Model comparison
Llama 3.1 Nemotron 51b Instruct vs Qwen3.5-9B
Llama 3.1 Nemotron 51b Instruct is the stronger model overall, scoring 35.9 to 33.8 on the Noometry Index.
Last verified . 0 shared benchmarks.
NVIDIA
Alibaba (Qwen)Summary
- The widest gap is in knowledge, where Qwen3.5-9B leads 46.0 to 31.9.
Side by side
| Llama 3.1 Nemotron 51b Instruct | Qwen3.5-9B | |
|---|---|---|
| Provider | NVIDIA | Alibaba (Qwen) |
| Noometry Index | 35.9 | 33.8 |
| Released | — | 2026-02-23 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.15 |
| Results tracked | 12 | 10 |
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Category by category
Coding Too close to call
Llama 3.1 Nemotron 51b Instruct: 35.6 (#222), Qwen3.5-9B: 35.9 (#217)
| Benchmark | Llama 3.1 Nemotron 51b Instruct | Qwen3.5-9B |
|---|---|---|
| SciCode | — | 27.5% |
| LMArena Coding | 1223 | — |
Agentic & Tool Use Not comparable
Llama 3.1 Nemotron 51b Instruct: —, Qwen3.5-9B: 14.5 (#151)
| Benchmark | Llama 3.1 Nemotron 51b Instruct | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | — | 9.2% |
Reasoning Too close to call
Llama 3.1 Nemotron 51b Instruct: 23.5 (#177), Qwen3.5-9B: 23.1 (#182)
| Benchmark | Llama 3.1 Nemotron 51b Instruct | Qwen3.5-9B |
|---|---|---|
| CritPt | — | 0.3% |
| Chess Puzzles | — | 12% |
| LMArena Hard Prompts | 1203 | — |
| DTBench | — | 71.2% |
| LMCA | — | 24.5% |
| Epoch Capabilities Index | — | 139.46 |
Math Too close to call
Llama 3.1 Nemotron 51b Instruct: 34.6 (#193), Qwen3.5-9B: 34.8 (#192)
| Benchmark | Llama 3.1 Nemotron 51b Instruct | Qwen3.5-9B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 48.5% |
| OTIS Mock AIME 2024-2025 | — | 61.7% |
| LMArena Math | 1230 | — |
Knowledge Qwen3.5-9B leads
Llama 3.1 Nemotron 51b Instruct: 31.9 (#218), Qwen3.5-9B: 46.0 (#84)
| Benchmark | Llama 3.1 Nemotron 51b Instruct | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | — | 79% |
| LMArena Expert | 1167 | — |
Multilingual Not comparable
Llama 3.1 Nemotron 51b Instruct: 36.1 (#241), Qwen3.5-9B: —
| Benchmark | Llama 3.1 Nemotron 51b Instruct | Qwen3.5-9B |
|---|---|---|
| LMArena Non-English | 1181 | — |
| LMArena Chinese | 1180 | — |
| LMArena Russian | 1187 | — |
Instruction Following Not comparable
Llama 3.1 Nemotron 51b Instruct: 62.9 (#233), Qwen3.5-9B: —
| Benchmark | Llama 3.1 Nemotron 51b Instruct | Qwen3.5-9B |
|---|---|---|
| LMArena Instruction Following | 1201 | — |
Long Context Not comparable
Llama 3.1 Nemotron 51b Instruct: 36.5 (#230), Qwen3.5-9B: —
| Benchmark | Llama 3.1 Nemotron 51b Instruct | Qwen3.5-9B |
|---|---|---|
| LMArena Longer Query | 1205 | — |
Writing & Preference Not comparable
Llama 3.1 Nemotron 51b Instruct: 43.4 (#229), Qwen3.5-9B: —
| Benchmark | Llama 3.1 Nemotron 51b Instruct | Qwen3.5-9B |
|---|---|---|
| LMArena Text | 1228 | — |
| LMArena Creative Writing | 1213 | — |
| LMArena Multi-Turn | 1227 | — |
Frequently asked questions
Is Llama 3.1 Nemotron 51b Instruct better than Qwen3.5-9B?
Llama 3.1 Nemotron 51b Instruct is the stronger model overall, scoring 35.9 to 33.8 on the Noometry Index.
Is Llama 3.1 Nemotron 51b Instruct or Qwen3.5-9B better for coding?
They score almost the same on coding (35.6 vs 35.9); test both on your own repository before choosing.
How many benchmarks do Llama 3.1 Nemotron 51b Instruct and Qwen3.5-9B share?
0 benchmarks have published results for both models. Llama 3.1 Nemotron 51b Instruct has 12 scored results on Noometry and Qwen3.5-9B has 10.