Model comparison
Llama 13b vs Mixtral 8x7B
Mixtral 8x7B is the stronger model overall, scoring 27.1 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 13b scores higher in 1 category and Mixtral 8x7B in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mixtral 8x7B leads 34.2 to 13.8.
Side by side
| Llama 13b | Mixtral 8x7B | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 24.4 | 27.1 |
| Released | 2023-02-24 | 2023-12-11 |
| Weights | Open | Open |
| Context window | — | 32K |
| Max output | — | 32K |
| Input $ / M tokens | — | $0.70 |
| Output $ / M tokens | — | $0.70 |
| Results tracked | 21 | 38 |
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Category by category
Coding Mixtral 8x7B leads
Llama 13b: 21.4 (#337), Mixtral 8x7B: 32.8 (#269)
| Benchmark | Llama 13b | Mixtral 8x7B |
|---|---|---|
| LMArena Coding | 683 | 1126 |
| HumanEval+ | — | 39.6% |
| MBPP+ | — | 49.7% |
Reasoning Mixtral 8x7B leads
Llama 13b: 14.0 (#329), Mixtral 8x7B: 18.2 (#285)
| Benchmark | Llama 13b | Mixtral 8x7B |
|---|---|---|
| LMArena Hard Prompts | 728 | 1115 |
| Epoch Capabilities Index | 100.58 | 118.47 |
| HellaSwag | 79.2% | 86.7% |
| PIQA | 80.1% | 83.6% |
| WinoGrande | 73% | 77.2% |
| DTBench | — | 49.6% |
| Adversarial NLI | — | 55.2% |
| BIG-Bench Hard | 37.9% | — |
| ForecastBench | — | 56.3 |
| LAMBADA | 75.2% | — |
Math Llama 13b leads
Llama 13b: 26.7 (#256), Mixtral 8x7B: 18.8 (#289)
| Benchmark | Llama 13b | Mixtral 8x7B |
|---|---|---|
| LMArena Math | 838 | 1147 |
| GSM8K | 20.6% | 74.4% |
| Omni-MATH | — | 10.5% |
| MATH Level 5 | — | 10% |
Knowledge Not comparable
Llama 13b: —, Mixtral 8x7B: 11.0 (#301)
| Benchmark | Llama 13b | Mixtral 8x7B |
|---|---|---|
| ARC (AI2) Challenge | 52.7% | 87.3% |
| MMLU | 47.7% | 70.6% |
| OpenBookQA | 56.4% | 85.8% |
| TriviaQA | 77.9% | 82.2% |
| GPQA Diamond | — | 30.6% |
| MMLU-Pro | — | 33.5% |
| GPQA (HELM) | — | 29.6% |
| LMArena Expert | — | 1088 |
| BoolQ | 78.7% | — |
Multimodal Not comparable
Llama 13b: —, Mixtral 8x7B: —
| Benchmark | Llama 13b | Mixtral 8x7B |
|---|---|---|
| ScienceQA | 43.3% | — |
Multilingual Mixtral 8x7B leads
Llama 13b: 16.6 (#297), Mixtral 8x7B: 29.6 (#266)
| Benchmark | Llama 13b | Mixtral 8x7B |
|---|---|---|
| LMArena Non-English | 819 | 1077 |
| LMArena Chinese | — | 1055 |
| LMArena French | — | 1166 |
| LMArena German | — | 1114 |
| LMArena Japanese | — | 931 |
| LMArena Korean | — | 968 |
| LMArena Russian | — | 1090 |
| LMArena Spanish | — | 1111 |
Instruction Following Mixtral 8x7B leads
Llama 13b: 36.7 (#305), Mixtral 8x7B: 51.0 (#297)
| Benchmark | Llama 13b | Mixtral 8x7B |
|---|---|---|
| LMArena Instruction Following | 781 | 1109 |
| IFEval | — | 57.5% |
Long Context Not comparable
Llama 13b: —, Mixtral 8x7B: 33.4 (#260)
| Benchmark | Llama 13b | Mixtral 8x7B |
|---|---|---|
| LMArena Longer Query | — | 1103 |
Writing & Preference Mixtral 8x7B leads
Llama 13b: 13.8 (#312), Mixtral 8x7B: 34.2 (#270)
| Benchmark | Llama 13b | Mixtral 8x7B |
|---|---|---|
| LMArena Text | 834 | 1132 |
| LMArena Creative Writing | 794 | 1109 |
| LMArena Multi-Turn | 753 | 1115 |
| WildBench | — | 67.3% |
Frequently asked questions
Is Llama 13b better than Mixtral 8x7B?
Mixtral 8x7B is the stronger model overall, scoring 27.1 to 24.4 on the Noometry Index.
Is Llama 13b or Mixtral 8x7B better for coding?
Mixtral 8x7B scores higher on coding benchmarks: 32.8 versus 21.4 in the Noometry coding category.
How many benchmarks do Llama 13b and Mixtral 8x7B share?
17 benchmarks have published results for both models. Llama 13b has 21 scored results on Noometry and Mixtral 8x7B has 38.