Model comparison
Devstral Small 2505 vs Mistral Large
Devstral Small 2505 is the stronger model overall, scoring 34.3 to 31.9 on the Noometry Index.
Last verified . 2 shared benchmarks.
Mistral AISummary
- They share 2 benchmarks with published results for both. Devstral Small 2505 scores higher in 2 categories and Mistral Large in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in coding, where Devstral Small 2505 leads 38.9 to 34.3.
- The biggest single-benchmark swing is SciCode: 28.8% for Devstral Small 2505 and 36.2% for Mistral Large.
- Devstral Small 2505 is cheaper at $0.10 / $0.30 per million input/output tokens, against $2 / $6 for Mistral Large.
- Mistral Large accepts more context: 131K tokens versus 128K.
Side by side
| Devstral Small 2505 | Mistral Large | |
|---|---|---|
| Provider | Mistral AI | Mistral AI |
| Noometry Index | 34.3 | 31.9 |
| Released | 2025-05-07 | 2024-02-26 |
| Weights | Open | Open |
| Context window | 128K | 131K |
| Max output | 128K | 16K |
| Input $ / M tokens | $0.10 | $2 |
| Output $ / M tokens | $0.30 | $6 |
| Results tracked | 4 | 51 |
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Category by category
Coding Devstral Small 2505 leads
Devstral Small 2505: 38.9 (#166), Mistral Large: 34.3 (#240)
| Benchmark | Devstral Small 2505 | Mistral Large |
|---|---|---|
| SciCode | 28.8% | 36.2% |
| SWE-bench Verified (bash only) | 56.4% | — |
| BigCodeBench Instruct | — | 30% |
| LiveBench Coding | — | 47.1% |
| LMArena Coding | — | 1277 |
| BigCodeBench Complete | — | 38.3% |
| ALE-Bench | — | 264.7 |
| HumanEval+ | — | 62.2% |
| MBPP+ | — | 59.5% |
Agentic & Tool Use Not comparable
Devstral Small 2505: —, Mistral Large: 28.6 (#89)
| Benchmark | Devstral Small 2505 | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 38.4% |
Reasoning Devstral Small 2505 leads
Devstral Small 2505: 19.7 (#252), Mistral Large: 15.8 (#310)
| Benchmark | Devstral Small 2505 | Mistral Large |
|---|---|---|
| CritPt | 0% | 0% |
| SimpleBench | — | 22.5% |
| Kagi LLM Benchmark | 37.7% | — |
| LiveBench Reasoning | — | 43.5% |
| LMArena Hard Prompts | — | 1257 |
| DTBench | — | 65.1% |
| LiveBench Data Analysis | — | 50.1% |
| LMCA | — | 16.7% |
| Epoch Capabilities Index | — | 128.52 |
| ForecastBench | — | 57.1 |
| LiveBench | — | 48.4% |
Math Not comparable
Devstral Small 2505: —, Mistral Large: 18.2 (#291)
| Benchmark | Devstral Small 2505 | Mistral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 8.5% |
| Omni-MATH | — | 28.1% |
| LiveBench Math | — | 42.5% |
| LMArena Math | — | 1262 |
| MATH Level 5 | — | 50.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge Not comparable
Devstral Small 2505: —, Mistral Large: 30.1 (#230)
| Benchmark | Devstral Small 2505 | Mistral Large |
|---|---|---|
| GPQA Diamond | — | 51.3% |
| MMLU-Pro | — | 59.9% |
| Confabulations | — | 21.4% |
| Vectara Hallucination Rate | — | 4.5% |
| GPQA (HELM) | — | 43.5% |
| LMArena Expert | — | 1232 |
| MMLU | — | 80% |
Multilingual Not comparable
Devstral Small 2505: —, Mistral Large: 40.0 (#219)
| Benchmark | Devstral Small 2505 | Mistral Large |
|---|---|---|
| LMArena Non-English | — | 1237 |
| LMArena Chinese | — | 1240 |
| LMArena French | — | 1325 |
| LMArena German | — | 1254 |
| LMArena Japanese | — | 1188 |
| LMArena Korean | — | 1202 |
| LMArena Russian | — | 1257 |
| LMArena Spanish | — | 1268 |
Instruction Following Not comparable
Devstral Small 2505: —, Mistral Large: 67.9 (#191)
| Benchmark | Devstral Small 2505 | Mistral Large |
|---|---|---|
| LiveBench Instruction Following | — | 67.9% |
| IFEval | — | 87.7% |
| LMArena Instruction Following | — | 1249 |
Long Context Not comparable
Devstral Small 2505: —, Mistral Large: 38.3 (#199)
| Benchmark | Devstral Small 2505 | Mistral Large |
|---|---|---|
| LMArena Longer Query | — | 1261 |
Writing & Preference Not comparable
Devstral Small 2505: —, Mistral Large: 40.7 (#242)
| Benchmark | Devstral Small 2505 | Mistral Large |
|---|---|---|
| LMArena Text | — | 1266 |
| LMArena Creative Writing | — | 1243 |
| Short-Story Creative Writing | — | 69% |
| EQ-Bench Creative Writing | — | 985 |
| WildBench | — | 80.1% |
| LMArena Multi-Turn | — | 1260 |
| LiveBench Language | — | 39.4% |
Frequently asked questions
Is Devstral Small 2505 better than Mistral Large?
Devstral Small 2505 is the stronger model overall, scoring 34.3 to 31.9 on the Noometry Index.
Which is cheaper, Devstral Small 2505 or Mistral Large?
Devstral Small 2505 is cheaper. It lists at $0.10 per million input tokens and $0.30 per million output tokens; Mistral Large lists at $2 and $6.
Is Devstral Small 2505 or Mistral Large better for coding?
Devstral Small 2505 scores higher on coding benchmarks: 38.9 versus 34.3 in the Noometry coding category.
Which has the bigger context window?
Mistral Large does, with 131K tokens against 128K.
How many benchmarks do Devstral Small 2505 and Mistral Large share?
2 benchmarks have published results for both models. Devstral Small 2505 has 4 scored results on Noometry and Mistral Large has 51.