Model comparison
Nvidia Llama 3.3 Nemotron Super 49b v1.5 vs Qwen1.5-32B
Nvidia Llama 3.3 Nemotron Super 49b v1.5 is the stronger model overall, scoring 40.3 to 30.5 on the Noometry Index.
Last verified . 12 shared benchmarks.
NVIDIA
Alibaba (Qwen)Summary
- They share 12 benchmarks with published results for both. Nvidia Llama 3.3 Nemotron Super 49b v1.5 scores higher in 8 categories and Qwen1.5-32B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads 36.7 to 13.5.
Side by side
| Nvidia Llama 3.3 Nemotron Super 49b v1.5 | Qwen1.5-32B | |
|---|---|---|
| Provider | NVIDIA | Alibaba (Qwen) |
| Noometry Index | 40.3 | 30.5 |
| Released | 2025-07-25 | 2024-02-04 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.40 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 12 | 21 |
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Category by category
Coding Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads
Nvidia Llama 3.3 Nemotron Super 49b v1.5: 39.8 (#154), Qwen1.5-32B: 31.7 (#282)
| Benchmark | Nvidia Llama 3.3 Nemotron Super 49b v1.5 | Qwen1.5-32B |
|---|---|---|
| LMArena Coding | 1355 | 1155 |
| BigCodeBench Instruct | — | 32.3% |
| BigCodeBench Complete | — | 42% |
Reasoning Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads
Nvidia Llama 3.3 Nemotron Super 49b v1.5: 26.8 (#128), Qwen1.5-32B: 21.8 (#212)
| Benchmark | Nvidia Llama 3.3 Nemotron Super 49b v1.5 | Qwen1.5-32B |
|---|---|---|
| LMArena Hard Prompts | 1336 | 1130 |
Math Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads
Nvidia Llama 3.3 Nemotron Super 49b v1.5: 38.2 (#141), Qwen1.5-32B: 33.0 (#207)
| Benchmark | Nvidia Llama 3.3 Nemotron Super 49b v1.5 | Qwen1.5-32B |
|---|---|---|
| LMArena Math | 1392 | 1155 |
Knowledge Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads
Nvidia Llama 3.3 Nemotron Super 49b v1.5: 36.7 (#165), Qwen1.5-32B: 13.5 (#296)
| Benchmark | Nvidia Llama 3.3 Nemotron Super 49b v1.5 | Qwen1.5-32B |
|---|---|---|
| LMArena Expert | 1330 | 1126 |
| GPQA Diamond | — | 30.7% |
| MMLU | — | 74.4% |
Multilingual Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads
Nvidia Llama 3.3 Nemotron Super 49b v1.5: 45.5 (#168), Qwen1.5-32B: 31.4 (#259)
| Benchmark | Nvidia Llama 3.3 Nemotron Super 49b v1.5 | Qwen1.5-32B |
|---|---|---|
| LMArena Non-English | 1316 | 1106 |
| LMArena Japanese | 1300 | 1027 |
| LMArena Russian | 1332 | 1073 |
| LMArena Chinese | — | 1177 |
| LMArena French | — | 1101 |
| LMArena German | — | 1058 |
| LMArena Korean | — | 1008 |
| LMArena Spanish | — | 1089 |
Instruction Following Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads
Nvidia Llama 3.3 Nemotron Super 49b v1.5: 68.6 (#188), Qwen1.5-32B: 57.7 (#265)
| Benchmark | Nvidia Llama 3.3 Nemotron Super 49b v1.5 | Qwen1.5-32B |
|---|---|---|
| LMArena Instruction Following | 1299 | 1116 |
Long Context Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads
Nvidia Llama 3.3 Nemotron Super 49b v1.5: 40.0 (#164), Qwen1.5-32B: 34.7 (#246)
| Benchmark | Nvidia Llama 3.3 Nemotron Super 49b v1.5 | Qwen1.5-32B |
|---|---|---|
| LMArena Longer Query | 1315 | 1146 |
Writing & Preference Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads
Nvidia Llama 3.3 Nemotron Super 49b v1.5: 53.1 (#159), Qwen1.5-32B: 34.2 (#271)
| Benchmark | Nvidia Llama 3.3 Nemotron Super 49b v1.5 | Qwen1.5-32B |
|---|---|---|
| LMArena Text | 1338 | 1137 |
| LMArena Creative Writing | 1307 | 1083 |
| LMArena Multi-Turn | 1334 | 1140 |
Frequently asked questions
Is Nvidia Llama 3.3 Nemotron Super 49b v1.5 better than Qwen1.5-32B?
Nvidia Llama 3.3 Nemotron Super 49b v1.5 is the stronger model overall, scoring 40.3 to 30.5 on the Noometry Index.
Is Nvidia Llama 3.3 Nemotron Super 49b v1.5 or Qwen1.5-32B better for coding?
Nvidia Llama 3.3 Nemotron Super 49b v1.5 scores higher on coding benchmarks: 39.8 versus 31.7 in the Noometry coding category.
How many benchmarks do Nvidia Llama 3.3 Nemotron Super 49b v1.5 and Qwen1.5-32B share?
12 benchmarks have published results for both models. Nvidia Llama 3.3 Nemotron Super 49b v1.5 has 12 scored results on Noometry and Qwen1.5-32B has 21.