Model comparison
Llama 2-7B vs Mixtral 8x7B
Llama 2-7B is the stronger model overall, scoring 29.1 to 27.1 on the Noometry Index.
Last verified . 24 shared benchmarks.
Meta
Mistral AISummary
- They share 24 benchmarks with published results for both. Llama 2-7B scores higher in 2 categories and Mixtral 8x7B in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Llama 2-7B leads 28.2 to 11.0.
Side by side
| Llama 2-7B | Mixtral 8x7B | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 29.1 | 27.1 |
| Released | 2023-07-18 | 2023-12-11 |
| Weights | Open | Open |
| Context window | — | 32K |
| Max output | — | 32K |
| Input $ / M tokens | — | $0.70 |
| Output $ / M tokens | — | $0.70 |
| Results tracked | 29 | 38 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Mixtral 8x7B leads
Llama 2-7B: 29.2 (#307), Mixtral 8x7B: 32.8 (#269)
| Benchmark | Llama 2-7B | Mixtral 8x7B |
|---|---|---|
| LMArena Coding | 1002 | 1126 |
| HumanEval+ | — | 39.6% |
| MBPP+ | — | 49.7% |
Reasoning Mixtral 8x7B leads
Llama 2-7B: 15.7 (#312), Mixtral 8x7B: 18.2 (#285)
| Benchmark | Llama 2-7B | Mixtral 8x7B |
|---|---|---|
| LMArena Hard Prompts | 1009 | 1115 |
| Epoch Capabilities Index | 99.06 | 118.47 |
| HellaSwag | 77.2% | 86.7% |
| PIQA | 78.8% | 83.6% |
| WinoGrande | 69.2% | 77.2% |
| Chess Puzzles | 0% | — |
| DTBench | — | 49.6% |
| Adversarial NLI | — | 55.2% |
| BIG-Bench Hard | 39.2% | — |
| ForecastBench | — | 56.3 |
| LAMBADA | 73.3% | — |
Math Llama 2-7B leads
Llama 2-7B: 30.7 (#233), Mixtral 8x7B: 18.8 (#289)
| Benchmark | Llama 2-7B | Mixtral 8x7B |
|---|---|---|
| LMArena Math | 1042 | 1147 |
| GSM8K | 16.7% | 74.4% |
| Omni-MATH | — | 10.5% |
| MATH Level 5 | — | 10% |
Knowledge Llama 2-7B leads
Llama 2-7B: 28.2 (#248), Mixtral 8x7B: 11.0 (#301)
| Benchmark | Llama 2-7B | Mixtral 8x7B |
|---|---|---|
| LMArena Expert | 1036 | 1088 |
| ARC (AI2) Challenge | 45.9% | 87.3% |
| MMLU | 45.8% | 70.6% |
| OpenBookQA | 58.6% | 85.8% |
| TriviaQA | 73.7% | 82.2% |
| GPQA Diamond | — | 30.6% |
| MMLU-Pro | — | 33.5% |
| GPQA (HELM) | — | 29.6% |
| BoolQ | 77.9% | — |
Multimodal Not comparable
Llama 2-7B: —, Mixtral 8x7B: —
| Benchmark | Llama 2-7B | Mixtral 8x7B |
|---|---|---|
| ScienceQA | 43.1% | — |
Multilingual Mixtral 8x7B leads
Llama 2-7B: 23.8 (#293), Mixtral 8x7B: 29.6 (#266)
| Benchmark | Llama 2-7B | Mixtral 8x7B |
|---|---|---|
| LMArena Non-English | 973 | 1077 |
| LMArena Chinese | 973 | 1055 |
| LMArena French | 970 | 1166 |
| LMArena German | 978 | 1114 |
| LMArena Russian | 995 | 1090 |
| LMArena Spanish | 1007 | 1111 |
| LMArena Japanese | — | 931 |
| LMArena Korean | — | 968 |
Instruction Following Too close to call
Llama 2-7B: 50.8 (#298), Mixtral 8x7B: 51.0 (#297)
| Benchmark | Llama 2-7B | Mixtral 8x7B |
|---|---|---|
| LMArena Instruction Following | 1006 | 1109 |
| IFEval | — | 57.5% |
Long Context Mixtral 8x7B leads
Llama 2-7B: 30.4 (#287), Mixtral 8x7B: 33.4 (#260)
| Benchmark | Llama 2-7B | Mixtral 8x7B |
|---|---|---|
| LMArena Longer Query | 999 | 1103 |
Writing & Preference Mixtral 8x7B leads
Llama 2-7B: 28.0 (#298), Mixtral 8x7B: 34.2 (#270)
| Benchmark | Llama 2-7B | Mixtral 8x7B |
|---|---|---|
| LMArena Text | 1053 | 1132 |
| LMArena Creative Writing | 1033 | 1109 |
| LMArena Multi-Turn | 1029 | 1115 |
| WildBench | — | 67.3% |
Frequently asked questions
Is Llama 2-7B better than Mixtral 8x7B?
Llama 2-7B is the stronger model overall, scoring 29.1 to 27.1 on the Noometry Index.
Is Llama 2-7B or Mixtral 8x7B better for coding?
Mixtral 8x7B scores higher on coding benchmarks: 32.8 versus 29.2 in the Noometry coding category.
How many benchmarks do Llama 2-7B and Mixtral 8x7B share?
24 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Mixtral 8x7B has 38.