Model comparison
Llama 3-70B vs Mistral Large 4
Mistral Large 4 is the stronger model overall, scoring 43.1 to 28.8 on the Noometry Index.
Last verified . 12 shared benchmarks.
Meta
Mistral AISummary
- They share 12 benchmarks with published results for both. Llama 3-70B scores higher in 0 categories and Mistral Large 4 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Mistral Large 4 leads 40.4 to 12.8.
- Llama 3-70B has downloadable open weights; the other is API-only.
Side by side
| Llama 3-70B | Mistral Large 4 | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 28.8 | 43.1 |
| Released | 2024-04-18 | 2026-10-06 |
| Weights | Open | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 262K |
| Input $ / M tokens | — | $0.68 |
| Output $ / M tokens | — | $2.09 |
| Results tracked | 31 | 15 |
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Category by category
Coding Mistral Large 4 leads
Llama 3-70B: 35.8 (#218), Mistral Large 4: 48.6 (#57)
| Benchmark | Llama 3-70B | Mistral Large 4 |
|---|---|---|
| LMArena Coding | 1206 | 1475 |
| LMArena WebDev | — | 1541 |
| BigCodeBench Instruct | 43.6% | — |
| BigCodeBench Complete | 54.5% | — |
| HumanEval+ | 72% | — |
| MBPP+ | 69% | — |
Agentic & Tool Use Not comparable
Llama 3-70B: 21.1 (#139), Mistral Large 4: —
| Benchmark | Llama 3-70B | Mistral Large 4 |
|---|---|---|
| Cybench | 5% | — |
Reasoning Mistral Large 4 leads
Llama 3-70B: 18.0 (#288), Mistral Large 4: 22.5 (#192)
| Benchmark | Llama 3-70B | Mistral Large 4 |
|---|---|---|
| LMArena Hard Prompts | 1195 | 1444 |
| Kagi LLM Benchmark | 35.1% | — |
| NYT Connections (extended) | — | 27.4% |
| DTBench | 54.2% | — |
| Epoch Capabilities Index | 122.93 | — |
| ForecastBench | 57.1 | — |
| WinoGrande | 83.5% | — |
Math Mistral Large 4 leads
Llama 3-70B: 12.8 (#305), Mistral Large 4: 40.4 (#91)
| Benchmark | Llama 3-70B | Mistral Large 4 |
|---|---|---|
| LMArena Math | 1218 | 1488 |
| OTIS Mock AIME 2024-2025 | 4.3% | — |
| MATH Level 5 | 22.6% | — |
Knowledge Mistral Large 4 leads
Llama 3-70B: 20.8 (#277), Mistral Large 4: 36.6 (#166)
| Benchmark | Llama 3-70B | Mistral Large 4 |
|---|---|---|
| LMArena Expert | 1149 | 1447 |
| GPQA Diamond | 40.6% | — |
| SimpleQA Verified | — | 20% |
| MMLU | 79.3% | — |
Multilingual Mistral Large 4 leads
Llama 3-70B: 33.6 (#251), Mistral Large 4: 52.6 (#82)
| Benchmark | Llama 3-70B | Mistral Large 4 |
|---|---|---|
| LMArena Non-English | 1142 | 1415 |
| LMArena Chinese | 1114 | 1491 |
| LMArena Russian | 1159 | 1414 |
| LMArena French | 1232 | — |
| LMArena German | 1169 | — |
| LMArena Japanese | 1017 | — |
| LMArena Korean | 1017 | — |
| LMArena Spanish | 1241 | — |
Instruction Following Mistral Large 4 leads
Llama 3-70B: 62.5 (#238), Mistral Large 4: 75.0 (#76)
| Benchmark | Llama 3-70B | Mistral Large 4 |
|---|---|---|
| LMArena Instruction Following | 1194 | 1424 |
Long Context Mistral Large 4 leads
Llama 3-70B: 35.6 (#240), Mistral Large 4: 43.6 (#89)
| Benchmark | Llama 3-70B | Mistral Large 4 |
|---|---|---|
| LMArena Longer Query | 1174 | 1429 |
Writing & Preference Mistral Large 4 leads
Llama 3-70B: 42.8 (#231), Mistral Large 4: 60.4 (#97)
| Benchmark | Llama 3-70B | Mistral Large 4 |
|---|---|---|
| LMArena Text | 1221 | 1427 |
| LMArena Creative Writing | 1210 | 1361 |
| LMArena Multi-Turn | 1223 | 1424 |
Frequently asked questions
Is Llama 3-70B better than Mistral Large 4?
Mistral Large 4 is the stronger model overall, scoring 43.1 to 28.8 on the Noometry Index.
Is Llama 3-70B or Mistral Large 4 better for coding?
Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 35.8 in the Noometry coding category.
How many benchmarks do Llama 3-70B and Mistral Large 4 share?
12 benchmarks have published results for both models. Llama 3-70B has 31 scored results on Noometry and Mistral Large 4 has 15.