Model comparison
Amazon Nova Experimental Chat 10 20 vs Qwen3 14B
Amazon Nova Experimental Chat 10 20 is the stronger model overall, scoring 41.5 to 35.0 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in reasoning, where Amazon Nova Experimental Chat 10 20 leads 27.3 to 18.1.
- Qwen3 14B has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Experimental Chat 10 20 | Qwen3 14B | |
|---|---|---|
| Provider | Amazon | Alibaba (Qwen) |
| Noometry Index | 41.5 | 35.0 |
| Released | — | 2025-04 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.35 |
| Output $ / M tokens | — | $1.40 |
| Results tracked | 17 | 12 |
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Category by category
Coding Amazon Nova Experimental Chat 10 20 leads
Amazon Nova Experimental Chat 10 20: 41.0 (#123), Qwen3 14B: 36.7 (#191)
| Benchmark | Amazon Nova Experimental Chat 10 20 | Qwen3 14B |
|---|---|---|
| SciCode | — | 31.6% |
| LMArena Coding | 1413 | — |
Agentic & Tool Use Not comparable
Amazon Nova Experimental Chat 10 20: —, Qwen3 14B: 29.4 (#78)
| Benchmark | Amazon Nova Experimental Chat 10 20 | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |
Reasoning Amazon Nova Experimental Chat 10 20 leads
Amazon Nova Experimental Chat 10 20: 27.3 (#110), Qwen3 14B: 18.1 (#272)
| Benchmark | Amazon Nova Experimental Chat 10 20 | Qwen3 14B |
|---|---|---|
| Kagi LLM Benchmark | — | 49.1% |
| CritPt | — | 0% |
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 1396 | — |
| DTBench | — | 64% |
| LMCA | — | 18.2% |
| Epoch Capabilities Index | — | 138.23 |
Math Too close to call
Amazon Nova Experimental Chat 10 20: 36.2 (#121), Qwen3 14B: 37.0 (#102)
| Benchmark | Amazon Nova Experimental Chat 10 20 | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 66.4% |
| LMArena Math | 1425 | — |
Knowledge Qwen3 14B leads
Amazon Nova Experimental Chat 10 20: 37.8 (#142), Qwen3 14B: 39.2 (#124)
| Benchmark | Amazon Nova Experimental Chat 10 20 | Qwen3 14B |
|---|---|---|
| GPQA Diamond | — | 63.8% |
| Vectara Hallucination Rate | — | 5.4% |
| LMArena Expert | 1385 | — |
Multilingual Not comparable
Amazon Nova Experimental Chat 10 20: 49.7 (#127), Qwen3 14B: —
| Benchmark | Amazon Nova Experimental Chat 10 20 | Qwen3 14B |
|---|---|---|
| LMArena Non-English | 1372 | — |
| LMArena Chinese | 1405 | — |
| LMArena French | 1426 | — |
| LMArena German | 1391 | — |
| LMArena Japanese | 1355 | — |
| LMArena Korean | 1327 | — |
| LMArena Russian | 1371 | — |
| LMArena Spanish | 1381 | — |
Instruction Following Not comparable
Amazon Nova Experimental Chat 10 20: 72.3 (#136), Qwen3 14B: —
| Benchmark | Amazon Nova Experimental Chat 10 20 | Qwen3 14B |
|---|---|---|
| LMArena Instruction Following | 1365 | — |
Long Context Amazon Nova Experimental Chat 10 20 leads
Amazon Nova Experimental Chat 10 20: 41.7 (#128), Qwen3 14B: 38.0 (#201)
| Benchmark | Amazon Nova Experimental Chat 10 20 | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |
| LMArena Longer Query | 1370 | — |
Writing & Preference Not comparable
Amazon Nova Experimental Chat 10 20: 56.9 (#131), Qwen3 14B: —
| Benchmark | Amazon Nova Experimental Chat 10 20 | Qwen3 14B |
|---|---|---|
| LMArena Text | 1394 | — |
| LMArena Creative Writing | 1318 | — |
| LMArena Multi-Turn | 1364 | — |
Frequently asked questions
Is Amazon Nova Experimental Chat 10 20 better than Qwen3 14B?
Amazon Nova Experimental Chat 10 20 is the stronger model overall, scoring 41.5 to 35.0 on the Noometry Index.
Is Amazon Nova Experimental Chat 10 20 or Qwen3 14B better for coding?
Amazon Nova Experimental Chat 10 20 scores higher on coding benchmarks: 41.0 versus 36.7 in the Noometry coding category.
How many benchmarks do Amazon Nova Experimental Chat 10 20 and Qwen3 14B share?
0 benchmarks have published results for both models. Amazon Nova Experimental Chat 10 20 has 17 scored results on Noometry and Qwen3 14B has 12.