Model comparison
Llama 3-70B vs Mixtral 8x7B
Llama 3-70B is the stronger model overall, scoring 28.8 to 27.1 on the Noometry Index.
Last verified . 26 shared benchmarks.
Meta
Mistral AISummary
- They share 26 benchmarks with published results for both. Llama 3-70B scores higher in 6 categories and Mixtral 8x7B in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where Llama 3-70B leads 62.5 to 51.0.
- The biggest single-benchmark swing is MATH Level 5: 22.6% for Llama 3-70B and 10% for Mixtral 8x7B.
Side by side
| Llama 3-70B | Mixtral 8x7B | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 28.8 | 27.1 |
| Released | 2024-04-18 | 2023-12-11 |
| Weights | Open | Open |
| Context window | — | 32K |
| Max output | — | 32K |
| Input $ / M tokens | — | $0.70 |
| Output $ / M tokens | — | $0.70 |
| Results tracked | 31 | 38 |
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Category by category
Coding Llama 3-70B leads
Llama 3-70B: 35.8 (#218), Mixtral 8x7B: 32.8 (#269)
| Benchmark | Llama 3-70B | Mixtral 8x7B |
|---|---|---|
| LMArena Coding | 1206 | 1126 |
| HumanEval+ | 72% | 39.6% |
| MBPP+ | 69% | 49.7% |
| BigCodeBench Instruct | 43.6% | — |
| BigCodeBench Complete | 54.5% | — |
Agentic & Tool Use Not comparable
Llama 3-70B: 21.1 (#139), Mixtral 8x7B: —
| Benchmark | Llama 3-70B | Mixtral 8x7B |
|---|---|---|
| Cybench | 5% | — |
Reasoning Too close to call
Llama 3-70B: 18.0 (#288), Mixtral 8x7B: 18.2 (#285)
| Benchmark | Llama 3-70B | Mixtral 8x7B |
|---|---|---|
| LMArena Hard Prompts | 1195 | 1115 |
| DTBench | 54.2% | 49.6% |
| Epoch Capabilities Index | 122.93 | 118.47 |
| ForecastBench | 57.1 | 56.3 |
| WinoGrande | 83.5% | 77.2% |
| Kagi LLM Benchmark | 35.1% | — |
| Adversarial NLI | — | 55.2% |
| HellaSwag | — | 86.7% |
| PIQA | — | 83.6% |
Math Mixtral 8x7B leads
Llama 3-70B: 12.8 (#305), Mixtral 8x7B: 18.8 (#289)
| Benchmark | Llama 3-70B | Mixtral 8x7B |
|---|---|---|
| LMArena Math | 1218 | 1147 |
| MATH Level 5 | 22.6% | 10% |
| OTIS Mock AIME 2024-2025 | 4.3% | — |
| Omni-MATH | — | 10.5% |
| GSM8K | — | 74.4% |
Knowledge Llama 3-70B leads
Llama 3-70B: 20.8 (#277), Mixtral 8x7B: 11.0 (#301)
| Benchmark | Llama 3-70B | Mixtral 8x7B |
|---|---|---|
| GPQA Diamond | 40.6% | 30.6% |
| LMArena Expert | 1149 | 1088 |
| MMLU | 79.3% | 70.6% |
| MMLU-Pro | — | 33.5% |
| GPQA (HELM) | — | 29.6% |
| ARC (AI2) Challenge | — | 87.3% |
| OpenBookQA | — | 85.8% |
| TriviaQA | — | 82.2% |
Multilingual Llama 3-70B leads
Llama 3-70B: 33.6 (#251), Mixtral 8x7B: 29.6 (#266)
| Benchmark | Llama 3-70B | Mixtral 8x7B |
|---|---|---|
| LMArena Non-English | 1142 | 1077 |
| LMArena Chinese | 1114 | 1055 |
| LMArena French | 1232 | 1166 |
| LMArena German | 1169 | 1114 |
| LMArena Japanese | 1017 | 931 |
| LMArena Korean | 1017 | 968 |
| LMArena Russian | 1159 | 1090 |
| LMArena Spanish | 1241 | 1111 |
Instruction Following Llama 3-70B leads
Llama 3-70B: 62.5 (#238), Mixtral 8x7B: 51.0 (#297)
| Benchmark | Llama 3-70B | Mixtral 8x7B |
|---|---|---|
| LMArena Instruction Following | 1194 | 1109 |
| IFEval | — | 57.5% |
Long Context Llama 3-70B leads
Llama 3-70B: 35.6 (#240), Mixtral 8x7B: 33.4 (#260)
| Benchmark | Llama 3-70B | Mixtral 8x7B |
|---|---|---|
| LMArena Longer Query | 1174 | 1103 |
Writing & Preference Llama 3-70B leads
Llama 3-70B: 42.8 (#231), Mixtral 8x7B: 34.2 (#270)
| Benchmark | Llama 3-70B | Mixtral 8x7B |
|---|---|---|
| LMArena Text | 1221 | 1132 |
| LMArena Creative Writing | 1210 | 1109 |
| LMArena Multi-Turn | 1223 | 1115 |
| WildBench | — | 67.3% |
Frequently asked questions
Is Llama 3-70B better than Mixtral 8x7B?
Llama 3-70B is the stronger model overall, scoring 28.8 to 27.1 on the Noometry Index.
Is Llama 3-70B or Mixtral 8x7B better for coding?
Llama 3-70B scores higher on coding benchmarks: 35.8 versus 32.8 in the Noometry coding category.
How many benchmarks do Llama 3-70B and Mixtral 8x7B share?
26 benchmarks have published results for both models. Llama 3-70B has 31 scored results on Noometry and Mixtral 8x7B has 38.