Model comparison
Llama 2-7B vs Mixtral 8x22B
Llama 2-7B is the stronger model overall, scoring 29.1 to 27.1 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. Llama 2-7B scores higher in 3 categories and Mixtral 8x22B in 5 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Llama 2-7B leads 28.2 to 15.1.
Side by side
| Llama 2-7B | Mixtral 8x22B | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 29.1 | 27.1 |
| Released | 2023-07-18 | 2024-04-17 |
| Weights | Open | Open |
| Context window | — | 64K |
| Max output | — | 64K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 29 | 34 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Llama 2-7B leads
Llama 2-7B: 29.2 (#307), Mixtral 8x22B: 24.2 (#329)
| Benchmark | Llama 2-7B | Mixtral 8x22B |
|---|---|---|
| LMArena Coding | 1002 | 1166 |
| WeirdML | — | 3.2% |
| BigCodeBench Instruct | — | 40.6% |
| BigCodeBench Complete | — | 50.2% |
| HumanEval+ | — | 72% |
| MBPP+ | — | 64.3% |
Agentic & Tool Use Not comparable
Llama 2-7B: —, Mixtral 8x22B: 23.1 (#127)
| Benchmark | Llama 2-7B | Mixtral 8x22B |
|---|---|---|
| Cybench | — | 7.5% |
Reasoning Mixtral 8x22B leads
Llama 2-7B: 15.7 (#312), Mixtral 8x22B: 19.9 (#248)
| Benchmark | Llama 2-7B | Mixtral 8x22B |
|---|---|---|
| LMArena Hard Prompts | 1009 | 1150 |
| Epoch Capabilities Index | 99.06 | 122.03 |
| Chess Puzzles | 0% | — |
| DTBench | — | 55.1% |
| BIG-Bench Hard | 39.2% | — |
| ForecastBench | — | 56.3 |
| HellaSwag | 77.2% | — |
| LAMBADA | 73.3% | — |
| PIQA | 78.8% | — |
| WinoGrande | 69.2% | — |
Math Llama 2-7B leads
Llama 2-7B: 30.7 (#233), Mixtral 8x22B: 22.9 (#275)
| Benchmark | Llama 2-7B | Mixtral 8x22B |
|---|---|---|
| LMArena Math | 1042 | 1184 |
| Omni-MATH | — | 16.3% |
| MATH Level 5 | — | 24.2% |
| GSM8K | 16.7% | — |
Knowledge Llama 2-7B leads
Llama 2-7B: 28.2 (#248), Mixtral 8x22B: 15.1 (#293)
| Benchmark | Llama 2-7B | Mixtral 8x22B |
|---|---|---|
| LMArena Expert | 1036 | 1113 |
| MMLU | 45.8% | 77.8% |
| GPQA Diamond | — | 34.1% |
| MMLU-Pro | — | 46% |
| GPQA (HELM) | — | 33.4% |
| ARC (AI2) Challenge | 45.9% | — |
| BoolQ | 77.9% | — |
| OpenBookQA | 58.6% | — |
| TriviaQA | 73.7% | — |
Multimodal Not comparable
Llama 2-7B: —, Mixtral 8x22B: —
| Benchmark | Llama 2-7B | Mixtral 8x22B |
|---|---|---|
| ScienceQA | 43.1% | — |
Multilingual Mixtral 8x22B leads
Llama 2-7B: 23.8 (#293), Mixtral 8x22B: 32.8 (#255)
| Benchmark | Llama 2-7B | Mixtral 8x22B |
|---|---|---|
| LMArena Non-English | 973 | 1128 |
| LMArena Chinese | 973 | 1116 |
| LMArena French | 970 | 1166 |
| LMArena German | 978 | 1141 |
| LMArena Russian | 995 | 1158 |
| LMArena Spanish | 1007 | 1151 |
| LMArena Japanese | — | 1037 |
| LMArena Korean | — | 1057 |
Instruction Following Mixtral 8x22B leads
Llama 2-7B: 50.8 (#298), Mixtral 8x22B: 57.7 (#266)
| Benchmark | Llama 2-7B | Mixtral 8x22B |
|---|---|---|
| LMArena Instruction Following | 1006 | 1147 |
| IFEval | — | 72.4% |
Long Context Mixtral 8x22B leads
Llama 2-7B: 30.4 (#287), Mixtral 8x22B: 34.7 (#247)
| Benchmark | Llama 2-7B | Mixtral 8x22B |
|---|---|---|
| LMArena Longer Query | 999 | 1144 |
Writing & Preference Mixtral 8x22B leads
Llama 2-7B: 28.0 (#298), Mixtral 8x22B: 36.9 (#262)
| Benchmark | Llama 2-7B | Mixtral 8x22B |
|---|---|---|
| LMArena Text | 1053 | 1162 |
| LMArena Creative Writing | 1033 | 1141 |
| LMArena Multi-Turn | 1029 | 1130 |
| WildBench | — | 71.1% |
Frequently asked questions
Is Llama 2-7B better than Mixtral 8x22B?
Llama 2-7B is the stronger model overall, scoring 29.1 to 27.1 on the Noometry Index.
Is Llama 2-7B or Mixtral 8x22B better for coding?
Llama 2-7B scores higher on coding benchmarks: 29.2 versus 24.2 in the Noometry coding category.
How many benchmarks do Llama 2-7B and Mixtral 8x22B share?
17 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Mixtral 8x22B has 34.