Model comparison
Amazon Nova Pro vs Qwen3.5-9B
Qwen3.5-9B is the stronger model overall, scoring 33.8 to 31.0 on the Noometry Index.
Last verified . 1 shared benchmarks.
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. Amazon Nova Pro scores higher in 1 category and Qwen3.5-9B in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5-9B leads 46.0 to 27.4.
- Qwen3.5-9B is cheaper at $0.10 / $0.15 per million input/output tokens, against $0.80 / $3.20 for Amazon Nova Pro.
- Amazon Nova Pro accepts more context: 300K tokens versus 262K.
- Qwen3.5-9B has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Pro | Qwen3.5-9B | |
|---|---|---|
| Provider | Amazon | Alibaba (Qwen) |
| Noometry Index | 31.0 | 33.8 |
| Released | 2024-12-03 | 2026-02-23 |
| Weights | Proprietary | Open |
| Context window | 300K | 262K |
| Max output | 10K | 66K |
| Input $ / M tokens | $0.80 | $0.10 |
| Output $ / M tokens | $3.20 | $0.15 |
| Results tracked | 38 | 10 |
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Category by category
Coding Too close to call
Amazon Nova Pro: 35.1 (#229), Qwen3.5-9B: 35.9 (#217)
| Benchmark | Amazon Nova Pro | Qwen3.5-9B |
|---|---|---|
| SciCode | — | 27.5% |
| LiveBench Coding | 38.1% | — |
| LMArena Coding | 1270 | — |
Agentic & Tool Use Amazon Nova Pro leads
Amazon Nova Pro: 16.7 (#147), Qwen3.5-9B: 14.5 (#151)
| Benchmark | Amazon Nova Pro | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | — | 9.2% |
| Berkeley Function Calling Leaderboard | 25% | — |
| TheAgentCompany | 1.7% | — |
Reasoning Qwen3.5-9B leads
Amazon Nova Pro: 20.0 (#243), Qwen3.5-9B: 23.1 (#182)
| Benchmark | Amazon Nova Pro | Qwen3.5-9B |
|---|---|---|
| Epoch Capabilities Index | 123.8 | 139.46 |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 12% |
| LiveBench Reasoning | 32.6% | — |
| LMArena Hard Prompts | 1246 | — |
| DTBench | — | 71.2% |
| LiveBench Data Analysis | 48.3% | — |
| LMCA | — | 24.5% |
| LiveBench | 43.5% | — |
Math Qwen3.5-9B leads
Amazon Nova Pro: 28.5 (#243), Qwen3.5-9B: 34.8 (#192)
| Benchmark | Amazon Nova Pro | Qwen3.5-9B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 48.5% |
| OTIS Mock AIME 2024-2025 | — | 61.7% |
| Omni-MATH | 24.2% | — |
| LiveBench Math | 38% | — |
| LMArena Math | 1252 | — |
Knowledge Qwen3.5-9B leads
Amazon Nova Pro: 27.4 (#250), Qwen3.5-9B: 46.0 (#84)
| Benchmark | Amazon Nova Pro | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | — | 79% |
| Humanity's Last Exam | 4.4% | — |
| MMLU-Pro | 67.3% | — |
| Confabulations | 30.1% | — |
| Vectara Hallucination Rate | 5.1% | — |
| GPQA (HELM) | 44.6% | — |
| LMArena Expert | 1211 | — |
| MMLU | 82% | — |
Multimodal Not comparable
Amazon Nova Pro: 25.0 (#126), Qwen3.5-9B: —
| Benchmark | Amazon Nova Pro | Qwen3.5-9B |
|---|---|---|
| LMArena Vision | 980 | — |
Multilingual Not comparable
Amazon Nova Pro: 39.7 (#223), Qwen3.5-9B: —
| Benchmark | Amazon Nova Pro | Qwen3.5-9B |
|---|---|---|
| LMArena Non-English | 1234 | — |
| LMArena Chinese | 1244 | — |
| LMArena French | 1271 | — |
| LMArena German | 1243 | — |
| LMArena Japanese | 1200 | — |
| LMArena Korean | 1203 | — |
| LMArena Russian | 1240 | — |
| LMArena Spanish | 1182 | — |
Instruction Following Not comparable
Amazon Nova Pro: 64.9 (#226), Qwen3.5-9B: —
| Benchmark | Amazon Nova Pro | Qwen3.5-9B |
|---|---|---|
| LiveBench Instruction Following | 67.1% | — |
| IFEval | 81.5% | — |
| LMArena Instruction Following | 1235 | — |
Long Context Not comparable
Amazon Nova Pro: 38.1 (#205), Qwen3.5-9B: —
| Benchmark | Amazon Nova Pro | Qwen3.5-9B |
|---|---|---|
| LMArena Longer Query | 1255 | — |
Writing & Preference Not comparable
Amazon Nova Pro: 43.9 (#226), Qwen3.5-9B: —
| Benchmark | Amazon Nova Pro | Qwen3.5-9B |
|---|---|---|
| LMArena Text | 1259 | — |
| LMArena Creative Writing | 1212 | — |
| Short-Story Creative Writing | 60.5% | — |
| WildBench | 77.7% | — |
| LMArena Multi-Turn | 1246 | — |
| LiveBench Language | 37% | — |
Frequently asked questions
Is Amazon Nova Pro better than Qwen3.5-9B?
Qwen3.5-9B is the stronger model overall, scoring 33.8 to 31.0 on the Noometry Index.
Which is cheaper, Amazon Nova Pro or Qwen3.5-9B?
Qwen3.5-9B is cheaper. It lists at $0.10 per million input tokens and $0.15 per million output tokens; Amazon Nova Pro lists at $0.80 and $3.20.
Is Amazon Nova Pro or Qwen3.5-9B better for coding?
They score almost the same on coding (35.1 vs 35.9); test both on your own repository before choosing.
Which has the bigger context window?
Amazon Nova Pro does, with 300K tokens against 262K.
How many benchmarks do Amazon Nova Pro and Qwen3.5-9B share?
1 benchmark has published results for both models. Amazon Nova Pro has 38 scored results on Noometry and Qwen3.5-9B has 10.