Model comparison
Nvidia Llama 3.3 Nemotron Super 49b v1.5 vs Qwen2.5 Plus 1127
Nvidia Llama 3.3 Nemotron Super 49b v1.5 is the stronger model overall, scoring 40.3 to 38.8 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 Qwen2.5 Plus 1127 in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads 53.1 to 49.4.
- Nvidia Llama 3.3 Nemotron Super 49b v1.5 has downloadable open weights; the other is API-only.
Side by side
| Nvidia Llama 3.3 Nemotron Super 49b v1.5 | Qwen2.5 Plus 1127 | |
|---|---|---|
| Provider | NVIDIA | Alibaba (Qwen) |
| Noometry Index | 40.3 | 38.8 |
| Released | 2025-07-25 | — |
| Weights | Open | Proprietary |
| Context window | 131K | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.40 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 12 | 14 |
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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), Qwen2.5 Plus 1127: 38.5 (#175)
| Benchmark | Nvidia Llama 3.3 Nemotron Super 49b v1.5 | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Coding | 1355 | 1314 |
Reasoning Too close to call
Nvidia Llama 3.3 Nemotron Super 49b v1.5: 26.8 (#128), Qwen2.5 Plus 1127: 25.9 (#141)
| Benchmark | Nvidia Llama 3.3 Nemotron Super 49b v1.5 | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Hard Prompts | 1336 | 1299 |
Math Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads
Nvidia Llama 3.3 Nemotron Super 49b v1.5: 38.2 (#141), Qwen2.5 Plus 1127: 36.1 (#174)
| Benchmark | Nvidia Llama 3.3 Nemotron Super 49b v1.5 | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Math | 1392 | 1298 |
Knowledge Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads
Nvidia Llama 3.3 Nemotron Super 49b v1.5: 36.7 (#165), Qwen2.5 Plus 1127: 35.5 (#183)
| Benchmark | Nvidia Llama 3.3 Nemotron Super 49b v1.5 | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Expert | 1330 | 1289 |
Multilingual Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads
Nvidia Llama 3.3 Nemotron Super 49b v1.5: 45.5 (#168), Qwen2.5 Plus 1127: 41.9 (#201)
| Benchmark | Nvidia Llama 3.3 Nemotron Super 49b v1.5 | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Non-English | 1316 | 1265 |
| LMArena Japanese | 1300 | 1207 |
| LMArena Russian | 1332 | 1271 |
| LMArena Chinese | — | 1314 |
| LMArena German | — | 1231 |
Instruction Following Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads
Nvidia Llama 3.3 Nemotron Super 49b v1.5: 68.6 (#188), Qwen2.5 Plus 1127: 67.2 (#199)
| Benchmark | Nvidia Llama 3.3 Nemotron Super 49b v1.5 | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Instruction Following | 1299 | 1275 |
Long Context Too close to call
Nvidia Llama 3.3 Nemotron Super 49b v1.5: 40.0 (#164), Qwen2.5 Plus 1127: 39.2 (#184)
| Benchmark | Nvidia Llama 3.3 Nemotron Super 49b v1.5 | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Longer Query | 1315 | 1292 |
Writing & Preference Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads
Nvidia Llama 3.3 Nemotron Super 49b v1.5: 53.1 (#159), Qwen2.5 Plus 1127: 49.4 (#192)
| Benchmark | Nvidia Llama 3.3 Nemotron Super 49b v1.5 | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Text | 1338 | 1299 |
| LMArena Creative Writing | 1307 | 1262 |
| LMArena Multi-Turn | 1334 | 1299 |
Frequently asked questions
Is Nvidia Llama 3.3 Nemotron Super 49b v1.5 better than Qwen2.5 Plus 1127?
Nvidia Llama 3.3 Nemotron Super 49b v1.5 is the stronger model overall, scoring 40.3 to 38.8 on the Noometry Index.
Is Nvidia Llama 3.3 Nemotron Super 49b v1.5 or Qwen2.5 Plus 1127 better for coding?
Nvidia Llama 3.3 Nemotron Super 49b v1.5 scores higher on coding benchmarks: 39.8 versus 38.5 in the Noometry coding category.
How many benchmarks do Nvidia Llama 3.3 Nemotron Super 49b v1.5 and Qwen2.5 Plus 1127 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 Qwen2.5 Plus 1127 has 14.