Model comparison
Llama 3.1 Nemotron 70b Instruct vs Mistral Nemo
Llama 3.1 Nemotron 70b Instruct is the stronger model overall, scoring 37.6 to 26.4 on the Noometry Index.
Last verified . 0 shared benchmarks.
NVIDIA
Mistral AISummary
- The widest gap is in knowledge, where Llama 3.1 Nemotron 70b Instruct leads 34.1 to 12.3.
Side by side
| Llama 3.1 Nemotron 70b Instruct | Mistral Nemo | |
|---|---|---|
| Provider | NVIDIA | Mistral AI |
| Noometry Index | 37.6 | 26.4 |
| Released | 2024-12-18 | 2024-07-01 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 128K |
| Input $ / M tokens | — | $0.15 |
| Output $ / M tokens | — | $0.15 |
| Results tracked | 14 | 10 |
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Category by category
Coding Not comparable
Llama 3.1 Nemotron 70b Instruct: 35.9 (#216), Mistral Nemo: —
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Mistral Nemo |
|---|---|---|
| BigCodeBench Instruct | 38.7% | — |
| LMArena Coding | 1272 | — |
| BigCodeBench Complete | 48.2% | — |
Agentic & Tool Use Not comparable
Llama 3.1 Nemotron 70b Instruct: —, Mistral Nemo: 23.5 (#125)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Mistral Nemo |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 27.6% |
| BALROG | — | 17.6% |
Reasoning Llama 3.1 Nemotron 70b Instruct leads
Llama 3.1 Nemotron 70b Instruct: 25.0 (#152), Mistral Nemo: 20.7 (#232)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Mistral Nemo |
|---|---|---|
| LMArena Hard Prompts | 1266 | — |
| DTBench | — | 48.6% |
| Epoch Capabilities Index | — | 118.68 |
| PIQA | — | 83.5% |
Math Llama 3.1 Nemotron 70b Instruct leads
Llama 3.1 Nemotron 70b Instruct: 35.5 (#182), Mistral Nemo: 25.5 (#268)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Mistral Nemo |
|---|---|---|
| LMArena Math | 1271 | — |
| MATH Level 5 | — | 10.8% |
| GSM8K | — | 84.2% |
Knowledge Llama 3.1 Nemotron 70b Instruct leads
Llama 3.1 Nemotron 70b Instruct: 34.1 (#199), Mistral Nemo: 12.3 (#298)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Mistral Nemo |
|---|---|---|
| GPQA Diamond | — | 29.9% |
| LMArena Expert | 1242 | — |
| BoolQ | — | 82.5% |
Multilingual Not comparable
Llama 3.1 Nemotron 70b Instruct: 40.5 (#217), Mistral Nemo: —
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Mistral Nemo |
|---|---|---|
| LMArena Non-English | 1245 | — |
| LMArena Chinese | 1263 | — |
| LMArena Russian | 1227 | — |
Instruction Following Not comparable
Llama 3.1 Nemotron 70b Instruct: 65.9 (#213), Mistral Nemo: —
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Mistral Nemo |
|---|---|---|
| LMArena Instruction Following | 1252 | — |
Long Context Not comparable
Llama 3.1 Nemotron 70b Instruct: 37.6 (#215), Mistral Nemo: —
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Mistral Nemo |
|---|---|---|
| LMArena Longer Query | 1238 | — |
Writing & Preference Llama 3.1 Nemotron 70b Instruct leads
Llama 3.1 Nemotron 70b Instruct: 48.4 (#203), Mistral Nemo: 28.5 (#296)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Mistral Nemo |
|---|---|---|
| LMArena Text | 1283 | — |
| LMArena Creative Writing | 1269 | — |
| EQ-Bench Creative Writing | — | 881 |
| LMArena Multi-Turn | 1275 | — |
Frequently asked questions
Is Llama 3.1 Nemotron 70b Instruct better than Mistral Nemo?
Llama 3.1 Nemotron 70b Instruct is the stronger model overall, scoring 37.6 to 26.4 on the Noometry Index.
How many benchmarks do Llama 3.1 Nemotron 70b Instruct and Mistral Nemo share?
0 benchmarks have published results for both models. Llama 3.1 Nemotron 70b Instruct has 14 scored results on Noometry and Mistral Nemo has 10.