Model comparison
Llama 3-70B vs Mistral Nemo
Llama 3-70B is the stronger model overall, scoring 28.8 to 26.4 on the Noometry Index.
Last verified . 4 shared benchmarks.
Meta
Mistral AISummary
- They share 4 benchmarks with published results for both. Llama 3-70B scores higher in 2 categories and Mistral Nemo in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Llama 3-70B leads 42.8 to 28.5.
- The biggest single-benchmark swing is MATH Level 5: 22.6% for Llama 3-70B and 10.8% for Mistral Nemo.
Side by side
| Llama 3-70B | Mistral Nemo | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 28.8 | 26.4 |
| Released | 2024-04-18 | 2024-07-01 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 128K |
| Input $ / M tokens | — | $0.15 |
| Output $ / M tokens | — | $0.15 |
| Results tracked | 31 | 10 |
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Category by category
Coding Not comparable
Llama 3-70B: 35.8 (#218), Mistral Nemo: —
| Benchmark | Llama 3-70B | Mistral Nemo |
|---|---|---|
| BigCodeBench Instruct | 43.6% | — |
| LMArena Coding | 1206 | — |
| BigCodeBench Complete | 54.5% | — |
| HumanEval+ | 72% | — |
| MBPP+ | 69% | — |
Agentic & Tool Use Mistral Nemo leads
Llama 3-70B: 21.1 (#139), Mistral Nemo: 23.5 (#125)
| Benchmark | Llama 3-70B | Mistral Nemo |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 27.6% |
| Cybench | 5% | — |
| BALROG | — | 17.6% |
Reasoning Mistral Nemo leads
Llama 3-70B: 18.0 (#288), Mistral Nemo: 20.7 (#232)
| Benchmark | Llama 3-70B | Mistral Nemo |
|---|---|---|
| DTBench | 54.2% | 48.6% |
| Epoch Capabilities Index | 122.93 | 118.68 |
| Kagi LLM Benchmark | 35.1% | — |
| LMArena Hard Prompts | 1195 | — |
| ForecastBench | 57.1 | — |
| PIQA | — | 83.5% |
| WinoGrande | 83.5% | — |
Math Mistral Nemo leads
Llama 3-70B: 12.8 (#305), Mistral Nemo: 25.5 (#268)
| Benchmark | Llama 3-70B | Mistral Nemo |
|---|---|---|
| MATH Level 5 | 22.6% | 10.8% |
| OTIS Mock AIME 2024-2025 | 4.3% | — |
| LMArena Math | 1218 | — |
| GSM8K | — | 84.2% |
Knowledge Llama 3-70B leads
Llama 3-70B: 20.8 (#277), Mistral Nemo: 12.3 (#298)
| Benchmark | Llama 3-70B | Mistral Nemo |
|---|---|---|
| GPQA Diamond | 40.6% | 29.9% |
| LMArena Expert | 1149 | — |
| BoolQ | — | 82.5% |
| MMLU | 79.3% | — |
Multilingual Not comparable
Llama 3-70B: 33.6 (#251), Mistral Nemo: —
| Benchmark | Llama 3-70B | Mistral Nemo |
|---|---|---|
| LMArena Non-English | 1142 | — |
| LMArena Chinese | 1114 | — |
| LMArena French | 1232 | — |
| LMArena German | 1169 | — |
| LMArena Japanese | 1017 | — |
| LMArena Korean | 1017 | — |
| LMArena Russian | 1159 | — |
| LMArena Spanish | 1241 | — |
Instruction Following Not comparable
Llama 3-70B: 62.5 (#238), Mistral Nemo: —
| Benchmark | Llama 3-70B | Mistral Nemo |
|---|---|---|
| LMArena Instruction Following | 1194 | — |
Long Context Not comparable
Llama 3-70B: 35.6 (#240), Mistral Nemo: —
| Benchmark | Llama 3-70B | Mistral Nemo |
|---|---|---|
| LMArena Longer Query | 1174 | — |
Writing & Preference Llama 3-70B leads
Llama 3-70B: 42.8 (#231), Mistral Nemo: 28.5 (#296)
| Benchmark | Llama 3-70B | Mistral Nemo |
|---|---|---|
| LMArena Text | 1221 | — |
| LMArena Creative Writing | 1210 | — |
| EQ-Bench Creative Writing | — | 881 |
| LMArena Multi-Turn | 1223 | — |
Frequently asked questions
Is Llama 3-70B better than Mistral Nemo?
Llama 3-70B is the stronger model overall, scoring 28.8 to 26.4 on the Noometry Index.
How many benchmarks do Llama 3-70B and Mistral Nemo share?
4 benchmarks have published results for both models. Llama 3-70B has 31 scored results on Noometry and Mistral Nemo has 10.