Model comparison
Amazon Nova Experimental Chat 10 20 vs Qwen2.5-Max
Amazon Nova Experimental Chat 10 20 is the stronger model overall, scoring 42.1 to 40.7 on the Noometry Index.
Last verified . 17 shared benchmarks.
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Amazon Nova Experimental Chat 10 20 scores higher in 7 categories and Qwen2.5-Max in 1 category; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Amazon Nova Experimental Chat 10 20 leads 38.5 to 35.3.
Side by side
| Amazon Nova Experimental Chat 10 20 | Qwen2.5-Max | |
|---|---|---|
| Provider | Amazon | Alibaba (Qwen) |
| Noometry Index | 42.1 | 40.7 |
| Released | — | 2025-01-25 |
| Weights | Proprietary | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 17 | 27 |
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Category by category
Coding Too close to call
Amazon Nova Experimental Chat 10 20: 41.6 (#123), Qwen2.5-Max: 41.8 (#117)
| Benchmark | Amazon Nova Experimental Chat 10 20 | Qwen2.5-Max |
|---|---|---|
| LMArena Coding | 1412 | 1359 |
| LiveBench Coding | — | 64.4% |
Reasoning Amazon Nova Experimental Chat 10 20 leads
Amazon Nova Experimental Chat 10 20: 28.4 (#106), Qwen2.5-Max: 25.6 (#147)
| Benchmark | Amazon Nova Experimental Chat 10 20 | Qwen2.5-Max |
|---|---|---|
| LMArena Hard Prompts | 1396 | 1360 |
| LiveBench Reasoning | — | 51.4% |
| LiveBench Data Analysis | — | 67.9% |
| Epoch Capabilities Index | — | 132.53 |
| LiveBench | — | 62.3% |
Math Amazon Nova Experimental Chat 10 20 leads
Amazon Nova Experimental Chat 10 20: 39.0 (#119), Qwen2.5-Max: 36.9 (#162)
| Benchmark | Amazon Nova Experimental Chat 10 20 | Qwen2.5-Max |
|---|---|---|
| LMArena Math | 1425 | 1369 |
| LiveBench Math | — | 58.4% |
Knowledge Amazon Nova Experimental Chat 10 20 leads
Amazon Nova Experimental Chat 10 20: 38.5 (#144), Qwen2.5-Max: 35.3 (#186)
| Benchmark | Amazon Nova Experimental Chat 10 20 | Qwen2.5-Max |
|---|---|---|
| LMArena Expert | 1386 | 1337 |
| Confabulations | — | 21.8% |
Multilingual Amazon Nova Experimental Chat 10 20 leads
Amazon Nova Experimental Chat 10 20: 49.5 (#131), Qwen2.5-Max: 48.1 (#146)
| Benchmark | Amazon Nova Experimental Chat 10 20 | Qwen2.5-Max |
|---|---|---|
| LMArena Non-English | 1372 | 1352 |
| LMArena Chinese | 1404 | 1382 |
| LMArena French | 1425 | 1396 |
| LMArena German | 1391 | 1350 |
| LMArena Japanese | 1360 | 1300 |
| LMArena Korean | 1324 | 1304 |
| LMArena Russian | 1371 | 1353 |
| LMArena Spanish | 1382 | 1377 |
Instruction Following Too close to call
Amazon Nova Experimental Chat 10 20: 72.1 (#141), Qwen2.5-Max: 71.3 (#152)
| Benchmark | Amazon Nova Experimental Chat 10 20 | Qwen2.5-Max |
|---|---|---|
| LMArena Instruction Following | 1365 | 1335 |
| LiveBench Instruction Following | — | 75.3% |
Long Context Too close to call
Amazon Nova Experimental Chat 10 20: 41.7 (#133), Qwen2.5-Max: 41.4 (#142)
| Benchmark | Amazon Nova Experimental Chat 10 20 | Qwen2.5-Max |
|---|---|---|
| LMArena Longer Query | 1370 | 1358 |
Writing & Preference Amazon Nova Experimental Chat 10 20 leads
Amazon Nova Experimental Chat 10 20: 56.6 (#136), Qwen2.5-Max: 55.4 (#146)
| Benchmark | Amazon Nova Experimental Chat 10 20 | Qwen2.5-Max |
|---|---|---|
| LMArena Text | 1394 | 1367 |
| LMArena Creative Writing | 1318 | 1339 |
| LMArena Multi-Turn | 1364 | 1364 |
| Short-Story Creative Writing | — | 72.9% |
| LiveBench Language | — | 56.3% |
Frequently asked questions
Is Amazon Nova Experimental Chat 10 20 better than Qwen2.5-Max?
Amazon Nova Experimental Chat 10 20 is the stronger model overall, scoring 42.1 to 40.7 on the Noometry Index.
Is Amazon Nova Experimental Chat 10 20 or Qwen2.5-Max better for coding?
They score almost the same on coding (41.6 vs 41.8); test both on your own repository before choosing.
How many benchmarks do Amazon Nova Experimental Chat 10 20 and Qwen2.5-Max share?
17 benchmarks have published results for both models. Amazon Nova Experimental Chat 10 20 has 17 scored results on Noometry and Qwen2.5-Max has 27.