Model comparison
Llama 3.1 Nemotron 70b Instruct vs Mistral Small
Llama 3.1 Nemotron 70b Instruct is the stronger model overall, scoring 37.6 to 33.4 on the Noometry Index.
Last verified . 14 shared benchmarks.
Summary
- They share 14 benchmarks with published results for both. Llama 3.1 Nemotron 70b Instruct scores higher in 4 categories and Mistral Small in 4 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Llama 3.1 Nemotron 70b Instruct leads 35.5 to 16.4.
Side by side
| Llama 3.1 Nemotron 70b Instruct | Mistral Small | |
|---|---|---|
| Provider | NVIDIA | Mistral AI |
| Noometry Index | 37.6 | 33.4 |
| Released | 2024-12-18 | 2024-02-26 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 256K |
| Input $ / M tokens | — | $0.15 |
| Output $ / M tokens | — | $0.60 |
| Results tracked | 14 | 39 |
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Category by category
Coding Llama 3.1 Nemotron 70b Instruct leads
Llama 3.1 Nemotron 70b Instruct: 35.9 (#216), Mistral Small: 34.0 (#247)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Mistral Small |
|---|---|---|
| BigCodeBench Instruct | 38.7% | 36.1% |
| LMArena Coding | 1272 | 1362 |
| BigCodeBench Complete | 48.2% | 46.6% |
| SciCode | — | 26.5% |
| LiveBench Coding | — | 36.2% |
| ALE-Bench | — | 497.62 |
Agentic & Tool Use Not comparable
Llama 3.1 Nemotron 70b Instruct: —, Mistral Small: 28.1 (#93)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Mistral Small |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.1% |
Reasoning Llama 3.1 Nemotron 70b Instruct leads
Llama 3.1 Nemotron 70b Instruct: 25.0 (#152), Mistral Small: 19.8 (#250)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Mistral Small |
|---|---|---|
| LMArena Hard Prompts | 1266 | 1335 |
| Kagi LLM Benchmark | — | 37.8% |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 44.8% |
| DTBench | — | 70.9% |
| LiveBench Data Analysis | — | 53.7% |
| LMCA | — | 20.6% |
| LiveBench | — | 44% |
Math Llama 3.1 Nemotron 70b Instruct leads
Llama 3.1 Nemotron 70b Instruct: 35.5 (#182), Mistral Small: 16.4 (#293)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Mistral Small |
|---|---|---|
| LMArena Math | 1271 | 1341 |
| OTIS Mock AIME 2024-2025 | — | 5.8% |
| LiveBench Math | — | 39.9% |
| MATH Level 5 | — | 46.8% |
Knowledge Llama 3.1 Nemotron 70b Instruct leads
Llama 3.1 Nemotron 70b Instruct: 34.1 (#199), Mistral Small: 31.0 (#222)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Mistral Small |
|---|---|---|
| LMArena Expert | 1242 | 1291 |
| GPQA Diamond | — | 47.5% |
| Vectara Hallucination Rate | — | 5.1% |
| MMLU | — | 68.7% |
Multimodal Not comparable
Llama 3.1 Nemotron 70b Instruct: —, Mistral Small: 33.5 (#96)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Mistral Small |
|---|---|---|
| LMArena Vision | — | 1142 |
Multilingual Mistral Small leads
Llama 3.1 Nemotron 70b Instruct: 40.5 (#217), Mistral Small: 45.5 (#169)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Mistral Small |
|---|---|---|
| LMArena Non-English | 1245 | 1315 |
| LMArena Chinese | 1263 | 1340 |
| LMArena Russian | 1227 | 1324 |
| LMArena French | — | 1337 |
| LMArena German | — | 1340 |
| LMArena Japanese | — | 1275 |
| LMArena Korean | — | 1259 |
| LMArena Spanish | — | 1346 |
Instruction Following Too close to call
Llama 3.1 Nemotron 70b Instruct: 65.9 (#213), Mistral Small: 66.4 (#209)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Mistral Small |
|---|---|---|
| LMArena Instruction Following | 1252 | 1310 |
| LiveBench Instruction Following | — | 63.7% |
Long Context Mistral Small leads
Llama 3.1 Nemotron 70b Instruct: 37.6 (#215), Mistral Small: 40.4 (#156)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Mistral Small |
|---|---|---|
| LMArena Longer Query | 1238 | 1327 |
Writing & Preference Mistral Small leads
Llama 3.1 Nemotron 70b Instruct: 48.4 (#203), Mistral Small: 52.5 (#171)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Mistral Small |
|---|---|---|
| LMArena Text | 1283 | 1338 |
| LMArena Creative Writing | 1269 | 1305 |
| LMArena Multi-Turn | 1275 | 1344 |
| LiveBench Language | — | 30.5% |
Frequently asked questions
Is Llama 3.1 Nemotron 70b Instruct better than Mistral Small?
Llama 3.1 Nemotron 70b Instruct is the stronger model overall, scoring 37.6 to 33.4 on the Noometry Index.
Is Llama 3.1 Nemotron 70b Instruct or Mistral Small better for coding?
Llama 3.1 Nemotron 70b Instruct scores higher on coding benchmarks: 35.9 versus 34.0 in the Noometry coding category.
How many benchmarks do Llama 3.1 Nemotron 70b Instruct and Mistral Small share?
14 benchmarks have published results for both models. Llama 3.1 Nemotron 70b Instruct has 14 scored results on Noometry and Mistral Small has 39.