Model comparison
DeepSeek-V2.5 (Sep 2024) vs Mistral Small 3
DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 31.2 on the Noometry Index.
Last verified . 18 shared benchmarks.
DeepSeek
Mistral AISummary
- They share 18 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 7 categories and Mistral Small 3 in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek-V2.5 (Sep 2024) leads 35.9 to 16.3.
Side by side
| DeepSeek-V2.5 (Sep 2024) | Mistral Small 3 | |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 37.6 | 31.2 |
| Released | 2024-09-06 | 2025-01-30 |
| Weights | Open | Open |
| Context window | — | 33K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.05 |
| Output $ / M tokens | — | $0.08 |
| Results tracked | 22 | 24 |
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Category by category
Coding Mistral Small 3 leads
DeepSeek-V2.5 (Sep 2024): 31.7 (#281), Mistral Small 3: 36.5 (#207)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral Small 3 |
|---|---|---|
| BigCodeBench Instruct | 48.6% | 45.3% |
| LMArena Coding | 1309 | 1246 |
| BigCodeBench Complete | 53.2% | 50.4% |
| Aider Polyglot | 17.8% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |
Reasoning DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 25.6 (#145), Mistral Small 3: 18.9 (#273)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral Small 3 |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1233 |
| Chess Puzzles | — | 0% |
| Epoch Capabilities Index | — | 127.07 |
Math DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 35.9 (#177), Mistral Small 3: 16.3 (#295)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral Small 3 |
|---|---|---|
| LMArena Math | 1288 | 1240 |
| OTIS Mock AIME 2024-2025 | — | 6.7% |
Knowledge DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 34.8 (#193), Mistral Small 3: 25.1 (#263)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral Small 3 |
|---|---|---|
| LMArena Expert | 1266 | 1202 |
| GPQA Diamond | — | 47.3% |
| Confabulations | — | 25.2% |
Multilingual DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 42.5 (#193), Mistral Small 3: 37.3 (#236)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral Small 3 |
|---|---|---|
| LMArena Non-English | 1273 | 1198 |
| LMArena Chinese | 1318 | 1204 |
| LMArena French | 1289 | 1203 |
| LMArena German | 1258 | 1211 |
| LMArena Japanese | 1228 | 1111 |
| LMArena Korean | 1209 | 1188 |
| LMArena Russian | 1289 | 1216 |
| LMArena Spanish | 1248 | — |
Instruction Following DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 67.5 (#194), Mistral Small 3: 63.7 (#229)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral Small 3 |
|---|---|---|
| LMArena Instruction Following | 1280 | 1214 |
Long Context DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 39.5 (#174), Mistral Small 3: 37.8 (#211)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral Small 3 |
|---|---|---|
| LMArena Longer Query | 1301 | 1246 |
Writing & Preference DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 49.8 (#187), Mistral Small 3: 32.2 (#280)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral Small 3 |
|---|---|---|
| LMArena Text | 1294 | 1234 |
| LMArena Creative Writing | 1285 | 1195 |
| LMArena Multi-Turn | 1297 | 1217 |
| EQ-Bench Creative Writing | — | 707 |
Frequently asked questions
Is DeepSeek-V2.5 (Sep 2024) better than Mistral Small 3?
DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 31.2 on the Noometry Index.
Is DeepSeek-V2.5 (Sep 2024) or Mistral Small 3 better for coding?
Mistral Small 3 scores higher on coding benchmarks: 36.5 versus 31.7 in the Noometry coding category.
How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Mistral Small 3 share?
18 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Mistral Small 3 has 24.