Model comparison
Amazon Nova Experimental Chat 12 10 vs DeepSeek V4.1 Flash
DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 42.3 on the Noometry Index.
Last verified . 12 shared benchmarks.
Summary
- They share 12 benchmarks with published results for both. Amazon Nova Experimental Chat 12 10 scores higher in 0 categories and DeepSeek V4.1 Flash in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4.1 Flash leads 46.2 to 28.1.
- DeepSeek V4.1 Flash has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Experimental Chat 12 10 | DeepSeek V4.1 Flash | |
|---|---|---|
| Provider | Amazon | DeepSeek |
| Noometry Index | 42.3 | 50.3 |
| Released | — | 2026-09-09 |
| Weights | Proprietary | Open |
| Context window | — | 1M |
| Max output | — | 393K |
| Input $ / M tokens | — | $0.15 |
| Output $ / M tokens | — | $0.60 |
| Results tracked | 12 | 25 |
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Category by category
Coding DeepSeek V4.1 Flash leads
Amazon Nova Experimental Chat 12 10: 41.5 (#112), DeepSeek V4.1 Flash: 52.8 (#29)
| Benchmark | Amazon Nova Experimental Chat 12 10 | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Coding | 1430 | 1511 |
| LMArena WebDev | — | 1620 |
| SciCode | — | 51.9% |
| ALE-Bench | — | 1,092 |
Reasoning DeepSeek V4.1 Flash leads
Amazon Nova Experimental Chat 12 10: 28.1 (#93), DeepSeek V4.1 Flash: 46.2 (#39)
| Benchmark | Amazon Nova Experimental Chat 12 10 | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Hard Prompts | 1427 | 1485 |
| NYT Connections (extended) | — | 89.6% |
| CritPt | — | 14.3% |
| DTBench | — | 89.9% |
| LMCA | — | 47% |
| Surface Evolver Bench | — | 46.3% |
| Epoch Capabilities Index | — | 155.01 |
Math DeepSeek V4.1 Flash leads
Amazon Nova Experimental Chat 12 10: 36.1 (#130), DeepSeek V4.1 Flash: 48.4 (#52)
| Benchmark | Amazon Nova Experimental Chat 12 10 | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Math | 1418 | 1493 |
| ProofBench | — | 54% |
Knowledge DeepSeek V4.1 Flash leads
Amazon Nova Experimental Chat 12 10: 38.6 (#133), DeepSeek V4.1 Flash: 41.6 (#97)
| Benchmark | Amazon Nova Experimental Chat 12 10 | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Expert | 1409 | 1505 |
Multilingual DeepSeek V4.1 Flash leads
Amazon Nova Experimental Chat 12 10: 51.7 (#103), DeepSeek V4.1 Flash: 55.5 (#29)
| Benchmark | Amazon Nova Experimental Chat 12 10 | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Non-English | 1399 | 1452 |
| LMArena Chinese | 1440 | 1506 |
| LMArena Russian | 1397 | 1473 |
| LMArena French | — | 1448 |
| LMArena Spanish | — | 1499 |
Instruction Following DeepSeek V4.1 Flash leads
Amazon Nova Experimental Chat 12 10: 73.4 (#117), DeepSeek V4.1 Flash: 77.6 (#24)
| Benchmark | Amazon Nova Experimental Chat 12 10 | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Instruction Following | 1387 | 1475 |
Long Context DeepSeek V4.1 Flash leads
Amazon Nova Experimental Chat 12 10: 42.4 (#120), DeepSeek V4.1 Flash: 45.2 (#46)
| Benchmark | Amazon Nova Experimental Chat 12 10 | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Longer Query | 1391 | 1476 |
Writing & Preference DeepSeek V4.1 Flash leads
Amazon Nova Experimental Chat 12 10: 59.7 (#104), DeepSeek V4.1 Flash: 65.8 (#43)
| Benchmark | Amazon Nova Experimental Chat 12 10 | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Text | 1420 | 1465 |
| LMArena Creative Writing | 1351 | 1436 |
| LMArena Multi-Turn | 1409 | 1460 |
| EQ-Bench Creative Writing | — | 1540 |
Frequently asked questions
Is Amazon Nova Experimental Chat 12 10 better than DeepSeek V4.1 Flash?
DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 42.3 on the Noometry Index.
Is Amazon Nova Experimental Chat 12 10 or DeepSeek V4.1 Flash better for coding?
DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.8 versus 41.5 in the Noometry coding category.
How many benchmarks do Amazon Nova Experimental Chat 12 10 and DeepSeek V4.1 Flash share?
12 benchmarks have published results for both models. Amazon Nova Experimental Chat 12 10 has 12 scored results on Noometry and DeepSeek V4.1 Flash has 25.