Model comparison
Llama 13b 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 . 9 shared benchmarks.
Summary
- They share 9 benchmarks with published results for both. Llama 13b scores higher in 0 categories and Mistral Medium 3.5 in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Medium 3.5 leads 58.5 to 13.8.
Side by side
| Llama 13b | Mistral Medium 3.5 | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 24.4 | 40.2 |
| Released | 2023-02-24 | — |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 210K |
| Input $ / M tokens | — | $1.50 |
| Output $ / M tokens | — | $7.50 |
| Results tracked | 21 | 22 |
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Category by category
Coding Mistral Medium 3.5 leads
Llama 13b: 21.4 (#337), Mistral Medium 3.5: 36.0 (#213)
| Benchmark | Llama 13b | Mistral Medium 3.5 |
|---|---|---|
| LMArena Coding | 683 | 1461 |
| LMArena WebDev | — | 1264 |
Reasoning Mistral Medium 3.5 leads
Llama 13b: 14.0 (#329), Mistral Medium 3.5: 17.3 (#295)
| Benchmark | Llama 13b | Mistral Medium 3.5 |
|---|---|---|
| LMArena Hard Prompts | 728 | 1436 |
| Epoch Capabilities Index | 100.58 | 141.35 |
| Kagi LLM Benchmark | — | 41.4% |
| NYT Connections (extended) | — | 12.9% |
| BIG-Bench Hard | 37.9% | — |
| HellaSwag | 79.2% | — |
| LAMBADA | 75.2% | — |
| PIQA | 80.1% | — |
| WinoGrande | 73% | — |
Math Mistral Medium 3.5 leads
Llama 13b: 26.7 (#256), Mistral Medium 3.5: 39.1 (#113)
| Benchmark | Llama 13b | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | 838 | 1431 |
| GSM8K | 20.6% | — |
Knowledge Not comparable
Llama 13b: —, Mistral Medium 3.5: 40.0 (#126)
| Benchmark | Llama 13b | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | — | 1432 |
| ARC (AI2) Challenge | 52.7% | — |
| BoolQ | 78.7% | — |
| MMLU | 47.7% | — |
| OpenBookQA | 56.4% | — |
| TriviaQA | 77.9% | — |
Multimodal Not comparable
Llama 13b: —, Mistral Medium 3.5: 38.3 (#65)
| Benchmark | Llama 13b | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | — | 1223 |
| ScienceQA | 43.3% | — |
Multilingual Mistral Medium 3.5 leads
Llama 13b: 16.6 (#297), Mistral Medium 3.5: 51.9 (#100)
| Benchmark | Llama 13b | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | 819 | 1404 |
| LMArena Chinese | — | 1442 |
| LMArena French | — | 1448 |
| LMArena German | — | 1451 |
| LMArena Korean | — | 1385 |
| LMArena Russian | — | 1395 |
| LMArena Spanish | — | 1409 |
Instruction Following Mistral Medium 3.5 leads
Llama 13b: 36.7 (#305), Mistral Medium 3.5: 74.6 (#90)
| Benchmark | Llama 13b | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | 781 | 1415 |
Long Context Not comparable
Llama 13b: —, Mistral Medium 3.5: 43.2 (#103)
| Benchmark | Llama 13b | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | — | 1415 |
Writing & Preference Mistral Medium 3.5 leads
Llama 13b: 13.8 (#312), Mistral Medium 3.5: 58.5 (#117)
| Benchmark | Llama 13b | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | 834 | 1421 |
| LMArena Creative Writing | 794 | 1374 |
| LMArena Multi-Turn | 753 | 1423 |
| EQ-Bench 4 | — | 993 |
Frequently asked questions
Is Llama 13b 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 13b or Mistral Medium 3.5 better for coding?
Mistral Medium 3.5 scores higher on coding benchmarks: 36.0 versus 21.4 in the Noometry coding category.
How many benchmarks do Llama 13b and Mistral Medium 3.5 share?
9 benchmarks have published results for both models. Llama 13b has 21 scored results on Noometry and Mistral Medium 3.5 has 22.