Model comparison
Llama 3-70B vs Pixtral Large
Pixtral Large is the stronger model overall, scoring 31.7 to 28.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
Meta
Mistral AISummary
- The widest gap is in writing & preference, where Llama 3-70B leads 43.0 to 32.9.
Side by side
| Llama 3-70B | Pixtral Large | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 28.5 | 31.7 |
| Released | 2024-04-18 | 2024-11-01 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 128K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 31 | 3 |
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Category by category
Coding Not comparable
Llama 3-70B: 35.3 (#215), Pixtral Large: —
| Benchmark | Llama 3-70B | Pixtral Large |
|---|---|---|
| BigCodeBench Instruct | 43.6% | — |
| LMArena Coding | 1206 | — |
| BigCodeBench Complete | 54.5% | — |
| HumanEval+ | 72% | — |
| MBPP+ | 69% | — |
Agentic & Tool Use Not comparable
Llama 3-70B: 20.9 (#132), Pixtral Large: —
| Benchmark | Llama 3-70B | Pixtral Large |
|---|---|---|
| Cybench | 5% | — |
Reasoning Pixtral Large leads
Llama 3-70B: 17.4 (#284), Pixtral Large: 20.9 (#208)
| Benchmark | Llama 3-70B | Pixtral Large |
|---|---|---|
| Kagi LLM Benchmark | 35.1% | — |
| EnigmaEval | — | 0.8% |
| LMArena Hard Prompts | 1195 | — |
| DTBench | 54.2% | — |
| Epoch Capabilities Index | 122.91 | — |
| ForecastBench | 57.1 | — |
| WinoGrande | 83.5% | — |
Math Not comparable
Llama 3-70B: 12.0 (#299), Pixtral Large: —
| Benchmark | Llama 3-70B | Pixtral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.3% | — |
| LMArena Math | 1218 | — |
| MATH Level 5 | 22.6% | — |
Knowledge Not comparable
Llama 3-70B: 20.8 (#272), Pixtral Large: —
| Benchmark | Llama 3-70B | Pixtral Large |
|---|---|---|
| GPQA Diamond | 40.6% | — |
| LMArena Expert | 1149 | — |
| MMLU | 79.3% | — |
Multimodal Not comparable
Llama 3-70B: —, Pixtral Large: 30.0 (#105)
| Benchmark | Llama 3-70B | Pixtral Large |
|---|---|---|
| LMArena Vision | — | 1089 |
Multilingual Not comparable
Llama 3-70B: 33.8 (#246), Pixtral Large: —
| Benchmark | Llama 3-70B | Pixtral Large |
|---|---|---|
| LMArena Non-English | 1142 | — |
| LMArena Chinese | 1114 | — |
| LMArena French | 1231 | — |
| LMArena German | 1169 | — |
| LMArena Japanese | 1017 | — |
| LMArena Korean | 1017 | — |
| LMArena Russian | 1159 | — |
| LMArena Spanish | 1241 | — |
Instruction Following Not comparable
Llama 3-70B: 62.8 (#233), Pixtral Large: —
| Benchmark | Llama 3-70B | Pixtral Large |
|---|---|---|
| LMArena Instruction Following | 1194 | — |
Long Context Not comparable
Llama 3-70B: 35.6 (#235), Pixtral Large: —
| Benchmark | Llama 3-70B | Pixtral Large |
|---|---|---|
| LMArena Longer Query | 1174 | — |
Writing & Preference Llama 3-70B leads
Llama 3-70B: 43.0 (#225), Pixtral Large: 32.9 (#273)
| Benchmark | Llama 3-70B | Pixtral Large |
|---|---|---|
| LMArena Text | 1221 | — |
| LMArena Creative Writing | 1210 | — |
| EQ-Bench Creative Writing | — | 988 |
| LMArena Multi-Turn | 1223 | — |
Frequently asked questions
Is Llama 3-70B better than Pixtral Large?
Pixtral Large is the stronger model overall, scoring 31.7 to 28.5 on the Noometry Index.
How many benchmarks do Llama 3-70B and Pixtral Large share?
0 benchmarks have published results for both models. Llama 3-70B has 31 scored results on Noometry and Pixtral Large has 3.