Model comparison
Llama 3.1 Nemotron 70b Instruct vs Qwen3.5-9B
Llama 3.1 Nemotron 70b Instruct is the stronger model overall, scoring 37.6 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 34.1.
Side by side
| Llama 3.1 Nemotron 70b Instruct | Qwen3.5-9B | |
|---|---|---|
| Provider | NVIDIA | Alibaba (Qwen) |
| Noometry Index | 37.6 | 33.8 |
| Released | 2024-12-18 | 2026-02-23 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.15 |
| Results tracked | 14 | 10 |
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Category by category
Coding Too close to call
Llama 3.1 Nemotron 70b Instruct: 35.9 (#216), Qwen3.5-9B: 35.9 (#217)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Qwen3.5-9B |
|---|---|---|
| SciCode | — | 27.5% |
| BigCodeBench Instruct | 38.7% | — |
| LMArena Coding | 1272 | — |
| BigCodeBench Complete | 48.2% | — |
Agentic & Tool Use Not comparable
Llama 3.1 Nemotron 70b Instruct: —, Qwen3.5-9B: 14.5 (#151)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | — | 9.2% |
Reasoning Llama 3.1 Nemotron 70b Instruct leads
Llama 3.1 Nemotron 70b Instruct: 25.0 (#152), Qwen3.5-9B: 23.1 (#182)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Qwen3.5-9B |
|---|---|---|
| CritPt | — | 0.3% |
| Chess Puzzles | — | 12% |
| LMArena Hard Prompts | 1266 | — |
| DTBench | — | 71.2% |
| LMCA | — | 24.5% |
| Epoch Capabilities Index | — | 139.46 |
Math Too close to call
Llama 3.1 Nemotron 70b Instruct: 35.5 (#182), Qwen3.5-9B: 34.8 (#192)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Qwen3.5-9B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 48.5% |
| OTIS Mock AIME 2024-2025 | — | 61.7% |
| LMArena Math | 1271 | — |
Knowledge Qwen3.5-9B leads
Llama 3.1 Nemotron 70b Instruct: 34.1 (#199), Qwen3.5-9B: 46.0 (#84)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | — | 79% |
| LMArena Expert | 1242 | — |
Multilingual Not comparable
Llama 3.1 Nemotron 70b Instruct: 40.5 (#217), Qwen3.5-9B: —
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Qwen3.5-9B |
|---|---|---|
| LMArena Non-English | 1245 | — |
| LMArena Chinese | 1263 | — |
| LMArena Russian | 1227 | — |
Instruction Following Not comparable
Llama 3.1 Nemotron 70b Instruct: 65.9 (#213), Qwen3.5-9B: —
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Qwen3.5-9B |
|---|---|---|
| LMArena Instruction Following | 1252 | — |
Long Context Not comparable
Llama 3.1 Nemotron 70b Instruct: 37.6 (#215), Qwen3.5-9B: —
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Qwen3.5-9B |
|---|---|---|
| LMArena Longer Query | 1238 | — |
Writing & Preference Not comparable
Llama 3.1 Nemotron 70b Instruct: 48.4 (#203), Qwen3.5-9B: —
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Qwen3.5-9B |
|---|---|---|
| LMArena Text | 1283 | — |
| LMArena Creative Writing | 1269 | — |
| LMArena Multi-Turn | 1275 | — |
Frequently asked questions
Is Llama 3.1 Nemotron 70b Instruct better than Qwen3.5-9B?
Llama 3.1 Nemotron 70b Instruct is the stronger model overall, scoring 37.6 to 33.8 on the Noometry Index.
Is Llama 3.1 Nemotron 70b Instruct or Qwen3.5-9B better for coding?
They score almost the same on coding (35.9 vs 35.9); test both on your own repository before choosing.
How many benchmarks do Llama 3.1 Nemotron 70b Instruct and Qwen3.5-9B share?
0 benchmarks have published results for both models. Llama 3.1 Nemotron 70b Instruct has 14 scored results on Noometry and Qwen3.5-9B has 10.