Model comparison
Llama 2-70B vs Mistral Medium 3.5
Mistral Medium 3.5 is the stronger model overall, scoring 40.2 to 24.4 on the Noometry Index.
Last verified . 17 shared benchmarks.
Meta
Mistral AISummary
- They share 17 benchmarks with published results for both. Llama 2-70B 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 knowledge, where Mistral Medium 3.5 leads 40.0 to 7.4.
Side by side
| Llama 2-70B | Mistral Medium 3.5 | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 24.4 | 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 | 35 | 22 |
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Category by category
Coding Mistral Medium 3.5 leads
Llama 2-70B: 31.4 (#286), Mistral Medium 3.5: 36.0 (#213)
| Benchmark | Llama 2-70B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Coding | 1079 | 1461 |
| LMArena WebDev | — | 1264 |
Reasoning Mistral Medium 3.5 leads
Llama 2-70B: 14.4 (#325), Mistral Medium 3.5: 17.3 (#295)
| Benchmark | Llama 2-70B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Hard Prompts | 1073 | 1436 |
| Epoch Capabilities Index | 113.79 | 141.35 |
| Kagi LLM Benchmark | — | 41.4% |
| NYT Connections (extended) | — | 12.9% |
| DTBench | 41.6% | — |
| BIG-Bench Hard | 64.9% | — |
| CommonsenseQA 2.0 | 50% | — |
| ForecastBench | 51.4 | — |
| HellaSwag | 85.3% | — |
| LAMBADA | 78.9% | — |
| PIQA | 82.8% | — |
| WinoGrande | 80.2% | — |
Math Mistral Medium 3.5 leads
Llama 2-70B: 8.1 (#326), Mistral Medium 3.5: 39.1 (#113)
| Benchmark | Llama 2-70B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | 1091 | 1431 |
| OTIS Mock AIME 2024-2025 | 0% | — |
| MATH Level 5 | 3.3% | — |
| GSM8K | 69.6% | — |
Knowledge Mistral Medium 3.5 leads
Llama 2-70B: 7.4 (#310), Mistral Medium 3.5: 40.0 (#126)
| Benchmark | Llama 2-70B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | 1039 | 1432 |
| GPQA Diamond | 26.3% | — |
| ARC (AI2) Challenge | 78.3% | — |
| BoolQ | 88.6% | — |
| MMLU | 69.9% | — |
| OpenBookQA | 60.2% | — |
| TriviaQA | 87.6% | — |
Multimodal Not comparable
Llama 2-70B: —, Mistral Medium 3.5: 38.3 (#65)
| Benchmark | Llama 2-70B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | — | 1223 |
Multilingual Mistral Medium 3.5 leads
Llama 2-70B: 27.7 (#274), Mistral Medium 3.5: 51.9 (#100)
| Benchmark | Llama 2-70B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | 1045 | 1404 |
| LMArena Chinese | 995 | 1442 |
| LMArena French | 1090 | 1448 |
| LMArena German | 1041 | 1451 |
| LMArena Korean | 964 | 1385 |
| LMArena Russian | 1083 | 1395 |
| LMArena Spanish | 1143 | 1409 |
| LMArena Japanese | 927 | — |
Instruction Following Mistral Medium 3.5 leads
Llama 2-70B: 54.9 (#278), Mistral Medium 3.5: 74.6 (#90)
| Benchmark | Llama 2-70B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | 1071 | 1415 |
Long Context Mistral Medium 3.5 leads
Llama 2-70B: 32.3 (#270), Mistral Medium 3.5: 43.2 (#103)
| Benchmark | Llama 2-70B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | 1062 | 1415 |
Writing & Preference Mistral Medium 3.5 leads
Llama 2-70B: 32.3 (#279), Mistral Medium 3.5: 58.5 (#117)
| Benchmark | Llama 2-70B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | 1115 | 1421 |
| LMArena Creative Writing | 1075 | 1374 |
| LMArena Multi-Turn | 1088 | 1423 |
| EQ-Bench 4 | — | 993 |
Frequently asked questions
Is Llama 2-70B better than Mistral Medium 3.5?
Mistral Medium 3.5 is the stronger model overall, scoring 40.2 to 24.4 on the Noometry Index.
Is Llama 2-70B or Mistral Medium 3.5 better for coding?
Mistral Medium 3.5 scores higher on coding benchmarks: 36.0 versus 31.4 in the Noometry coding category.
How many benchmarks do Llama 2-70B and Mistral Medium 3.5 share?
17 benchmarks have published results for both models. Llama 2-70B has 35 scored results on Noometry and Mistral Medium 3.5 has 22.