Model comparison
Devstral Small 2505 vs Qwen2.5 72B Instruct
Devstral Small 2505 is the stronger model overall, scoring 33.9 to 31.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- The widest gap is in coding, where Devstral Small 2505 leads 38.6 to 32.8.
- Devstral Small 2505 is cheaper at $0.10 / $0.30 per million input/output tokens, against $1.40 / $5.60 for Qwen2.5 72B Instruct.
- Qwen2.5 72B Instruct accepts more context: 131K tokens versus 128K.
Side by side
| Devstral Small 2505 | Qwen2.5 72B Instruct | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 33.9 | 31.5 |
| Released | 2025-05-07 | 2024-09 |
| Weights | Open | Open |
| Context window | 128K | 131K |
| Max output | 128K | 8K |
| Input $ / M tokens | $0.10 | $1.40 |
| Output $ / M tokens | $0.30 | $5.60 |
| Results tracked | 4 | 43 |
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Category by category
Coding Devstral Small 2505 leads
Devstral Small 2505: 38.6 (#160), Qwen2.5 72B Instruct: 32.8 (#256)
| Benchmark | Devstral Small 2505 | Qwen2.5 72B Instruct |
|---|---|---|
| SWE-bench Verified (bash only) | 56.4% | — |
| SciCode | 28.8% | — |
| WeirdML | — | 16% |
| BigCodeBench Instruct | — | 45.8% |
| LMArena Coding | — | 1293 |
| BigCodeBench Complete | — | 55.9% |
Agentic & Tool Use Not comparable
Devstral Small 2505: —, Qwen2.5 72B Instruct: 22.0 (#124)
| Benchmark | Devstral Small 2505 | Qwen2.5 72B Instruct |
|---|---|---|
| TheAgentCompany | — | 5.7% |
| BALROG | — | 16.2% |
| METR Time Horizons | — | 35.8% |
Reasoning Qwen2.5 72B Instruct leads
Devstral Small 2505: 19.1 (#243), Qwen2.5 72B Instruct: 21.4 (#197)
| Benchmark | Devstral Small 2505 | Qwen2.5 72B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 37.7% | — |
| CritPt | 0% | — |
| LMArena Hard Prompts | — | 1271 |
| DTBench | — | 62.9% |
| LMCA | — | 13.4% |
| BIG-Bench Hard | — | 79.8% |
| Epoch Capabilities Index | — | 129.01 |
| ForecastBench | — | 57.5 |
| HellaSwag | — | 84.8% |
| PIQA | — | 82.6% |
| WinoGrande | — | 82.3% |
Math Not comparable
Devstral Small 2505: —, Qwen2.5 72B Instruct: 18.1 (#281)
| Benchmark | Devstral Small 2505 | Qwen2.5 72B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 8.1% |
| Omni-MATH | — | 33% |
| LMArena Math | — | 1283 |
| MATH Level 5 | — | 63.2% |
Knowledge Not comparable
Devstral Small 2505: —, Qwen2.5 72B Instruct: 26.9 (#247)
| Benchmark | Devstral Small 2505 | Qwen2.5 72B Instruct |
|---|---|---|
| GPQA Diamond | — | 49.1% |
| MMLU-Pro | — | 63.1% |
| Confabulations | — | 19.1% |
| GPQA (HELM) | — | 42.6% |
| LMArena Expert | — | 1245 |
| ARC (AI2) Challenge | — | 94.5% |
| MMLU | — | 85.3% |
| TriviaQA | — | 71.9% |
Multilingual Not comparable
Devstral Small 2505: —, Qwen2.5 72B Instruct: 41.2 (#208)
| Benchmark | Devstral Small 2505 | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Non-English | — | 1252 |
| LMArena Chinese | — | 1272 |
| LMArena French | — | 1279 |
| LMArena German | — | 1234 |
| LMArena Japanese | — | 1180 |
| LMArena Korean | — | 1188 |
| LMArena Russian | — | 1264 |
| LMArena Spanish | — | 1255 |
Instruction Following Not comparable
Devstral Small 2505: —, Qwen2.5 72B Instruct: 65.7 (#216)
| Benchmark | Devstral Small 2505 | Qwen2.5 72B Instruct |
|---|---|---|
| IFEval | — | 80.6% |
| LMArena Instruction Following | — | 1254 |
Long Context Not comparable
Devstral Small 2505: —, Qwen2.5 72B Instruct: 38.9 (#183)
| Benchmark | Devstral Small 2505 | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Longer Query | — | 1282 |
Writing & Preference Not comparable
Devstral Small 2505: —, Qwen2.5 72B Instruct: 46.9 (#210)
| Benchmark | Devstral Small 2505 | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Text | — | 1269 |
| LMArena Creative Writing | — | 1221 |
| WildBench | — | 80.2% |
| LMArena Multi-Turn | — | 1272 |
Frequently asked questions
Is Devstral Small 2505 better than Qwen2.5 72B Instruct?
Devstral Small 2505 is the stronger model overall, scoring 33.9 to 31.5 on the Noometry Index.
Which is cheaper, Devstral Small 2505 or Qwen2.5 72B Instruct?
Devstral Small 2505 is cheaper. It lists at $0.10 per million input tokens and $0.30 per million output tokens; Qwen2.5 72B Instruct lists at $1.40 and $5.60.
Is Devstral Small 2505 or Qwen2.5 72B Instruct better for coding?
Devstral Small 2505 scores higher on coding benchmarks: 38.6 versus 32.8 in the Noometry coding category.
Which has the bigger context window?
Qwen2.5 72B Instruct does, with 131K tokens against 128K.
How many benchmarks do Devstral Small 2505 and Qwen2.5 72B Instruct share?
0 benchmarks have published results for both models. Devstral Small 2505 has 4 scored results on Noometry and Qwen2.5 72B Instruct has 43.