Model comparison
Amazon Nova Experimental Chat 10 20 vs DeepSeek-V3.2-Speciale
Amazon Nova Experimental Chat 10 20 is the stronger model overall, scoring 42.1 to 39.7 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeekSummary
- The widest gap is in writing & preference, where Amazon Nova Experimental Chat 10 20 leads 56.6 to 46.0.
- DeepSeek-V3.2-Speciale has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Experimental Chat 10 20 | DeepSeek-V3.2-Speciale | |
|---|---|---|
| Provider | Amazon | DeepSeek |
| Noometry Index | 42.1 | 39.7 |
| Released | — | 2025-12-01 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 128K |
| Input $ / M tokens | — | $0.58 |
| Output $ / M tokens | — | $1.68 |
| Results tracked | 17 | 3 |
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Category by category
Coding Amazon Nova Experimental Chat 10 20 leads
Amazon Nova Experimental Chat 10 20: 41.6 (#123), DeepSeek-V3.2-Speciale: 40.4 (#140)
| Benchmark | Amazon Nova Experimental Chat 10 20 | DeepSeek-V3.2-Speciale |
|---|---|---|
| WeirdML | — | 46.7% |
| LMArena Coding | 1412 | — |
Reasoning DeepSeek-V3.2-Speciale leads
Amazon Nova Experimental Chat 10 20: 28.4 (#106), DeepSeek-V3.2-Speciale: 32.9 (#73)
| Benchmark | Amazon Nova Experimental Chat 10 20 | DeepSeek-V3.2-Speciale |
|---|---|---|
| SimpleBench | — | 52.6% |
| LMArena Hard Prompts | 1396 | — |
Math Not comparable
Amazon Nova Experimental Chat 10 20: 39.0 (#119), DeepSeek-V3.2-Speciale: —
| Benchmark | Amazon Nova Experimental Chat 10 20 | DeepSeek-V3.2-Speciale |
|---|---|---|
| LMArena Math | 1425 | — |
Knowledge Not comparable
Amazon Nova Experimental Chat 10 20: 38.5 (#144), DeepSeek-V3.2-Speciale: —
| Benchmark | Amazon Nova Experimental Chat 10 20 | DeepSeek-V3.2-Speciale |
|---|---|---|
| LMArena Expert | 1386 | — |
Multilingual Not comparable
Amazon Nova Experimental Chat 10 20: 49.5 (#131), DeepSeek-V3.2-Speciale: —
| Benchmark | Amazon Nova Experimental Chat 10 20 | DeepSeek-V3.2-Speciale |
|---|---|---|
| LMArena Non-English | 1372 | — |
| LMArena Chinese | 1404 | — |
| LMArena French | 1425 | — |
| LMArena German | 1391 | — |
| LMArena Japanese | 1360 | — |
| LMArena Korean | 1324 | — |
| LMArena Russian | 1371 | — |
| LMArena Spanish | 1382 | — |
Instruction Following Not comparable
Amazon Nova Experimental Chat 10 20: 72.1 (#141), DeepSeek-V3.2-Speciale: —
| Benchmark | Amazon Nova Experimental Chat 10 20 | DeepSeek-V3.2-Speciale |
|---|---|---|
| LMArena Instruction Following | 1365 | — |
Long Context Not comparable
Amazon Nova Experimental Chat 10 20: 41.7 (#133), DeepSeek-V3.2-Speciale: —
| Benchmark | Amazon Nova Experimental Chat 10 20 | DeepSeek-V3.2-Speciale |
|---|---|---|
| LMArena Longer Query | 1370 | — |
Writing & Preference Amazon Nova Experimental Chat 10 20 leads
Amazon Nova Experimental Chat 10 20: 56.6 (#136), DeepSeek-V3.2-Speciale: 46.0 (#222)
| Benchmark | Amazon Nova Experimental Chat 10 20 | DeepSeek-V3.2-Speciale |
|---|---|---|
| LMArena Text | 1394 | — |
| LMArena Creative Writing | 1318 | — |
| EQ-Bench Creative Writing | — | 1276 |
| LMArena Multi-Turn | 1364 | — |
Frequently asked questions
Is Amazon Nova Experimental Chat 10 20 better than DeepSeek-V3.2-Speciale?
Amazon Nova Experimental Chat 10 20 is the stronger model overall, scoring 42.1 to 39.7 on the Noometry Index.
Is Amazon Nova Experimental Chat 10 20 or DeepSeek-V3.2-Speciale better for coding?
Amazon Nova Experimental Chat 10 20 scores higher on coding benchmarks: 41.6 versus 40.4 in the Noometry coding category.
How many benchmarks do Amazon Nova Experimental Chat 10 20 and DeepSeek-V3.2-Speciale share?
0 benchmarks have published results for both models. Amazon Nova Experimental Chat 10 20 has 17 scored results on Noometry and DeepSeek-V3.2-Speciale has 3.