Model comparison
Nvidia Llama 3.3 Nemotron Super 49b v1.5 vs Qwen2.5 7B Instruct
Nvidia Llama 3.3 Nemotron Super 49b v1.5 is the stronger model overall, scoring 40.3 to 29.0 on the Noometry Index.
Last verified . 0 shared benchmarks.
NVIDIA
Alibaba (Qwen)Summary
- The widest gap is in math, where Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads 38.2 to 12.6.
- Qwen2.5 7B Instruct is cheaper at $0.17 / $0.70 per million input/output tokens, against $0.40 / $0.40 for Nvidia Llama 3.3 Nemotron Super 49b v1.5.
Side by side
| Nvidia Llama 3.3 Nemotron Super 49b v1.5 | Qwen2.5 7B Instruct | |
|---|---|---|
| Provider | NVIDIA | Alibaba (Qwen) |
| Noometry Index | 40.3 | 29.0 |
| Released | 2025-07-25 | 2024-09 |
| Weights | Open | Open |
| Context window | 131K | 131K |
| Max output | 131K | 8K |
| Input $ / M tokens | $0.40 | $0.17 |
| Output $ / M tokens | $0.40 | $0.70 |
| Results tracked | 12 | 15 |
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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 7B Instruct: 36.5 (#208)
| Benchmark | Nvidia Llama 3.3 Nemotron Super 49b v1.5 | Qwen2.5 7B Instruct |
|---|---|---|
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1355 | — |
| BigCodeBench Complete | — | 46.1% |
Agentic & Tool Use Not comparable
Nvidia Llama 3.3 Nemotron Super 49b v1.5: —, Qwen2.5 7B Instruct: 23.8 (#124)
| Benchmark | Nvidia Llama 3.3 Nemotron Super 49b v1.5 | Qwen2.5 7B Instruct |
|---|---|---|
| BALROG | — | 7.8% |
Reasoning Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads
Nvidia Llama 3.3 Nemotron Super 49b v1.5: 26.8 (#128), Qwen2.5 7B Instruct: 14.8 (#322)
| Benchmark | Nvidia Llama 3.3 Nemotron Super 49b v1.5 | Qwen2.5 7B Instruct |
|---|---|---|
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1336 | — |
| DTBench | — | 47.7% |
| LMCA | — | 6.4% |
| Epoch Capabilities Index | — | 118.51 |
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 7B Instruct: 12.6 (#306)
| Benchmark | Nvidia Llama 3.3 Nemotron Super 49b v1.5 | Qwen2.5 7B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.5% |
| Omni-MATH | — | 29.4% |
| LMArena Math | 1392 | — |
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 7B Instruct: 17.0 (#286)
| Benchmark | Nvidia Llama 3.3 Nemotron Super 49b v1.5 | Qwen2.5 7B Instruct |
|---|---|---|
| GPQA Diamond | — | 35.5% |
| MMLU-Pro | — | 53.9% |
| GPQA (HELM) | — | 34.1% |
| LMArena Expert | 1330 | — |
| MMLU | — | 72.9% |
Multilingual Not comparable
Nvidia Llama 3.3 Nemotron Super 49b v1.5: 45.5 (#168), Qwen2.5 7B Instruct: —
| Benchmark | Nvidia Llama 3.3 Nemotron Super 49b v1.5 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Non-English | 1316 | — |
| LMArena Japanese | 1300 | — |
| LMArena Russian | 1332 | — |
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 7B Instruct: 63.2 (#231)
| Benchmark | Nvidia Llama 3.3 Nemotron Super 49b v1.5 | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | — | 74.1% |
| LMArena Instruction Following | 1299 | — |
Long Context Not comparable
Nvidia Llama 3.3 Nemotron Super 49b v1.5: 40.0 (#164), Qwen2.5 7B Instruct: —
| Benchmark | Nvidia Llama 3.3 Nemotron Super 49b v1.5 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Longer Query | 1315 | — |
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 7B Instruct: 48.8 (#195)
| Benchmark | Nvidia Llama 3.3 Nemotron Super 49b v1.5 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Text | 1338 | — |
| LMArena Creative Writing | 1307 | — |
| WildBench | — | 73.1% |
| LMArena Multi-Turn | 1334 | — |
Frequently asked questions
Is Nvidia Llama 3.3 Nemotron Super 49b v1.5 better than Qwen2.5 7B Instruct?
Nvidia Llama 3.3 Nemotron Super 49b v1.5 is the stronger model overall, scoring 40.3 to 29.0 on the Noometry Index.
Which is cheaper, Nvidia Llama 3.3 Nemotron Super 49b v1.5 or Qwen2.5 7B Instruct?
Qwen2.5 7B Instruct is cheaper. It lists at $0.17 per million input tokens and $0.70 per million output tokens; Nvidia Llama 3.3 Nemotron Super 49b v1.5 lists at $0.40 and $0.40.
Is Nvidia Llama 3.3 Nemotron Super 49b v1.5 or Qwen2.5 7B Instruct better for coding?
Nvidia Llama 3.3 Nemotron Super 49b v1.5 scores higher on coding benchmarks: 39.8 versus 36.5 in the Noometry coding category.
Which has the bigger context window?
Both accept 131K tokens.
How many benchmarks do Nvidia Llama 3.3 Nemotron Super 49b v1.5 and Qwen2.5 7B Instruct share?
0 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 7B Instruct has 15.