Model comparison
Amazon Nova Experimental Chat 26 02 10 vs Qwen3.8 Max
Qwen3.8 Max is the stronger model overall, scoring 56.8 to 44.5 on the Noometry Index.
Last verified . 12 shared benchmarks.
Alibaba (Qwen)Summary
- They share 12 benchmarks with published results for both. Amazon Nova Experimental Chat 26 02 10 scores higher in 0 categories and Qwen3.8 Max in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3.8 Max leads 73.2 to 39.3.
Side by side
| Amazon Nova Experimental Chat 26 02 10 | Qwen3.8 Max | |
|---|---|---|
| Provider | Amazon | Alibaba (Qwen) |
| Noometry Index | 44.5 | 56.8 |
| Released | — | 2026-08-02 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1M |
| Max output | — | 131K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 12 | 39 |
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Category by category
Coding Qwen3.8 Max leads
Amazon Nova Experimental Chat 26 02 10: 43.9 (#82), Qwen3.8 Max: 53.5 (#29)
| Benchmark | Amazon Nova Experimental Chat 26 02 10 | Qwen3.8 Max |
|---|---|---|
| LMArena Coding | 1483 | 1502 |
| DeepSWE | — | 57.5% |
| LMArena WebDev | — | 1674 |
| FrontierSWE | — | 17.8% |
| SciCode | — | 53.2% |
Agentic & Tool Use Not comparable
Amazon Nova Experimental Chat 26 02 10: —, Qwen3.8 Max: 45.4 (#14)
| Benchmark | Amazon Nova Experimental Chat 26 02 10 | Qwen3.8 Max |
|---|---|---|
| APEX-Agents | — | 63.3% |
| τ²-bench Banking | — | 55.1% |
| GDP.pdf | — | 23.2% |
Reasoning Qwen3.8 Max leads
Amazon Nova Experimental Chat 26 02 10: 30.1 (#86), Qwen3.8 Max: 54.4 (#26)
| Benchmark | Amazon Nova Experimental Chat 26 02 10 | Qwen3.8 Max |
|---|---|---|
| LMArena Hard Prompts | 1458 | 1496 |
| NYT Connections (extended) | — | 88.3% |
| CritPt | — | 20% |
| Chess Puzzles | — | 40% |
| Mystery Game Puzzles | — | 38% |
| DTBench | — | 92% |
| LMCA | — | 46.2% |
| Epoch Capabilities Index | — | 156.41 |
Math Qwen3.8 Max leads
Amazon Nova Experimental Chat 26 02 10: 39.3 (#109), Qwen3.8 Max: 73.2 (#20)
| Benchmark | Amazon Nova Experimental Chat 26 02 10 | Qwen3.8 Max |
|---|---|---|
| LMArena Math | 1438 | 1499 |
| FrontierMath (Tiers 1-3) | — | 74.7% |
| FrontierMath Tier 4 | — | 46.3% |
| OTIS Mock AIME 2024-2025 | — | 100% |
| ProofBench | — | 58% |
Knowledge Qwen3.8 Max leads
Amazon Nova Experimental Chat 26 02 10: 42.3 (#97), Qwen3.8 Max: 61.7 (#27)
| Benchmark | Amazon Nova Experimental Chat 26 02 10 | Qwen3.8 Max |
|---|---|---|
| LMArena Expert | 1506 | 1507 |
| GPQA Diamond | — | 92.7% |
| SimpleQA Verified | — | 47.3% |
Multimodal Not comparable
Amazon Nova Experimental Chat 26 02 10: —, Qwen3.8 Max: 37.2 (#75)
| Benchmark | Amazon Nova Experimental Chat 26 02 10 | Qwen3.8 Max |
|---|---|---|
| LMArena Vision | — | 1314 |
| Furniture Assembly | — | 20% |
Multilingual Qwen3.8 Max leads
Amazon Nova Experimental Chat 26 02 10: 54.0 (#50), Qwen3.8 Max: 56.7 (#18)
| Benchmark | Amazon Nova Experimental Chat 26 02 10 | Qwen3.8 Max |
|---|---|---|
| LMArena Non-English | 1434 | 1472 |
| LMArena Chinese | 1463 | 1538 |
| LMArena Russian | 1423 | 1481 |
| LMArena French | — | 1503 |
| LMArena German | — | 1483 |
| LMArena Japanese | — | 1467 |
| LMArena Korean | — | 1461 |
| LMArena Spanish | — | 1492 |
Instruction Following Qwen3.8 Max leads
Amazon Nova Experimental Chat 26 02 10: 75.2 (#69), Qwen3.8 Max: 77.6 (#17)
| Benchmark | Amazon Nova Experimental Chat 26 02 10 | Qwen3.8 Max |
|---|---|---|
| LMArena Instruction Following | 1427 | 1479 |
Long Context Qwen3.8 Max leads
Amazon Nova Experimental Chat 26 02 10: 44.0 (#77), Qwen3.8 Max: 45.6 (#31)
| Benchmark | Amazon Nova Experimental Chat 26 02 10 | Qwen3.8 Max |
|---|---|---|
| LMArena Longer Query | 1441 | 1489 |
Writing & Preference Qwen3.8 Max leads
Amazon Nova Experimental Chat 26 02 10: 61.8 (#84), Qwen3.8 Max: 67.1 (#30)
| Benchmark | Amazon Nova Experimental Chat 26 02 10 | Qwen3.8 Max |
|---|---|---|
| LMArena Text | 1448 | 1483 |
| LMArena Creative Writing | 1368 | 1479 |
| LMArena Multi-Turn | 1442 | 1489 |
Frequently asked questions
Is Amazon Nova Experimental Chat 26 02 10 better than Qwen3.8 Max?
Qwen3.8 Max is the stronger model overall, scoring 56.8 to 44.5 on the Noometry Index.
Is Amazon Nova Experimental Chat 26 02 10 or Qwen3.8 Max better for coding?
Qwen3.8 Max scores higher on coding benchmarks: 53.5 versus 43.9 in the Noometry coding category.
How many benchmarks do Amazon Nova Experimental Chat 26 02 10 and Qwen3.8 Max share?
12 benchmarks have published results for both models. Amazon Nova Experimental Chat 26 02 10 has 12 scored results on Noometry and Qwen3.8 Max has 39.