Model comparison
Llama-3.3-70B-Instruct vs Nemotron 4 340b Instruct
Nemotron 4 340b Instruct is the stronger model overall, scoring 35.3 to 30.3 on the Noometry Index.
Last verified . 17 shared benchmarks.
Meta
NVIDIASummary
- They share 17 benchmarks with published results for both. Llama-3.3-70B-Instruct scores higher in 3 categories and Nemotron 4 340b Instruct in 5 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Nemotron 4 340b Instruct leads 31.7 to 14.3.
Side by side
| Llama-3.3-70B-Instruct | Nemotron 4 340b Instruct | |
|---|---|---|
| Provider | Meta | NVIDIA |
| Noometry Index | 30.3 | 35.3 |
| Released | 2024-12-06 | 2024-06-14 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.10 | — |
| Output $ / M tokens | $0.32 | — |
| Results tracked | 43 | 17 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Nemotron 4 340b Instruct leads
Llama-3.3-70B-Instruct: 30.6 (#284), Nemotron 4 340b Instruct: 34.6 (#223)
| Benchmark | Llama-3.3-70B-Instruct | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Coding | 1268 | 1209 |
| SciCode | 26% | — |
| WeirdML | 14.4% | — |
| BigCodeBench Instruct | 46.9% | — |
| LiveBench Coding | 36.6% | — |
| BigCodeBench Complete | 57.5% | — |
Agentic & Tool Use Not comparable
Llama-3.3-70B-Instruct: 25.6 (#100), Nemotron 4 340b Instruct: —
| Benchmark | Llama-3.3-70B-Instruct | Nemotron 4 340b Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | 31.9% | — |
| BALROG | 23% | — |
Reasoning Nemotron 4 340b Instruct leads
Llama-3.3-70B-Instruct: 13.7 (#325), Nemotron 4 340b Instruct: 22.4 (#180)
| Benchmark | Llama-3.3-70B-Instruct | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1202 |
| SimpleBench | 19.9% | — |
| CritPt | 0% | — |
| LiveBench Reasoning | 50.8% | — |
| DTBench | 59.5% | — |
| LiveBench Data Analysis | 49.5% | — |
| LMCA | 17.5% | — |
| Epoch Capabilities Index | 127.32 | — |
| ForecastBench | 58.6 | — |
| LiveBench | 50.2% | — |
Math Nemotron 4 340b Instruct leads
Llama-3.3-70B-Instruct: 14.3 (#292), Nemotron 4 340b Instruct: 31.7 (#193)
| Benchmark | Llama-3.3-70B-Instruct | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Math | 1268 | 1216 |
| OTIS Mock AIME 2024-2025 | 5.1% | — |
| LiveBench Math | 42.2% | — |
| MATH Level 5 | 41.6% | — |
Knowledge Too close to call
Llama-3.3-70B-Instruct: 30.5 (#220), Nemotron 4 340b Instruct: 31.4 (#212)
| Benchmark | Llama-3.3-70B-Instruct | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Expert | 1225 | 1171 |
| GPQA Diamond | 47.4% | — |
| Confabulations | 22.8% | — |
| Vectara Hallucination Rate | 4.1% | — |
| MMLU | 86.3% | — |
Multilingual Llama-3.3-70B-Instruct leads
Llama-3.3-70B-Instruct: 40.1 (#215), Nemotron 4 340b Instruct: 38.0 (#228)
| Benchmark | Llama-3.3-70B-Instruct | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Non-English | 1236 | 1206 |
| LMArena Chinese | 1217 | 1214 |
| LMArena French | 1280 | 1196 |
| LMArena German | 1251 | 1192 |
| LMArena Japanese | 1149 | 1128 |
| LMArena Korean | 1142 | 1148 |
| LMArena Russian | 1252 | 1219 |
| LMArena Spanish | 1269 | 1195 |
Instruction Following Llama-3.3-70B-Instruct leads
Llama-3.3-70B-Instruct: 71.3 (#152), Nemotron 4 340b Instruct: 63.3 (#227)
| Benchmark | Llama-3.3-70B-Instruct | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Instruction Following | 1242 | 1203 |
| LiveBench Instruction Following | 82.7% | — |
Long Context Nemotron 4 340b Instruct leads
Llama-3.3-70B-Instruct: 26.4 (#290), Nemotron 4 340b Instruct: 37.1 (#216)
| Benchmark | Llama-3.3-70B-Instruct | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Longer Query | 1256 | 1225 |
| Fiction.LiveBench | 33.3% | — |
Writing & Preference Llama-3.3-70B-Instruct leads
Llama-3.3-70B-Instruct: 47.8 (#203), Nemotron 4 340b Instruct: 42.9 (#229)
| Benchmark | Llama-3.3-70B-Instruct | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Text | 1274 | 1225 |
| LMArena Creative Writing | 1250 | 1203 |
| LMArena Multi-Turn | 1279 | 1214 |
| LiveBench Language | 39.2% | — |
Frequently asked questions
Is Llama-3.3-70B-Instruct better than Nemotron 4 340b Instruct?
Nemotron 4 340b Instruct is the stronger model overall, scoring 35.3 to 30.3 on the Noometry Index.
Is Llama-3.3-70B-Instruct or Nemotron 4 340b Instruct better for coding?
Nemotron 4 340b Instruct scores higher on coding benchmarks: 34.6 versus 30.6 in the Noometry coding category.
How many benchmarks do Llama-3.3-70B-Instruct and Nemotron 4 340b Instruct share?
17 benchmarks have published results for both models. Llama-3.3-70B-Instruct has 43 scored results on Noometry and Nemotron 4 340b Instruct has 17.