Model comparison
Amazon Nova Experimental Chat 26 01 10 vs Qwen3.6 35B-A3B
Amazon Nova Experimental Chat 26 01 10 is the stronger model overall, scoring 42.8 to 37.6 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in knowledge, where Qwen3.6 35B-A3B leads 51.3 to 40.3.
- Qwen3.6 35B-A3B has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Experimental Chat 26 01 10 | Qwen3.6 35B-A3B | |
|---|---|---|
| Provider | Amazon | Alibaba (Qwen) |
| Noometry Index | 42.8 | 37.6 |
| Released | — | 2026-04-01 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $1.49 |
| Results tracked | 13 | 14 |
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Category by category
Coding Amazon Nova Experimental Chat 26 01 10 leads
Amazon Nova Experimental Chat 26 01 10: 42.7 (#96), Qwen3.6 35B-A3B: 37.2 (#196)
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | Qwen3.6 35B-A3B |
|---|---|---|
| SciCode | — | 35.8% |
| WeirdML | — | 34.5% |
| LMArena Coding | 1447 | — |
Agentic & Tool Use Not comparable
Amazon Nova Experimental Chat 26 01 10: —, Qwen3.6 35B-A3B: 22.1 (#134)
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | Qwen3.6 35B-A3B |
|---|---|---|
| Terminal-Bench | — | 23% |
Reasoning Too close to call
Amazon Nova Experimental Chat 26 01 10: 28.9 (#98), Qwen3.6 35B-A3B: 28.0 (#109)
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | Qwen3.6 35B-A3B |
|---|---|---|
| NYT Connections (extended) | — | 41.6% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 26% |
| LMArena Hard Prompts | 1415 | — |
| Mystery Game Puzzles | — | 22% |
| DTBench | — | 73.9% |
| LMCA | — | 29.7% |
| Surface Evolver Bench | — | 44.4% |
| Epoch Capabilities Index | — | 143.93 |
Math Too close to call
Amazon Nova Experimental Chat 26 01 10: 38.5 (#136), Qwen3.6 35B-A3B: 38.9 (#121)
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | Qwen3.6 35B-A3B |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 20.4% |
| OTIS Mock AIME 2024-2025 | — | 86.7% |
| LMArena Math | 1404 | — |
Knowledge Qwen3.6 35B-A3B leads
Amazon Nova Experimental Chat 26 01 10: 40.3 (#120), Qwen3.6 35B-A3B: 51.3 (#68)
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | Qwen3.6 35B-A3B |
|---|---|---|
| GPQA Diamond | — | 84.8% |
| LMArena Expert | 1444 | — |
Multilingual Not comparable
Amazon Nova Experimental Chat 26 01 10: 50.2 (#126), Qwen3.6 35B-A3B: —
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Non-English | 1381 | — |
| LMArena Chinese | 1372 | — |
| LMArena Russian | 1391 | — |
| LMArena Spanish | 1390 | — |
Instruction Following Not comparable
Amazon Nova Experimental Chat 26 01 10: 72.9 (#126), Qwen3.6 35B-A3B: —
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Instruction Following | 1381 | — |
Long Context Not comparable
Amazon Nova Experimental Chat 26 01 10: 42.7 (#119), Qwen3.6 35B-A3B: —
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Longer Query | 1400 | — |
Writing & Preference Not comparable
Amazon Nova Experimental Chat 26 01 10: 57.4 (#129), Qwen3.6 35B-A3B: —
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Text | 1396 | — |
| LMArena Creative Writing | 1331 | — |
| LMArena Multi-Turn | 1380 | — |
Frequently asked questions
Is Amazon Nova Experimental Chat 26 01 10 better than Qwen3.6 35B-A3B?
Amazon Nova Experimental Chat 26 01 10 is the stronger model overall, scoring 42.8 to 37.6 on the Noometry Index.
Is Amazon Nova Experimental Chat 26 01 10 or Qwen3.6 35B-A3B better for coding?
Amazon Nova Experimental Chat 26 01 10 scores higher on coding benchmarks: 42.7 versus 37.2 in the Noometry coding category.
How many benchmarks do Amazon Nova Experimental Chat 26 01 10 and Qwen3.6 35B-A3B share?
0 benchmarks have published results for both models. Amazon Nova Experimental Chat 26 01 10 has 13 scored results on Noometry and Qwen3.6 35B-A3B has 14.