Model comparison
Amazon Nova Experimental Chat 26 02 10 vs DeepSeek V4 Flash
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 44.5 on the Noometry Index.
Last verified . 12 shared benchmarks.
DeepSeekSummary
- They share 12 benchmarks with published results for both. Amazon Nova Experimental Chat 26 02 10 scores higher in 3 categories and DeepSeek V4 Flash in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4 Flash leads 53.7 to 30.1.
- DeepSeek V4 Flash has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Experimental Chat 26 02 10 | DeepSeek V4 Flash | |
|---|---|---|
| Provider | Amazon | DeepSeek |
| Noometry Index | 44.5 | 53.6 |
| Released | — | 2026-04-24 |
| Weights | Proprietary | Open |
| Context window | — | 1M |
| Max output | — | 393K |
| Input $ / M tokens | — | $0.15 |
| Output $ / M tokens | — | $0.60 |
| Results tracked | 12 | 41 |
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Category by category
Coding DeepSeek V4 Flash leads
Amazon Nova Experimental Chat 26 02 10: 43.9 (#82), DeepSeek V4 Flash: 47.9 (#59)
| Benchmark | Amazon Nova Experimental Chat 26 02 10 | DeepSeek V4 Flash |
|---|---|---|
| LMArena Coding | 1483 | 1457 |
| FrontierCode | — | 18.8% |
| LMArena WebDev | — | 1582 |
| SciCode | — | 49.9% |
| WeirdML | — | 63% |
| ALE-Bench | — | 1,306 |
Reasoning DeepSeek V4 Flash leads
Amazon Nova Experimental Chat 26 02 10: 30.1 (#86), DeepSeek V4 Flash: 53.7 (#30)
| Benchmark | Amazon Nova Experimental Chat 26 02 10 | DeepSeek V4 Flash |
|---|---|---|
| LMArena Hard Prompts | 1458 | 1444 |
| ARC-AGI-2 | — | 61.4% |
| SimpleBench | — | 61.1% |
| Kagi LLM Benchmark | — | 52.2% |
| NYT Connections (extended) | — | 89.6% |
| ARC-AGI-1 | — | 89% |
| CritPt | — | 16.6% |
| Chess Puzzles | — | 33% |
| Mystery Game Puzzles | — | 34% |
| DTBench | — | 90.9% |
| LMCA | — | 41.7% |
| Epoch Capabilities Index | — | 154.49 |
Math DeepSeek V4 Flash leads
Amazon Nova Experimental Chat 26 02 10: 39.3 (#109), DeepSeek V4 Flash: 60.3 (#37)
| Benchmark | Amazon Nova Experimental Chat 26 02 10 | DeepSeek V4 Flash |
|---|---|---|
| LMArena Math | 1438 | 1427 |
| FrontierMath (Tiers 1-3) | — | 57.5% |
| FrontierMath Tier 4 | — | 24.4% |
| MathArena Final-Answer Competitions | — | 76.5% |
| OTIS Mock AIME 2024-2025 | — | 94.4% |
| ProofBench | — | 56% |
Knowledge DeepSeek V4 Flash leads
Amazon Nova Experimental Chat 26 02 10: 42.3 (#97), DeepSeek V4 Flash: 55.4 (#48)
| Benchmark | Amazon Nova Experimental Chat 26 02 10 | DeepSeek V4 Flash |
|---|---|---|
| LMArena Expert | 1506 | 1441 |
| GPQA Diamond | — | 91% |
| SimpleQA Verified | — | 33.6% |
Multilingual Amazon Nova Experimental Chat 26 02 10 leads
Amazon Nova Experimental Chat 26 02 10: 54.0 (#50), DeepSeek V4 Flash: 53.0 (#72)
| Benchmark | Amazon Nova Experimental Chat 26 02 10 | DeepSeek V4 Flash |
|---|---|---|
| LMArena Non-English | 1434 | 1420 |
| LMArena Chinese | 1463 | 1468 |
| LMArena Russian | 1423 | 1428 |
| LMArena French | — | 1439 |
| LMArena German | — | 1418 |
| LMArena Japanese | — | 1406 |
| LMArena Korean | — | 1384 |
| LMArena Spanish | — | 1436 |
Instruction Following Too close to call
Amazon Nova Experimental Chat 26 02 10: 75.2 (#69), DeepSeek V4 Flash: 74.9 (#81)
| Benchmark | Amazon Nova Experimental Chat 26 02 10 | DeepSeek V4 Flash |
|---|---|---|
| LMArena Instruction Following | 1427 | 1421 |
Long Context Too close to call
Amazon Nova Experimental Chat 26 02 10: 44.0 (#77), DeepSeek V4 Flash: 43.8 (#85)
| Benchmark | Amazon Nova Experimental Chat 26 02 10 | DeepSeek V4 Flash |
|---|---|---|
| LMArena Longer Query | 1441 | 1434 |
Writing & Preference DeepSeek V4 Flash leads
Amazon Nova Experimental Chat 26 02 10: 61.8 (#84), DeepSeek V4 Flash: 63.8 (#61)
| Benchmark | Amazon Nova Experimental Chat 26 02 10 | DeepSeek V4 Flash |
|---|---|---|
| LMArena Text | 1448 | 1432 |
| LMArena Creative Writing | 1368 | 1403 |
| LMArena Multi-Turn | 1442 | 1449 |
| EQ-Bench Creative Writing | — | 1559 |
Frequently asked questions
Is Amazon Nova Experimental Chat 26 02 10 better than DeepSeek V4 Flash?
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 44.5 on the Noometry Index.
Is Amazon Nova Experimental Chat 26 02 10 or DeepSeek V4 Flash better for coding?
DeepSeek V4 Flash scores higher on coding benchmarks: 47.9 versus 43.9 in the Noometry coding category.
How many benchmarks do Amazon Nova Experimental Chat 26 02 10 and DeepSeek V4 Flash share?
12 benchmarks have published results for both models. Amazon Nova Experimental Chat 26 02 10 has 12 scored results on Noometry and DeepSeek V4 Flash has 41.