Model comparison
DeepSeek LLM 67B vs Devstral Small 2505
Devstral Small 2505 is the stronger model overall, scoring 34.3 to 24.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in coding, where Devstral Small 2505 leads 38.9 to 31.9.
Side by side
| DeepSeek LLM 67B | Devstral Small 2505 | |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 24.9 | 34.3 |
| Released | 2023-11-29 | 2025-05-07 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 128K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.30 |
| Results tracked | 15 | 4 |
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Category by category
Coding Devstral Small 2505 leads
DeepSeek LLM 67B: 31.9 (#278), Devstral Small 2505: 38.9 (#166)
| Benchmark | DeepSeek LLM 67B | Devstral Small 2505 |
|---|---|---|
| SWE-bench Verified (bash only) | — | 56.4% |
| SciCode | — | 28.8% |
| LMArena Coding | 1096 | — |
Reasoning Devstral Small 2505 leads
DeepSeek LLM 67B: 16.5 (#304), Devstral Small 2505: 19.7 (#252)
| Benchmark | DeepSeek LLM 67B | Devstral Small 2505 |
|---|---|---|
| Kagi LLM Benchmark | — | 37.7% |
| CritPt | — | 0% |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1070 | — |
| Epoch Capabilities Index | 110.5 | — |
Math Not comparable
DeepSeek LLM 67B: 8.7 (#324), Devstral Small 2505: —
| Benchmark | DeepSeek LLM 67B | Devstral Small 2505 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.8% | — |
| LMArena Math | 1108 | — |
| MATH Level 5 | 6.4% | — |
Knowledge Not comparable
DeepSeek LLM 67B: 7.0 (#313), Devstral Small 2505: —
| Benchmark | DeepSeek LLM 67B | Devstral Small 2505 |
|---|---|---|
| GPQA Diamond | 24.6% | — |
Multilingual Not comparable
DeepSeek LLM 67B: 29.4 (#267), Devstral Small 2505: —
| Benchmark | DeepSeek LLM 67B | Devstral Small 2505 |
|---|---|---|
| LMArena Non-English | 1073 | — |
| LMArena Chinese | 1132 | — |
Instruction Following Not comparable
DeepSeek LLM 67B: 55.4 (#277), Devstral Small 2505: —
| Benchmark | DeepSeek LLM 67B | Devstral Small 2505 |
|---|---|---|
| LMArena Instruction Following | 1079 | — |
Long Context Not comparable
DeepSeek LLM 67B: 33.1 (#265), Devstral Small 2505: —
| Benchmark | DeepSeek LLM 67B | Devstral Small 2505 |
|---|---|---|
| LMArena Longer Query | 1092 | — |
Writing & Preference Not comparable
DeepSeek LLM 67B: 31.6 (#282), Devstral Small 2505: —
| Benchmark | DeepSeek LLM 67B | Devstral Small 2505 |
|---|---|---|
| LMArena Text | 1105 | — |
| LMArena Creative Writing | 1067 | — |
| LMArena Multi-Turn | 1082 | — |
Frequently asked questions
Is DeepSeek LLM 67B better than Devstral Small 2505?
Devstral Small 2505 is the stronger model overall, scoring 34.3 to 24.9 on the Noometry Index.
Is DeepSeek LLM 67B or Devstral Small 2505 better for coding?
Devstral Small 2505 scores higher on coding benchmarks: 38.9 versus 31.9 in the Noometry coding category.
How many benchmarks do DeepSeek LLM 67B and Devstral Small 2505 share?
0 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Devstral Small 2505 has 4.