Model comparison
Devstral Small 2505 vs Llama 2-13B
Devstral Small 2505 is the stronger model overall, scoring 34.3 to 29.6 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AI
MetaSummary
- The widest gap is in coding, where Devstral Small 2505 leads 38.9 to 30.9.
Side by side
| Devstral Small 2505 | Llama 2-13B | |
|---|---|---|
| Provider | Mistral AI | Meta |
| Noometry Index | 34.3 | 29.6 |
| Released | 2025-05-07 | 2023-07-18 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.10 | — |
| Output $ / M tokens | $0.30 | — |
| Results tracked | 4 | 32 |
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Category by category
Coding Devstral Small 2505 leads
Devstral Small 2505: 38.9 (#166), Llama 2-13B: 30.9 (#291)
| Benchmark | Devstral Small 2505 | Llama 2-13B |
|---|---|---|
| SWE-bench Verified (bash only) | 56.4% | — |
| SciCode | 28.8% | — |
| LMArena Coding | — | 1062 |
Reasoning Devstral Small 2505 leads
Devstral Small 2505: 19.7 (#252), Llama 2-13B: 12.8 (#337)
| Benchmark | Devstral Small 2505 | Llama 2-13B |
|---|---|---|
| Kagi LLM Benchmark | 37.7% | — |
| CritPt | 0% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | — | 1051 |
| DTBench | — | 42.2% |
| BIG-Bench Hard | — | 58.2% |
| Epoch Capabilities Index | — | 106.17 |
| HellaSwag | — | 80.7% |
| LAMBADA | — | 76.5% |
| PIQA | — | 80.8% |
| WinoGrande | — | 72.8% |
Math Not comparable
Devstral Small 2505: —, Llama 2-13B: 31.1 (#229)
| Benchmark | Devstral Small 2505 | Llama 2-13B |
|---|---|---|
| LMArena Math | — | 1065 |
| GSM8K | — | 36.9% |
Knowledge Not comparable
Devstral Small 2505: —, Llama 2-13B: 28.1 (#249)
| Benchmark | Devstral Small 2505 | Llama 2-13B |
|---|---|---|
| LMArena Expert | — | 1030 |
| ARC (AI2) Challenge | — | 60.3% |
| BoolQ | — | 82.4% |
| MMLU | — | 55.6% |
| OpenBookQA | — | 57% |
| TriviaQA | — | 79.6% |
Multimodal Not comparable
Devstral Small 2505: —, Llama 2-13B: —
| Benchmark | Devstral Small 2505 | Llama 2-13B |
|---|---|---|
| ScienceQA | — | 55.8% |
Multilingual Not comparable
Devstral Small 2505: —, Llama 2-13B: 26.5 (#279)
| Benchmark | Devstral Small 2505 | Llama 2-13B |
|---|---|---|
| LMArena Non-English | — | 1024 |
| LMArena Chinese | — | 1001 |
| LMArena French | — | 1044 |
| LMArena German | — | 1009 |
| LMArena Japanese | — | 894 |
| LMArena Korean | — | 953 |
| LMArena Russian | — | 1055 |
| LMArena Spanish | — | 1087 |
Instruction Following Not comparable
Devstral Small 2505: —, Llama 2-13B: 53.3 (#287)
| Benchmark | Devstral Small 2505 | Llama 2-13B |
|---|---|---|
| LMArena Instruction Following | — | 1045 |
Long Context Not comparable
Devstral Small 2505: —, Llama 2-13B: 32.3 (#269)
| Benchmark | Devstral Small 2505 | Llama 2-13B |
|---|---|---|
| LMArena Longer Query | — | 1064 |
Writing & Preference Not comparable
Devstral Small 2505: —, Llama 2-13B: 29.8 (#289)
| Benchmark | Devstral Small 2505 | Llama 2-13B |
|---|---|---|
| LMArena Text | — | 1084 |
| LMArena Creative Writing | — | 1047 |
| LMArena Multi-Turn | — | 1050 |
Frequently asked questions
Is Devstral Small 2505 better than Llama 2-13B?
Devstral Small 2505 is the stronger model overall, scoring 34.3 to 29.6 on the Noometry Index.
Is Devstral Small 2505 or Llama 2-13B better for coding?
Devstral Small 2505 scores higher on coding benchmarks: 38.9 versus 30.9 in the Noometry coding category.
How many benchmarks do Devstral Small 2505 and Llama 2-13B share?
0 benchmarks have published results for both models. Devstral Small 2505 has 4 scored results on Noometry and Llama 2-13B has 32.