Model comparison
Amazon Nova Pro vs Qwen3-30B-A3B
Qwen3-30B-A3B is the stronger model overall, scoring 38.9 to 31.0 on the Noometry Index.
Last verified . 21 shared benchmarks.
Summary
- They share 21 benchmarks with published results for both. Amazon Nova Pro scores higher in 1 category and Qwen3-30B-A3B in 8 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3-30B-A3B leads 41.8 to 27.4.
- The biggest single-benchmark swing is Confabulations: 30.1% for Amazon Nova Pro and 12.3% for Qwen3-30B-A3B.
- Qwen3-30B-A3B is cheaper at $0.12 / $0.50 per million input/output tokens, against $0.80 / $3.20 for Amazon Nova Pro.
- Amazon Nova Pro accepts more context: 300K tokens versus 41K.
- Qwen3-30B-A3B has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Pro | Qwen3-30B-A3B | |
|---|---|---|
| Provider | Amazon | Alibaba (Qwen) |
| Noometry Index | 31.0 | 38.9 |
| Released | 2024-12-03 | 2025-04-28 |
| Weights | Proprietary | Open |
| Context window | 300K | 41K |
| Max output | 10K | 16K |
| Input $ / M tokens | $0.80 | $0.12 |
| Output $ / M tokens | $3.20 | $0.50 |
| Results tracked | 38 | 32 |
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Category by category
Coding Qwen3-30B-A3B leads
Amazon Nova Pro: 35.1 (#229), Qwen3-30B-A3B: 37.5 (#194)
| Benchmark | Amazon Nova Pro | Qwen3-30B-A3B |
|---|---|---|
| LMArena Coding | 1270 | 1416 |
| SciCode | — | 33.3% |
| WeirdML | — | 29.8% |
| LiveBench Coding | 38.1% | — |
Agentic & Tool Use Qwen3-30B-A3B leads
Amazon Nova Pro: 16.7 (#147), Qwen3-30B-A3B: 29.8 (#82)
| Benchmark | Amazon Nova Pro | Qwen3-30B-A3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 25% | 41.4% |
| TheAgentCompany | 1.7% | — |
Reasoning Qwen3-30B-A3B leads
Amazon Nova Pro: 20.0 (#243), Qwen3-30B-A3B: 22.2 (#204)
| Benchmark | Amazon Nova Pro | Qwen3-30B-A3B |
|---|---|---|
| LMArena Hard Prompts | 1246 | 1398 |
| Epoch Capabilities Index | 123.8 | 139.63 |
| Kagi LLM Benchmark | — | 54.9% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 8% |
| LiveBench Reasoning | 32.6% | — |
| DTBench | — | 69.3% |
| LiveBench Data Analysis | 48.3% | — |
| LMCA | — | 22.4% |
| LiveBench | 43.5% | — |
Math Qwen3-30B-A3B leads
Amazon Nova Pro: 28.5 (#243), Qwen3-30B-A3B: 37.4 (#157)
| Benchmark | Amazon Nova Pro | Qwen3-30B-A3B |
|---|---|---|
| LMArena Math | 1252 | 1394 |
| MathArena Final-Answer Competitions | — | 47.8% |
| OTIS Mock AIME 2024-2025 | — | 70.3% |
| Omni-MATH | 24.2% | — |
| LiveBench Math | 38% | — |
Knowledge Qwen3-30B-A3B leads
Amazon Nova Pro: 27.4 (#250), Qwen3-30B-A3B: 41.8 (#105)
| Benchmark | Amazon Nova Pro | Qwen3-30B-A3B |
|---|---|---|
| Confabulations | 30.1% | 12.3% |
| LMArena Expert | 1211 | 1396 |
| GPQA Diamond | — | 70.1% |
| Humanity's Last Exam | 4.4% | — |
| MMLU-Pro | 67.3% | — |
| Vectara Hallucination Rate | 5.1% | — |
| GPQA (HELM) | 44.6% | — |
| MMLU | 82% | — |
Multimodal Not comparable
Amazon Nova Pro: 25.0 (#126), Qwen3-30B-A3B: —
| Benchmark | Amazon Nova Pro | Qwen3-30B-A3B |
|---|---|---|
| LMArena Vision | 980 | — |
Multilingual Qwen3-30B-A3B leads
Amazon Nova Pro: 39.7 (#223), Qwen3-30B-A3B: 49.5 (#132)
| Benchmark | Amazon Nova Pro | Qwen3-30B-A3B |
|---|---|---|
| LMArena Non-English | 1234 | 1372 |
| LMArena Chinese | 1244 | 1433 |
| LMArena French | 1271 | 1418 |
| LMArena German | 1243 | 1380 |
| LMArena Japanese | 1200 | 1337 |
| LMArena Korean | 1203 | 1331 |
| LMArena Russian | 1240 | 1370 |
| LMArena Spanish | 1182 | 1404 |
Instruction Following Qwen3-30B-A3B leads
Amazon Nova Pro: 64.9 (#226), Qwen3-30B-A3B: 72.0 (#142)
| Benchmark | Amazon Nova Pro | Qwen3-30B-A3B |
|---|---|---|
| LMArena Instruction Following | 1235 | 1363 |
| LiveBench Instruction Following | 67.1% | — |
| IFEval | 81.5% | — |
Long Context Amazon Nova Pro leads
Amazon Nova Pro: 38.1 (#205), Qwen3-30B-A3B: 31.0 (#283)
| Benchmark | Amazon Nova Pro | Qwen3-30B-A3B |
|---|---|---|
| LMArena Longer Query | 1255 | 1379 |
| Fiction.LiveBench | — | 40.6% |
Writing & Preference Qwen3-30B-A3B leads
Amazon Nova Pro: 43.9 (#226), Qwen3-30B-A3B: 55.6 (#143)
| Benchmark | Amazon Nova Pro | Qwen3-30B-A3B |
|---|---|---|
| LMArena Text | 1259 | 1384 |
| LMArena Creative Writing | 1212 | 1317 |
| Short-Story Creative Writing | 60.5% | 75.3% |
| LMArena Multi-Turn | 1246 | 1378 |
| WildBench | 77.7% | — |
| LiveBench Language | 37% | — |
Frequently asked questions
Is Amazon Nova Pro better than Qwen3-30B-A3B?
Qwen3-30B-A3B is the stronger model overall, scoring 38.9 to 31.0 on the Noometry Index.
Which is cheaper, Amazon Nova Pro or Qwen3-30B-A3B?
Qwen3-30B-A3B is cheaper. It lists at $0.12 per million input tokens and $0.50 per million output tokens; Amazon Nova Pro lists at $0.80 and $3.20.
Is Amazon Nova Pro or Qwen3-30B-A3B better for coding?
Qwen3-30B-A3B scores higher on coding benchmarks: 37.5 versus 35.1 in the Noometry coding category.
Which has the bigger context window?
Amazon Nova Pro does, with 300K tokens against 41K.
How many benchmarks do Amazon Nova Pro and Qwen3-30B-A3B share?
21 benchmarks have published results for both models. Amazon Nova Pro has 38 scored results on Noometry and Qwen3-30B-A3B has 32.