Model comparison
Amazon Nova Experimental Chat 26 01 10 vs DeepSeek V4.1 Flash
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 42.8 on the Noometry Index.
Last verified . 13 shared benchmarks.
DeepSeekSummary
- They share 13 benchmarks with published results for both. Amazon Nova Experimental Chat 26 01 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 math, where DeepSeek V4.1 Flash leads 66.7 to 38.5.
- DeepSeek V4.1 Flash has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Experimental Chat 26 01 10 | DeepSeek V4.1 Flash | |
|---|---|---|
| Provider | Amazon | DeepSeek |
| Noometry Index | 42.8 | 52.8 |
| 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 | 13 | 37 |
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Category by category
Coding DeepSeek V4.1 Flash leads
Amazon Nova Experimental Chat 26 01 10: 42.7 (#96), DeepSeek V4.1 Flash: 52.9 (#32)
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Coding | 1447 | 1506 |
| LMArena WebDev | — | 1619 |
| SciCode | — | 51.9% |
| ALE-Bench | — | 1,092 |
Agentic & Tool Use Not comparable
Amazon Nova Experimental Chat 26 01 10: —, DeepSeek V4.1 Flash: 31.2 (#69)
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | DeepSeek V4.1 Flash |
|---|---|---|
| APEX-Agents | — | 39.5% |
| GDP.pdf | — | 19.8% |
Reasoning DeepSeek V4.1 Flash leads
Amazon Nova Experimental Chat 26 01 10: 28.9 (#98), DeepSeek V4.1 Flash: 50.2 (#36)
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Hard Prompts | 1415 | 1483 |
| NYT Connections (extended) | — | 89.6% |
| CritPt | — | 14.3% |
| Mystery Game Puzzles | — | 43% |
| DTBench | — | 89.9% |
| LMCA | — | 47% |
| Surface Evolver Bench | — | 46.3% |
| Epoch Capabilities Index | — | 154.9 |
Math DeepSeek V4.1 Flash leads
Amazon Nova Experimental Chat 26 01 10: 38.5 (#136), DeepSeek V4.1 Flash: 66.7 (#25)
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Math | 1404 | 1477 |
| FrontierMath (Tiers 1-3) | — | 67.4% |
| FrontierMath Tier 4 | — | 26.8% |
| OTIS Mock AIME 2024-2025 | — | 98.3% |
| ProofBench | — | 54% |
Knowledge DeepSeek V4.1 Flash leads
Amazon Nova Experimental Chat 26 01 10: 40.3 (#120), DeepSeek V4.1 Flash: 57.9 (#38)
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Expert | 1444 | 1506 |
| GPQA Diamond | — | 89.8% |
Multimodal Not comparable
Amazon Nova Experimental Chat 26 01 10: —, DeepSeek V4.1 Flash: 39.1 (#61)
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Vision | — | 1277 |
| Furniture Assembly | — | 34.2% |
Multilingual DeepSeek V4.1 Flash leads
Amazon Nova Experimental Chat 26 01 10: 50.2 (#126), DeepSeek V4.1 Flash: 55.0 (#35)
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Non-English | 1381 | 1448 |
| LMArena Chinese | 1372 | 1497 |
| LMArena Russian | 1391 | 1471 |
| LMArena Spanish | 1390 | 1459 |
| LMArena French | — | 1452 |
| LMArena German | — | 1484 |
| LMArena Japanese | — | 1412 |
| LMArena Korean | — | 1452 |
Instruction Following DeepSeek V4.1 Flash leads
Amazon Nova Experimental Chat 26 01 10: 72.9 (#126), DeepSeek V4.1 Flash: 77.3 (#26)
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Instruction Following | 1381 | 1474 |
Long Context DeepSeek V4.1 Flash leads
Amazon Nova Experimental Chat 26 01 10: 42.7 (#119), DeepSeek V4.1 Flash: 45.2 (#47)
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Longer Query | 1400 | 1475 |
Writing & Preference DeepSeek V4.1 Flash leads
Amazon Nova Experimental Chat 26 01 10: 57.4 (#129), DeepSeek V4.1 Flash: 65.4 (#48)
| Benchmark | Amazon Nova Experimental Chat 26 01 10 | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Text | 1396 | 1462 |
| LMArena Creative Writing | 1331 | 1435 |
| LMArena Multi-Turn | 1380 | 1457 |
| EQ-Bench Creative Writing | — | 1540 |
Frequently asked questions
Is Amazon Nova Experimental Chat 26 01 10 better than DeepSeek V4.1 Flash?
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 42.8 on the Noometry Index.
Is Amazon Nova Experimental Chat 26 01 10 or DeepSeek V4.1 Flash better for coding?
DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 42.7 in the Noometry coding category.
How many benchmarks do Amazon Nova Experimental Chat 26 01 10 and DeepSeek V4.1 Flash share?
13 benchmarks have published results for both models. Amazon Nova Experimental Chat 26 01 10 has 13 scored results on Noometry and DeepSeek V4.1 Flash has 37.