Model comparison
Devstral Small 2505 vs Llama 4 Maverick
Devstral Small 2505 is the stronger model overall, scoring 34.3 to 30.9 on the Noometry Index.
Last verified . 4 shared benchmarks.
Mistral AI
MetaSummary
- They share 4 benchmarks with published results for both. Devstral Small 2505 scores higher in 2 categories and Llama 4 Maverick in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in coding, where Devstral Small 2505 leads 38.9 to 26.6.
- The biggest single-benchmark swing is SWE-bench Verified (bash only): 56.4% for Devstral Small 2505 and 21% for Llama 4 Maverick.
- Devstral Small 2505 is cheaper at $0.10 / $0.30 per million input/output tokens, against $0.19 / $0.65 for Llama 4 Maverick.
Side by side
| Devstral Small 2505 | Llama 4 Maverick | |
|---|---|---|
| Provider | Mistral AI | Meta |
| Noometry Index | 34.3 | 30.9 |
| Released | 2025-05-07 | 2025-04-05 |
| Weights | Open | Open |
| Context window | 128K | 128K |
| Max output | 128K | 4K |
| Input $ / M tokens | $0.10 | $0.19 |
| Output $ / M tokens | $0.30 | $0.65 |
| Results tracked | 4 | 54 |
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Category by category
Coding Devstral Small 2505 leads
Devstral Small 2505: 38.9 (#166), Llama 4 Maverick: 26.6 (#324)
| Benchmark | Devstral Small 2505 | Llama 4 Maverick |
|---|---|---|
| SWE-bench Verified (bash only) | 56.4% | 21% |
| SciCode | 28.8% | 33.1% |
| Aider Polyglot | — | 15.6% |
| WeirdML | — | 24.5% |
| BigCodeBench Instruct | — | 49.7% |
| LMArena Coding | — | 1302 |
| BigCodeBench Complete | — | 61.4% |
| ALE-Bench | — | 172.97 |
Agentic & Tool Use Not comparable
Devstral Small 2505: —, Llama 4 Maverick: 28.2 (#91)
| Benchmark | Devstral Small 2505 | Llama 4 Maverick |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.3% |
Reasoning Devstral Small 2505 leads
Devstral Small 2505: 19.7 (#252), Llama 4 Maverick: 10.1 (#342)
| Benchmark | Devstral Small 2505 | Llama 4 Maverick |
|---|---|---|
| Kagi LLM Benchmark | 37.7% | 55.9% |
| CritPt | 0% | 0% |
| ARC-AGI-2 | — | 0% |
| SimpleBench | — | 27.7% |
| NYT Connections (extended) | — | 8% |
| ARC-AGI-1 | — | 4.4% |
| EnigmaEval | — | 0.6% |
| LMArena Hard Prompts | — | 1281 |
| DTBench | — | 61.9% |
| LMCA | — | 15.9% |
| Epoch Capabilities Index | — | 132.2 |
| ForecastBench | — | 57.5 |
Math Not comparable
Devstral Small 2505: —, Llama 4 Maverick: 26.0 (#262)
| Benchmark | Devstral Small 2505 | Llama 4 Maverick |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 20.6% |
| Omni-MATH | — | 42.2% |
| LMArena Math | — | 1299 |
| MATH Level 5 | — | 73% |
| FrontierMath (Feb 2025 set) | — | 0.7% |
Knowledge Not comparable
Devstral Small 2505: —, Llama 4 Maverick: 33.4 (#204)
| Benchmark | Devstral Small 2505 | Llama 4 Maverick |
|---|---|---|
| GPQA Diamond | — | 67% |
| Humanity's Last Exam | — | 5.7% |
| MMLU-Pro | — | 81% |
| Confabulations | — | 22.6% |
| Vectara Hallucination Rate | — | 8.2% |
| GPQA (HELM) | — | 65% |
| LMArena Expert | — | 1259 |
Multimodal Not comparable
Devstral Small 2505: —, Llama 4 Maverick: 31.6 (#105)
| Benchmark | Devstral Small 2505 | Llama 4 Maverick |
|---|---|---|
| LMArena Vision | — | 1142 |
| GeoBench | — | 52% |
| SpatialViz-Bench | — | 31.8% |
Multilingual Not comparable
Devstral Small 2505: —, Llama 4 Maverick: 42.2 (#195)
| Benchmark | Devstral Small 2505 | Llama 4 Maverick |
|---|---|---|
| LMArena Non-English | — | 1269 |
| LMArena Chinese | — | 1277 |
| LMArena French | — | 1259 |
| LMArena German | — | 1291 |
| LMArena Japanese | — | 1207 |
| LMArena Korean | — | 1203 |
| LMArena Russian | — | 1286 |
| LMArena Spanish | — | 1293 |
Instruction Following Not comparable
Devstral Small 2505: —, Llama 4 Maverick: 71.7 (#146)
| Benchmark | Devstral Small 2505 | Llama 4 Maverick |
|---|---|---|
| IFEval | — | 90.8% |
| LMArena Instruction Following | — | 1267 |
Long Context Not comparable
Devstral Small 2505: —, Llama 4 Maverick: 31.4 (#279)
| Benchmark | Devstral Small 2505 | Llama 4 Maverick |
|---|---|---|
| Fiction.LiveBench | — | 46.2% |
| LMArena Longer Query | — | 1280 |
Writing & Preference Not comparable
Devstral Small 2505: —, Llama 4 Maverick: 38.8 (#252)
| Benchmark | Devstral Small 2505 | Llama 4 Maverick |
|---|---|---|
| LMArena Text | — | 1287 |
| LMArena Creative Writing | — | 1267 |
| Short-Story Creative Writing | — | 62% |
| EQ-Bench Creative Writing | — | 860 |
| WildBench | — | 80% |
| LMArena Multi-Turn | — | 1289 |
Frequently asked questions
Is Devstral Small 2505 better than Llama 4 Maverick?
Devstral Small 2505 is the stronger model overall, scoring 34.3 to 30.9 on the Noometry Index.
Which is cheaper, Devstral Small 2505 or Llama 4 Maverick?
Devstral Small 2505 is cheaper. It lists at $0.10 per million input tokens and $0.30 per million output tokens; Llama 4 Maverick lists at $0.19 and $0.65.
Is Devstral Small 2505 or Llama 4 Maverick better for coding?
Devstral Small 2505 scores higher on coding benchmarks: 38.9 versus 26.6 in the Noometry coding category.
Which has the bigger context window?
Both accept 128K tokens.
How many benchmarks do Devstral Small 2505 and Llama 4 Maverick share?
4 benchmarks have published results for both models. Devstral Small 2505 has 4 scored results on Noometry and Llama 4 Maverick has 54.