Model comparison
Amazon Nova Experimental Chat 10 20 vs DeepSeek-V3.1
Amazon Nova Experimental Chat 10 20 and DeepSeek-V3.1 score almost the same on the Noometry Index (42.1 vs 42.8), so choose on price, context window or the category you care about most.
Last verified . 17 shared benchmarks.
DeepSeekSummary
- They share 17 benchmarks with published results for both. Amazon Nova Experimental Chat 10 20 scores higher in 4 categories and DeepSeek-V3.1 in 4 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in long context, where Amazon Nova Experimental Chat 10 20 leads 41.7 to 36.3.
- DeepSeek-V3.1 has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Experimental Chat 10 20 | DeepSeek-V3.1 | |
|---|---|---|
| Provider | Amazon | DeepSeek |
| Noometry Index | 42.1 | 42.8 |
| Released | — | 2025-08-21 |
| Weights | Proprietary | Open |
| Context window | — | 164K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $0.95 |
| Results tracked | 17 | 27 |
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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-V3.1: 40.3 (#144)
| Benchmark | Amazon Nova Experimental Chat 10 20 | DeepSeek-V3.1 |
|---|---|---|
| LMArena Coding | 1412 | 1417 |
| WeirdML | — | 38.4% |
Reasoning Too close to call
Amazon Nova Experimental Chat 10 20: 28.4 (#106), DeepSeek-V3.1: 27.9 (#110)
| Benchmark | Amazon Nova Experimental Chat 10 20 | DeepSeek-V3.1 |
|---|---|---|
| LMArena Hard Prompts | 1396 | 1417 |
| SimpleBench | — | 40% |
| Kagi LLM Benchmark | — | 53.2% |
| DTBench | — | 82.7% |
| LMCA | — | 24.3% |
| Epoch Capabilities Index | — | 139.92 |
| ForecastBench | — | 58 |
Math Too close to call
Amazon Nova Experimental Chat 10 20: 39.0 (#119), DeepSeek-V3.1: 38.9 (#122)
| Benchmark | Amazon Nova Experimental Chat 10 20 | DeepSeek-V3.1 |
|---|---|---|
| LMArena Math | 1425 | 1420 |
Knowledge DeepSeek-V3.1 leads
Amazon Nova Experimental Chat 10 20: 38.5 (#144), DeepSeek-V3.1: 43.7 (#90)
| Benchmark | Amazon Nova Experimental Chat 10 20 | DeepSeek-V3.1 |
|---|---|---|
| LMArena Expert | 1386 | 1405 |
| Vectara Hallucination Rate | — | 5.5% |
Multilingual DeepSeek-V3.1 leads
Amazon Nova Experimental Chat 10 20: 49.5 (#131), DeepSeek-V3.1: 51.6 (#106)
| Benchmark | Amazon Nova Experimental Chat 10 20 | DeepSeek-V3.1 |
|---|---|---|
| LMArena Non-English | 1372 | 1400 |
| LMArena Chinese | 1404 | 1469 |
| LMArena French | 1425 | 1447 |
| LMArena German | 1391 | 1411 |
| LMArena Japanese | 1360 | 1378 |
| LMArena Korean | 1324 | 1337 |
| LMArena Russian | 1371 | 1405 |
| LMArena Spanish | 1382 | 1431 |
Instruction Following DeepSeek-V3.1 leads
Amazon Nova Experimental Chat 10 20: 72.1 (#141), DeepSeek-V3.1: 73.9 (#110)
| Benchmark | Amazon Nova Experimental Chat 10 20 | DeepSeek-V3.1 |
|---|---|---|
| LMArena Instruction Following | 1365 | 1400 |
Long Context Amazon Nova Experimental Chat 10 20 leads
Amazon Nova Experimental Chat 10 20: 41.7 (#133), DeepSeek-V3.1: 36.3 (#232)
| Benchmark | Amazon Nova Experimental Chat 10 20 | DeepSeek-V3.1 |
|---|---|---|
| LMArena Longer Query | 1370 | 1422 |
| Fiction.LiveBench | — | 52.8% |
Writing & Preference DeepSeek-V3.1 leads
Amazon Nova Experimental Chat 10 20: 56.6 (#136), DeepSeek-V3.1: 60.3 (#98)
| Benchmark | Amazon Nova Experimental Chat 10 20 | DeepSeek-V3.1 |
|---|---|---|
| LMArena Text | 1394 | 1420 |
| LMArena Creative Writing | 1318 | 1401 |
| LMArena Multi-Turn | 1364 | 1408 |
| EQ-Bench Creative Writing | — | 1436 |
Frequently asked questions
Is Amazon Nova Experimental Chat 10 20 better than DeepSeek-V3.1?
Amazon Nova Experimental Chat 10 20 and DeepSeek-V3.1 score almost the same on the Noometry Index (42.1 vs 42.8), so choose on price, context window or the category you care about most.
Is Amazon Nova Experimental Chat 10 20 or DeepSeek-V3.1 better for coding?
Amazon Nova Experimental Chat 10 20 scores higher on coding benchmarks: 41.6 versus 40.3 in the Noometry coding category.
How many benchmarks do Amazon Nova Experimental Chat 10 20 and DeepSeek-V3.1 share?
17 benchmarks have published results for both models. Amazon Nova Experimental Chat 10 20 has 17 scored results on Noometry and DeepSeek-V3.1 has 27.