Model comparison
Llama 2-13B vs Mistral Medium 3.1
Mistral Medium 3.1 is the stronger model overall, scoring 31.9 to 29.6 on the Noometry Index.
Last verified . 0 shared benchmarks.
Meta
Mistral AISummary
- The widest gap is in writing & preference, where Mistral Medium 3.1 leads 55.5 to 29.8.
- Llama 2-13B has downloadable open weights; the other is API-only.
Side by side
| Llama 2-13B | Mistral Medium 3.1 | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 29.6 | 31.9 |
| Released | 2023-07-18 | — |
| Weights | Open | Proprietary |
| Context window | — | 131K |
| Max output | — | 105K |
| Input $ / M tokens | — | $0.40 |
| Output $ / M tokens | — | $2 |
| Results tracked | 32 | 3 |
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Category by category
Coding Not comparable
Llama 2-13B: 30.9 (#291), Mistral Medium 3.1: —
| Benchmark | Llama 2-13B | Mistral Medium 3.1 |
|---|---|---|
| LMArena Coding | 1062 | — |
Reasoning Llama 2-13B leads
Llama 2-13B: 12.8 (#337), Mistral Medium 3.1: 10.6 (#341)
| Benchmark | Llama 2-13B | Mistral Medium 3.1 |
|---|---|---|
| NYT Connections (extended) | — | 6.5% |
| Chess Puzzles | 0% | — |
| Thematic Generalization | — | 20.3% |
| 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
Llama 2-13B: 31.1 (#229), Mistral Medium 3.1: —
| Benchmark | Llama 2-13B | Mistral Medium 3.1 |
|---|---|---|
| LMArena Math | 1065 | — |
| GSM8K | 36.9% | — |
Knowledge Not comparable
Llama 2-13B: 28.1 (#249), Mistral Medium 3.1: —
| Benchmark | Llama 2-13B | Mistral Medium 3.1 |
|---|---|---|
| LMArena Expert | 1030 | — |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| MMLU | 55.6% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |
Multimodal Not comparable
Llama 2-13B: —, Mistral Medium 3.1: —
| Benchmark | Llama 2-13B | Mistral Medium 3.1 |
|---|---|---|
| ScienceQA | 55.8% | — |
Multilingual Not comparable
Llama 2-13B: 26.5 (#279), Mistral Medium 3.1: —
| Benchmark | Llama 2-13B | Mistral Medium 3.1 |
|---|---|---|
| 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
Llama 2-13B: 53.3 (#287), Mistral Medium 3.1: —
| Benchmark | Llama 2-13B | Mistral Medium 3.1 |
|---|---|---|
| LMArena Instruction Following | 1045 | — |
Long Context Not comparable
Llama 2-13B: 32.3 (#269), Mistral Medium 3.1: —
| Benchmark | Llama 2-13B | Mistral Medium 3.1 |
|---|---|---|
| LMArena Longer Query | 1064 | — |
Writing & Preference Mistral Medium 3.1 leads
Llama 2-13B: 29.8 (#289), Mistral Medium 3.1: 55.5 (#145)
| Benchmark | Llama 2-13B | Mistral Medium 3.1 |
|---|---|---|
| LMArena Text | 1084 | — |
| LMArena Creative Writing | 1047 | — |
| EQ-Bench Creative Writing | — | 1476 |
| LMArena Multi-Turn | 1050 | — |
Frequently asked questions
Is Llama 2-13B better than Mistral Medium 3.1?
Mistral Medium 3.1 is the stronger model overall, scoring 31.9 to 29.6 on the Noometry Index.
How many benchmarks do Llama 2-13B and Mistral Medium 3.1 share?
0 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Mistral Medium 3.1 has 3.