Model comparison
Amazon Nova Pro vs Qwen3-Coder 480B-A35B Instruct
Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 38.1 to 31.0 on the Noometry Index. Amazon Nova Pro costs 2.1× less per token, which makes it the better buy when Qwen3-Coder 480B-A35B Instruct's lead doesn't matter for your workload.
Last verified . 17 shared benchmarks.
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Amazon Nova Pro scores higher in 0 categories and Qwen3-Coder 480B-A35B Instruct in 9 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3-Coder 480B-A35B Instruct leads 55.3 to 43.9.
- Amazon Nova Pro is cheaper at $0.80 / $3.20 per million input/output tokens, against $1.50 / $7.50 for Qwen3-Coder 480B-A35B Instruct.
- Amazon Nova Pro accepts more context: 300K tokens versus 262K.
- Qwen3-Coder 480B-A35B Instruct has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Pro | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | Amazon | Alibaba (Qwen) |
| Noometry Index | 31.0 | 38.1 |
| Released | 2024-12-03 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | 300K | 262K |
| Max output | 10K | 66K |
| Input $ / M tokens | $0.80 | $1.50 |
| Output $ / M tokens | $3.20 | $7.50 |
| Results tracked | 38 | 25 |
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Category by category
Coding Too close to call
Amazon Nova Pro: 35.1 (#229), Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)
| Benchmark | Amazon Nova Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Coding | 1270 | 1412 |
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1275 |
| GSO | — | 4.9% |
| WeirdML | — | 41.2% |
| LiveBench Coding | 38.1% | — |
| ALE-Bench | — | 461.45 |
| AlgoTune | — | 1.44 |
Agentic & Tool Use Qwen3-Coder 480B-A35B Instruct leads
Amazon Nova Pro: 16.7 (#147), Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)
| Benchmark | Amazon Nova Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
| Berkeley Function Calling Leaderboard | 25% | — |
| TheAgentCompany | 1.7% | — |
Reasoning Qwen3-Coder 480B-A35B Instruct leads
Amazon Nova Pro: 20.0 (#243), Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)
| Benchmark | Amazon Nova Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1246 | 1372 |
| Kagi LLM Benchmark | — | 49.5% |
| LiveBench Reasoning | 32.6% | — |
| LiveBench Data Analysis | 48.3% | — |
| Epoch Capabilities Index | 123.8 | — |
| LiveBench | 43.5% | — |
Math Qwen3-Coder 480B-A35B Instruct leads
Amazon Nova Pro: 28.5 (#243), Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)
| Benchmark | Amazon Nova Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1252 | 1365 |
| Omni-MATH | 24.2% | — |
| LiveBench Math | 38% | — |
Knowledge Qwen3-Coder 480B-A35B Instruct leads
Amazon Nova Pro: 27.4 (#250), Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)
| Benchmark | Amazon Nova Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1211 | 1338 |
| Humanity's Last Exam | 4.4% | — |
| MMLU-Pro | 67.3% | — |
| Confabulations | 30.1% | — |
| Vectara Hallucination Rate | 5.1% | — |
| GPQA (HELM) | 44.6% | — |
| MMLU | 82% | — |
Multimodal Not comparable
Amazon Nova Pro: 25.0 (#126), Qwen3-Coder 480B-A35B Instruct: —
| Benchmark | Amazon Nova Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Vision | 980 | — |
Multilingual Qwen3-Coder 480B-A35B Instruct leads
Amazon Nova Pro: 39.7 (#223), Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)
| Benchmark | Amazon Nova Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1234 | 1346 |
| LMArena Chinese | 1244 | 1357 |
| LMArena French | 1271 | 1398 |
| LMArena German | 1243 | 1325 |
| LMArena Japanese | 1200 | 1310 |
| LMArena Korean | 1203 | 1305 |
| LMArena Russian | 1240 | 1366 |
| LMArena Spanish | 1182 | 1360 |
Instruction Following Qwen3-Coder 480B-A35B Instruct leads
Amazon Nova Pro: 64.9 (#226), Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)
| Benchmark | Amazon Nova Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1235 | 1355 |
| LiveBench Instruction Following | 67.1% | — |
| IFEval | 81.5% | — |
Long Context Qwen3-Coder 480B-A35B Instruct leads
Amazon Nova Pro: 38.1 (#205), Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)
| Benchmark | Amazon Nova Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1255 | 1378 |
Writing & Preference Qwen3-Coder 480B-A35B Instruct leads
Amazon Nova Pro: 43.9 (#226), Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)
| Benchmark | Amazon Nova Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1259 | 1357 |
| LMArena Creative Writing | 1212 | 1333 |
| LMArena Multi-Turn | 1246 | 1365 |
| Short-Story Creative Writing | 60.5% | — |
| WildBench | 77.7% | — |
| LiveBench Language | 37% | — |
Frequently asked questions
Is Amazon Nova Pro better than Qwen3-Coder 480B-A35B Instruct?
Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 38.1 to 31.0 on the Noometry Index. Amazon Nova Pro costs 2.1× less per token, which makes it the better buy when Qwen3-Coder 480B-A35B Instruct's lead doesn't matter for your workload.
Which is cheaper, Amazon Nova Pro or Qwen3-Coder 480B-A35B Instruct?
Amazon Nova Pro is cheaper. It lists at $0.80 per million input tokens and $3.20 per million output tokens; Qwen3-Coder 480B-A35B Instruct lists at $1.50 and $7.50.
Is Amazon Nova Pro or Qwen3-Coder 480B-A35B Instruct better for coding?
They score almost the same on coding (35.1 vs 35.5); 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-Coder 480B-A35B Instruct share?
17 benchmarks have published results for both models. Amazon Nova Pro has 38 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.