena Instruction Following | 1280 | — |
Long Context Not comparable
DeepSeek-V2.5 (Sep 2024): 39.5 (#174), Magistral Small: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Magistral Small |
|---|---|---|
| LMArena Longer Query | 1301 | — |
Writing & Preference Not comparable
DeepSeek-V2.5 (Sep 2024): 49.8 (#187), Magistral Small: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Magistral Small |
|---|---|---|
| LMArena Text | 1294 | — |
| LMArena Creative Writing | 1285 | — |
| LMArena Multi-Turn | 1297 | — |
Frequently asked questions
Is DeepSeek-V2.5 (Sep 2024) better than Magistral Small?
DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 30.2 on the Noometry Index.
Is DeepSeek-V2.5 (Sep 2024) or Magistral Small better for coding?
Magistral Small scores higher on coding benchmarks: 38.4 versus 31.7 in the Noometry coding category.
How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Magistral Small share?
0 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Magistral Small has 10.