Model comparison
Llama 3.1 Nemotron 70b Instruct vs Mistral
Llama 3.1 Nemotron 70b Instruct is the stronger model overall, scoring 37.0 to 29.4 on the Noometry Index.
Last verified . 12 shared benchmarks.
NVIDIA
Mistral AISummary
- They share 12 benchmarks with published results for both. Llama 3.1 Nemotron 70b Instruct scores higher in 8 categories and Mistral in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Llama 3.1 Nemotron 70b Instruct leads 33.5 to 16.3.
- Llama 3.1 Nemotron 70b Instruct has downloadable open weights; the other is API-only.
Side by side
| Llama 3.1 Nemotron 70b Instruct | Mistral | |
|---|---|---|
| Provider | NVIDIA | Mistral AI |
| Noometry Index | 37.0 | 29.4 |
| Released | 2024-12-18 | — |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 14 | 22 |
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Category by category
Coding Llama 3.1 Nemotron 70b Instruct leads
Llama 3.1 Nemotron 70b Instruct: 35.3 (#212), Mistral: 33.2 (#249)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Mistral |
|---|---|---|
| LMArena Coding | 1272 | 1162 |
| BigCodeBench Instruct | 38.7% | — |
| BigCodeBench Complete | 48.2% | — |
Reasoning Llama 3.1 Nemotron 70b Instruct leads
Llama 3.1 Nemotron 70b Instruct: 24.0 (#156), Mistral: 21.3 (#199)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Mistral |
|---|---|---|
| LMArena Hard Prompts | 1266 | 1149 |
Math Llama 3.1 Nemotron 70b Instruct leads
Llama 3.1 Nemotron 70b Instruct: 32.9 (#182), Mistral: 20.5 (#275)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Mistral |
|---|---|---|
| LMArena Math | 1271 | 1180 |
| Omni-MATH | — | 7.2% |
Knowledge Llama 3.1 Nemotron 70b Instruct leads
Llama 3.1 Nemotron 70b Instruct: 33.5 (#194), Mistral: 16.3 (#283)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Mistral |
|---|---|---|
| LMArena Expert | 1242 | 1125 |
| MMLU-Pro | — | 27.7% |
| GPQA (HELM) | — | 30.3% |
Multilingual Llama 3.1 Nemotron 70b Instruct leads
Llama 3.1 Nemotron 70b Instruct: 40.7 (#212), Mistral: 33.0 (#249)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Mistral |
|---|---|---|
| LMArena Non-English | 1245 | 1129 |
| LMArena Chinese | 1263 | 1109 |
| LMArena Russian | 1227 | 1168 |
| LMArena French | — | 1179 |
| LMArena German | — | 1155 |
| LMArena Japanese | — | 1012 |
| LMArena Korean | — | 1032 |
| LMArena Spanish | — | 1143 |
Instruction Following Llama 3.1 Nemotron 70b Instruct leads
Llama 3.1 Nemotron 70b Instruct: 66.2 (#208), Mistral: 52.9 (#283)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Mistral |
|---|---|---|
| LMArena Instruction Following | 1252 | 1152 |
| IFEval | — | 56.8% |
Long Context Llama 3.1 Nemotron 70b Instruct leads
Llama 3.1 Nemotron 70b Instruct: 37.5 (#210), Mistral: 35.0 (#240)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Mistral |
|---|---|---|
| LMArena Longer Query | 1239 | 1154 |
Writing & Preference Llama 3.1 Nemotron 70b Instruct leads
Llama 3.1 Nemotron 70b Instruct: 48.6 (#197), Mistral: 37.2 (#255)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Mistral |
|---|---|---|
| LMArena Text | 1283 | 1165 |
| LMArena Creative Writing | 1269 | 1158 |
| LMArena Multi-Turn | 1275 | 1147 |
| WildBench | — | 66% |
Frequently asked questions
Is Llama 3.1 Nemotron 70b Instruct better than Mistral?
Llama 3.1 Nemotron 70b Instruct is the stronger model overall, scoring 37.0 to 29.4 on the Noometry Index.
Is Llama 3.1 Nemotron 70b Instruct or Mistral better for coding?
Llama 3.1 Nemotron 70b Instruct scores higher on coding benchmarks: 35.3 versus 33.2 in the Noometry coding category.
How many benchmarks do Llama 3.1 Nemotron 70b Instruct and Mistral share?
12 benchmarks have published results for both models. Llama 3.1 Nemotron 70b Instruct has 14 scored results on Noometry and Mistral has 22.