Model comparison
Llama 2-13B vs Mistral Medium 3.5
Mistral Medium 3.5 is the stronger model overall, scoring 40.2 to 29.6 on the Noometry Index.
Last verified . 17 shared benchmarks.
Meta
Mistral AISummary
- They share 17 benchmarks with published results for both. Llama 2-13B scores higher in 0 categories and Mistral Medium 3.5 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Medium 3.5 leads 58.5 to 29.8.
Side by side
| Llama 2-13B | Mistral Medium 3.5 | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 29.6 | 40.2 |
| Released | 2023-07-18 | — |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 210K |
| Input $ / M tokens | — | $1.50 |
| Output $ / M tokens | — | $7.50 |
| Results tracked | 32 | 22 |
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Category by category
Coding Mistral Medium 3.5 leads
Llama 2-13B: 30.9 (#291), Mistral Medium 3.5: 36.0 (#213)
| Benchmark | Llama 2-13B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Coding | 1062 | 1461 |
| LMArena WebDev | — | 1264 |
Reasoning Mistral Medium 3.5 leads
Llama 2-13B: 12.8 (#337), Mistral Medium 3.5: 17.3 (#295)
| Benchmark | Llama 2-13B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Hard Prompts | 1051 | 1436 |
| Epoch Capabilities Index | 106.17 | 141.35 |
| Kagi LLM Benchmark | — | 41.4% |
| NYT Connections (extended) | — | 12.9% |
| Chess Puzzles | 0% | — |
| DTBench | 42.2% | — |
| BIG-Bench Hard | 58.2% | — |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |
Math Mistral Medium 3.5 leads
Llama 2-13B: 31.1 (#229), Mistral Medium 3.5: 39.1 (#113)
| Benchmark | Llama 2-13B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | 1065 | 1431 |
| GSM8K | 36.9% | — |
Knowledge Mistral Medium 3.5 leads
Llama 2-13B: 28.1 (#249), Mistral Medium 3.5: 40.0 (#126)
| Benchmark | Llama 2-13B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | 1030 | 1432 |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| MMLU | 55.6% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |
Multimodal Not comparable
Llama 2-13B: —, Mistral Medium 3.5: 38.3 (#65)
| Benchmark | Llama 2-13B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | — | 1223 |
| ScienceQA | 55.8% | — |
Multilingual Mistral Medium 3.5 leads
Llama 2-13B: 26.5 (#279), Mistral Medium 3.5: 51.9 (#100)
| Benchmark | Llama 2-13B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | 1024 | 1404 |
| LMArena Chinese | 1001 | 1442 |
| LMArena French | 1044 | 1448 |
| LMArena German | 1009 | 1451 |
| LMArena Korean | 953 | 1385 |
| LMArena Russian | 1055 | 1395 |
| LMArena Spanish | 1087 | 1409 |
| LMArena Japanese | 894 | — |
Instruction Following Mistral Medium 3.5 leads
Llama 2-13B: 53.3 (#287), Mistral Medium 3.5: 74.6 (#90)
| Benchmark | Llama 2-13B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | 1045 | 1415 |
Long Context Mistral Medium 3.5 leads
Llama 2-13B: 32.3 (#269), Mistral Medium 3.5: 43.2 (#103)
| Benchmark | Llama 2-13B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | 1064 | 1415 |
Writing & Preference Mistral Medium 3.5 leads
Llama 2-13B: 29.8 (#289), Mistral Medium 3.5: 58.5 (#117)
| Benchmark | Llama 2-13B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | 1084 | 1421 |
| LMArena Creative Writing | 1047 | 1374 |
| LMArena Multi-Turn | 1050 | 1423 |
| EQ-Bench 4 | — | 993 |
Frequently asked questions
Is Llama 2-13B better than Mistral Medium 3.5?
Mistral Medium 3.5 is the stronger model overall, scoring 40.2 to 29.6 on the Noometry Index.
Is Llama 2-13B or Mistral Medium 3.5 better for coding?
Mistral Medium 3.5 scores higher on coding benchmarks: 36.0 versus 30.9 in the Noometry coding category.
How many benchmarks do Llama 2-13B and Mistral Medium 3.5 share?
17 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Mistral Medium 3.5 has 22.