Model comparison
Llama 2-13B vs Pixtral Large
Pixtral Large is the stronger model overall, scoring 32.2 to 29.6 on the Noometry Index.
Last verified . 0 shared benchmarks.
Meta
Mistral AISummary
- The widest gap is in reasoning, where Pixtral Large leads 21.7 to 12.8.
Side by side
| Llama 2-13B | Pixtral Large | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 29.6 | 32.2 |
| Released | 2023-07-18 | 2024-11-01 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 128K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 32 | 3 |
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Category by category
Coding Not comparable
Llama 2-13B: 30.9 (#291), Pixtral Large: —
| Benchmark | Llama 2-13B | Pixtral Large |
|---|---|---|
| LMArena Coding | 1062 | — |
Reasoning Pixtral Large leads
Llama 2-13B: 12.8 (#337), Pixtral Large: 21.7 (#218)
| Benchmark | Llama 2-13B | Pixtral Large |
|---|---|---|
| Chess Puzzles | 0% | — |
| EnigmaEval | — | 0.8% |
| 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), Pixtral Large: —
| Benchmark | Llama 2-13B | Pixtral Large |
|---|---|---|
| LMArena Math | 1065 | — |
| GSM8K | 36.9% | — |
Knowledge Not comparable
Llama 2-13B: 28.1 (#249), Pixtral Large: —
| Benchmark | Llama 2-13B | Pixtral Large |
|---|---|---|
| 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: —, Pixtral Large: 30.6 (#111)
| Benchmark | Llama 2-13B | Pixtral Large |
|---|---|---|
| LMArena Vision | — | 1089 |
| ScienceQA | 55.8% | — |
Multilingual Not comparable
Llama 2-13B: 26.5 (#279), Pixtral Large: —
| Benchmark | Llama 2-13B | Pixtral Large |
|---|---|---|
| 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), Pixtral Large: —
| Benchmark | Llama 2-13B | Pixtral Large |
|---|---|---|
| LMArena Instruction Following | 1045 | — |
Long Context Not comparable
Llama 2-13B: 32.3 (#269), Pixtral Large: —
| Benchmark | Llama 2-13B | Pixtral Large |
|---|---|---|
| LMArena Longer Query | 1064 | — |
Writing & Preference Pixtral Large leads
Llama 2-13B: 29.8 (#289), Pixtral Large: 32.9 (#278)
| Benchmark | Llama 2-13B | Pixtral Large |
|---|---|---|
| LMArena Text | 1084 | — |
| LMArena Creative Writing | 1047 | — |
| EQ-Bench Creative Writing | — | 988 |
| LMArena Multi-Turn | 1050 | — |
Frequently asked questions
Is Llama 2-13B better than Pixtral Large?
Pixtral Large is the stronger model overall, scoring 32.2 to 29.6 on the Noometry Index.
How many benchmarks do Llama 2-13B and Pixtral Large share?
0 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Pixtral Large has 3.