Model comparison
Llama 2-13B vs Nemotron 4 340b Instruct
Nemotron 4 340b Instruct is the stronger model overall, scoring 35.3 to 29.1 on the Noometry Index.
Last verified . 17 shared benchmarks.
Meta
NVIDIASummary
- They share 17 benchmarks with published results for both. Llama 2-13B scores higher in 0 categories and Nemotron 4 340b Instruct in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Nemotron 4 340b Instruct leads 42.9 to 30.0.
Side by side
| Llama 2-13B | Nemotron 4 340b Instruct | |
|---|---|---|
| Provider | Meta | NVIDIA |
| Noometry Index | 29.1 | 35.3 |
| Released | 2023-07-18 | 2024-06-14 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 32 | 17 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Nemotron 4 340b Instruct leads
Llama 2-13B: 30.4 (#287), Nemotron 4 340b Instruct: 34.6 (#223)
| Benchmark | Llama 2-13B | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Coding | 1062 | 1209 |
Reasoning Nemotron 4 340b Instruct leads
Llama 2-13B: 12.3 (#333), Nemotron 4 340b Instruct: 22.4 (#180)
| Benchmark | Llama 2-13B | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1051 | 1202 |
| Chess Puzzles | 0% | — |
| DTBench | 42.2% | — |
| BIG-Bench Hard | 58.2% | — |
| Epoch Capabilities Index | 105.8 | — |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |
Math Nemotron 4 340b Instruct leads
Llama 2-13B: 28.7 (#226), Nemotron 4 340b Instruct: 31.7 (#193)
| Benchmark | Llama 2-13B | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Math | 1065 | 1216 |
| GSM8K | 36.9% | — |
Knowledge Nemotron 4 340b Instruct leads
Llama 2-13B: 27.5 (#244), Nemotron 4 340b Instruct: 31.4 (#212)
| Benchmark | Llama 2-13B | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Expert | 1030 | 1171 |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| MMLU | 55.6% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |
Multimodal Not comparable
Llama 2-13B: —, Nemotron 4 340b Instruct: —
| Benchmark | Llama 2-13B | Nemotron 4 340b Instruct |
|---|---|---|
| ScienceQA | 55.8% | — |
Multilingual Nemotron 4 340b Instruct leads
Llama 2-13B: 26.7 (#274), Nemotron 4 340b Instruct: 38.0 (#228)
| Benchmark | Llama 2-13B | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Non-English | 1024 | 1206 |
| LMArena Chinese | 1001 | 1214 |
| LMArena French | 1043 | 1196 |
| LMArena German | 1009 | 1192 |
| LMArena Japanese | 894 | 1128 |
| LMArena Korean | 953 | 1148 |
| LMArena Russian | 1055 | 1219 |
| LMArena Spanish | 1086 | 1195 |
Instruction Following Nemotron 4 340b Instruct leads
Llama 2-13B: 53.5 (#282), Nemotron 4 340b Instruct: 63.3 (#227)
| Benchmark | Llama 2-13B | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Instruction Following | 1046 | 1203 |
Long Context Nemotron 4 340b Instruct leads
Llama 2-13B: 32.3 (#264), Nemotron 4 340b Instruct: 37.1 (#216)
| Benchmark | Llama 2-13B | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Longer Query | 1064 | 1225 |
Writing & Preference Nemotron 4 340b Instruct leads
Llama 2-13B: 30.0 (#284), Nemotron 4 340b Instruct: 42.9 (#229)
| Benchmark | Llama 2-13B | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Text | 1085 | 1225 |
| LMArena Creative Writing | 1047 | 1203 |
| LMArena Multi-Turn | 1050 | 1214 |
Frequently asked questions
Is Llama 2-13B better than Nemotron 4 340b Instruct?
Nemotron 4 340b Instruct is the stronger model overall, scoring 35.3 to 29.1 on the Noometry Index.
Is Llama 2-13B or Nemotron 4 340b Instruct better for coding?
Nemotron 4 340b Instruct scores higher on coding benchmarks: 34.6 versus 30.4 in the Noometry coding category.
How many benchmarks do Llama 2-13B and Nemotron 4 340b Instruct share?
17 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Nemotron 4 340b Instruct has 17.