Model comparison
Amazon Nova Pro vs Qwen3.8 27B
Qwen3.8 27B is the stronger model overall, scoring 46.0 to 31.0 on the Noometry Index.
Last verified . 19 shared benchmarks.
Alibaba (Qwen)Summary
- They share 19 benchmarks with published results for both. Amazon Nova Pro scores higher in 0 categories and Qwen3.8 27B in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3.8 27B leads 65.8 to 43.9.
- Qwen3.8 27B is cheaper at $0.99 / $1.49 per million input/output tokens, against $0.80 / $3.20 for Amazon Nova Pro.
- Amazon Nova Pro accepts more context: 300K tokens versus 262K.
- Qwen3.8 27B has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Pro | Qwen3.8 27B | |
|---|---|---|
| Provider | Amazon | Alibaba (Qwen) |
| Noometry Index | 31.0 | 46.0 |
| Released | 2024-12-03 | 2026-08-14 |
| Weights | Proprietary | Open |
| Context window | 300K | 262K |
| Max output | 10K | 33K |
| Input $ / M tokens | $0.80 | $0.99 |
| Output $ / M tokens | $3.20 | $1.49 |
| Results tracked | 38 | 31 |
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Category by category
Coding Qwen3.8 27B leads
Amazon Nova Pro: 35.1 (#229), Qwen3.8 27B: 50.5 (#44)
| Benchmark | Amazon Nova Pro | Qwen3.8 27B |
|---|---|---|
| LMArena Coding | 1270 | 1482 |
| LMArena WebDev | — | 1593 |
| SciCode | — | 46.6% |
| LiveBench Coding | 38.1% | — |
Agentic & Tool Use Qwen3.8 27B leads
Amazon Nova Pro: 16.7 (#147), Qwen3.8 27B: 32.9 (#57)
| Benchmark | Amazon Nova Pro | Qwen3.8 27B |
|---|---|---|
| APEX-Agents | — | 47.5% |
| Berkeley Function Calling Leaderboard | 25% | — |
| TheAgentCompany | 1.7% | — |
Reasoning Qwen3.8 27B leads
Amazon Nova Pro: 20.0 (#243), Qwen3.8 27B: 41.0 (#54)
| Benchmark | Amazon Nova Pro | Qwen3.8 27B |
|---|---|---|
| LMArena Hard Prompts | 1246 | 1460 |
| Epoch Capabilities Index | 123.8 | 149.38 |
| ARC-AGI-2 | — | 42.4% |
| NYT Connections (extended) | — | 54.5% |
| ARC-AGI-1 | — | 87.5% |
| CritPt | — | 5.4% |
| LiveBench Reasoning | 32.6% | — |
| DTBench | — | 88% |
| LiveBench Data Analysis | 48.3% | — |
| LMCA | — | 41.4% |
| Surface Evolver Bench | — | 45% |
| LiveBench | 43.5% | — |
Math Qwen3.8 27B leads
Amazon Nova Pro: 28.5 (#243), Qwen3.8 27B: 37.1 (#161)
| Benchmark | Amazon Nova Pro | Qwen3.8 27B |
|---|---|---|
| LMArena Math | 1252 | 1456 |
| ProofBench | — | 16% |
| Omni-MATH | 24.2% | — |
| LiveBench Math | 38% | — |
Knowledge Qwen3.8 27B leads
Amazon Nova Pro: 27.4 (#250), Qwen3.8 27B: 41.6 (#109)
| Benchmark | Amazon Nova Pro | Qwen3.8 27B |
|---|---|---|
| LMArena Expert | 1211 | 1482 |
| 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 Qwen3.8 27B leads
Amazon Nova Pro: 25.0 (#126), Qwen3.8 27B: 41.3 (#37)
| Benchmark | Amazon Nova Pro | Qwen3.8 27B |
|---|---|---|
| LMArena Vision | 980 | 1271 |
Multilingual Qwen3.8 27B leads
Amazon Nova Pro: 39.7 (#223), Qwen3.8 27B: 53.7 (#60)
| Benchmark | Amazon Nova Pro | Qwen3.8 27B |
|---|---|---|
| LMArena Non-English | 1234 | 1430 |
| LMArena Chinese | 1244 | 1504 |
| LMArena French | 1271 | 1465 |
| LMArena German | 1243 | 1438 |
| LMArena Japanese | 1200 | 1384 |
| LMArena Korean | 1203 | 1393 |
| LMArena Russian | 1240 | 1415 |
| LMArena Spanish | 1182 | 1448 |
Instruction Following Qwen3.8 27B leads
Amazon Nova Pro: 64.9 (#226), Qwen3.8 27B: 75.8 (#53)
| Benchmark | Amazon Nova Pro | Qwen3.8 27B |
|---|---|---|
| LMArena Instruction Following | 1235 | 1439 |
| LiveBench Instruction Following | 67.1% | — |
| IFEval | 81.5% | — |
Long Context Qwen3.8 27B leads
Amazon Nova Pro: 38.1 (#205), Qwen3.8 27B: 44.3 (#70)
| Benchmark | Amazon Nova Pro | Qwen3.8 27B |
|---|---|---|
| LMArena Longer Query | 1255 | 1450 |
Writing & Preference Qwen3.8 27B leads
Amazon Nova Pro: 43.9 (#226), Qwen3.8 27B: 65.8 (#43)
| Benchmark | Amazon Nova Pro | Qwen3.8 27B |
|---|---|---|
| LMArena Text | 1259 | 1441 |
| LMArena Creative Writing | 1212 | 1384 |
| LMArena Multi-Turn | 1246 | 1441 |
| Short-Story Creative Writing | 60.5% | — |
| EQ-Bench Creative Writing | — | 1671 |
| WildBench | 77.7% | — |
| LiveBench Language | 37% | — |
Frequently asked questions
Is Amazon Nova Pro better than Qwen3.8 27B?
Qwen3.8 27B is the stronger model overall, scoring 46.0 to 31.0 on the Noometry Index.
Which is cheaper, Amazon Nova Pro or Qwen3.8 27B?
Qwen3.8 27B is cheaper. It lists at $0.99 per million input tokens and $1.49 per million output tokens; Amazon Nova Pro lists at $0.80 and $3.20.
Is Amazon Nova Pro or Qwen3.8 27B better for coding?
Qwen3.8 27B scores higher on coding benchmarks: 50.5 versus 35.1 in the Noometry coding category.
Which has the bigger context window?
Amazon Nova Pro does, with 300K tokens against 262K.
How many benchmarks do Amazon Nova Pro and Qwen3.8 27B share?
19 benchmarks have published results for both models. Amazon Nova Pro has 38 scored results on Noometry and Qwen3.8 27B has 31.