Model comparison
Llama 2-13B vs Mistral Small
Mistral Small is the stronger model overall, scoring 33.4 to 29.6 on the Noometry Index.
Last verified . 19 shared benchmarks.
Meta
Mistral AISummary
- They share 19 benchmarks with published results for both. Llama 2-13B scores higher in 1 category and Mistral Small in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Small leads 52.5 to 29.8.
- The biggest single-benchmark swing is DTBench: 42.2% for Llama 2-13B and 70.9% for Mistral Small.
Side by side
| Llama 2-13B | Mistral Small | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 29.6 | 33.4 |
| Released | 2023-07-18 | 2024-02-26 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 256K |
| Input $ / M tokens | — | $0.15 |
| Output $ / M tokens | — | $0.60 |
| Results tracked | 32 | 39 |
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Category by category
Coding Mistral Small leads
Llama 2-13B: 30.9 (#291), Mistral Small: 34.0 (#247)
| Benchmark | Llama 2-13B | Mistral Small |
|---|---|---|
| LMArena Coding | 1062 | 1362 |
| SciCode | — | 26.5% |
| BigCodeBench Instruct | — | 36.1% |
| LiveBench Coding | — | 36.2% |
| BigCodeBench Complete | — | 46.6% |
| ALE-Bench | — | 497.62 |
Agentic & Tool Use Not comparable
Llama 2-13B: —, Mistral Small: 28.1 (#93)
| Benchmark | Llama 2-13B | Mistral Small |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.1% |
Reasoning Mistral Small leads
Llama 2-13B: 12.8 (#337), Mistral Small: 19.8 (#250)
| Benchmark | Llama 2-13B | Mistral Small |
|---|---|---|
| LMArena Hard Prompts | 1051 | 1335 |
| DTBench | 42.2% | 70.9% |
| Kagi LLM Benchmark | — | 37.8% |
| CritPt | — | 0% |
| Chess Puzzles | 0% | — |
| LiveBench Reasoning | — | 44.8% |
| LiveBench Data Analysis | — | 53.7% |
| LMCA | — | 20.6% |
| BIG-Bench Hard | 58.2% | — |
| Epoch Capabilities Index | 106.17 | — |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| LiveBench | — | 44% |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |
Math Llama 2-13B leads
Llama 2-13B: 31.1 (#229), Mistral Small: 16.4 (#293)
| Benchmark | Llama 2-13B | Mistral Small |
|---|---|---|
| LMArena Math | 1065 | 1341 |
| OTIS Mock AIME 2024-2025 | — | 5.8% |
| LiveBench Math | — | 39.9% |
| MATH Level 5 | — | 46.8% |
| GSM8K | 36.9% | — |
Knowledge Mistral Small leads
Llama 2-13B: 28.1 (#249), Mistral Small: 31.0 (#222)
| Benchmark | Llama 2-13B | Mistral Small |
|---|---|---|
| LMArena Expert | 1030 | 1291 |
| MMLU | 55.6% | 68.7% |
| GPQA Diamond | — | 47.5% |
| Vectara Hallucination Rate | — | 5.1% |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |
Multimodal Not comparable
Llama 2-13B: —, Mistral Small: 33.5 (#96)
| Benchmark | Llama 2-13B | Mistral Small |
|---|---|---|
| LMArena Vision | — | 1142 |
| ScienceQA | 55.8% | — |
Multilingual Mistral Small leads
Llama 2-13B: 26.5 (#279), Mistral Small: 45.5 (#169)
| Benchmark | Llama 2-13B | Mistral Small |
|---|---|---|
| LMArena Non-English | 1024 | 1315 |
| LMArena Chinese | 1001 | 1340 |
| LMArena French | 1044 | 1337 |
| LMArena German | 1009 | 1340 |
| LMArena Japanese | 894 | 1275 |
| LMArena Korean | 953 | 1259 |
| LMArena Russian | 1055 | 1324 |
| LMArena Spanish | 1087 | 1346 |
Instruction Following Mistral Small leads
Llama 2-13B: 53.3 (#287), Mistral Small: 66.4 (#209)
| Benchmark | Llama 2-13B | Mistral Small |
|---|---|---|
| LMArena Instruction Following | 1045 | 1310 |
| LiveBench Instruction Following | — | 63.7% |
Long Context Mistral Small leads
Llama 2-13B: 32.3 (#269), Mistral Small: 40.4 (#156)
| Benchmark | Llama 2-13B | Mistral Small |
|---|---|---|
| LMArena Longer Query | 1064 | 1327 |
Writing & Preference Mistral Small leads
Llama 2-13B: 29.8 (#289), Mistral Small: 52.5 (#171)
| Benchmark | Llama 2-13B | Mistral Small |
|---|---|---|
| LMArena Text | 1084 | 1338 |
| LMArena Creative Writing | 1047 | 1305 |
| LMArena Multi-Turn | 1050 | 1344 |
| LiveBench Language | — | 30.5% |
Frequently asked questions
Is Llama 2-13B better than Mistral Small?
Mistral Small is the stronger model overall, scoring 33.4 to 29.6 on the Noometry Index.
Is Llama 2-13B or Mistral Small better for coding?
Mistral Small scores higher on coding benchmarks: 34.0 versus 30.9 in the Noometry coding category.
How many benchmarks do Llama 2-13B and Mistral Small share?
19 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Mistral Small has 39.