# Amazon Nova Experimental Chat 26 01 10 vs DeepSeek V4 Flash

> DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 42.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/amazon-nova-experimental-chat-26-01-10-vs-deepseek-v4-flash
- Last updated: 2026-10-12
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. Amazon Nova Experimental Chat 26 01 10 scores higher in 0 categories and DeepSeek V4 Flash in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4 Flash leads 53.7 to 28.9.
- DeepSeek V4 Flash has downloadable open weights; the other is API-only.

## Snapshot

| | Amazon Nova Experimental Chat 26 01 10 | DeepSeek V4 Flash |
|---|---|---|
| Provider | Amazon | DeepSeek |
| Noometry Index | 42.8 | 53.6 |
| Rank | 107 | 35 |
| Context | — | 1M |
| Input $/M | — | $0.15 |
| Output $/M | — | $0.60 |
| Weights | Proprietary | Open |

## Coding

- Amazon Nova Experimental Chat 26 01 10: 42.7 (#96)
- DeepSeek V4 Flash: 47.9 (#59)

| Benchmark | Amazon Nova Experimental Chat 26 01 10 | DeepSeek V4 Flash |
|---|---|---|
| LMArena Coding | 1447 | 1457 |
| FrontierCode | — | 18.8% |
| LMArena WebDev | — | 1582 |
| SciCode | — | 49.9% |
| WeirdML | — | 63% |
| ALE-Bench | — | 1,306 |

## Reasoning

- Amazon Nova Experimental Chat 26 01 10: 28.9 (#98)
- DeepSeek V4 Flash: 53.7 (#30)

| Benchmark | Amazon Nova Experimental Chat 26 01 10 | DeepSeek V4 Flash |
|---|---|---|
| LMArena Hard Prompts | 1415 | 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

- Amazon Nova Experimental Chat 26 01 10: 38.5 (#136)
- DeepSeek V4 Flash: 60.3 (#37)

| Benchmark | Amazon Nova Experimental Chat 26 01 10 | DeepSeek V4 Flash |
|---|---|---|
| LMArena Math | 1404 | 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

- Amazon Nova Experimental Chat 26 01 10: 40.3 (#120)
- DeepSeek V4 Flash: 55.4 (#48)

| Benchmark | Amazon Nova Experimental Chat 26 01 10 | DeepSeek V4 Flash |
|---|---|---|
| LMArena Expert | 1444 | 1441 |
| GPQA Diamond | — | 91% |
| SimpleQA Verified | — | 33.6% |

## Multilingual

- Amazon Nova Experimental Chat 26 01 10: 50.2 (#126)
- DeepSeek V4 Flash: 53.0 (#72)

| Benchmark | Amazon Nova Experimental Chat 26 01 10 | DeepSeek V4 Flash |
|---|---|---|
| LMArena Non-English | 1381 | 1420 |
| LMArena Chinese | 1372 | 1468 |
| LMArena Russian | 1391 | 1428 |
| LMArena Spanish | 1390 | 1436 |
| LMArena French | — | 1439 |
| LMArena German | — | 1418 |
| LMArena Japanese | — | 1406 |
| LMArena Korean | — | 1384 |

## Instruction Following

- Amazon Nova Experimental Chat 26 01 10: 72.9 (#126)
- DeepSeek V4 Flash: 74.9 (#81)

| Benchmark | Amazon Nova Experimental Chat 26 01 10 | DeepSeek V4 Flash |
|---|---|---|
| LMArena Instruction Following | 1381 | 1421 |

## Long Context

- Amazon Nova Experimental Chat 26 01 10: 42.7 (#119)
- DeepSeek V4 Flash: 43.8 (#85)

| Benchmark | Amazon Nova Experimental Chat 26 01 10 | DeepSeek V4 Flash |
|---|---|---|
| LMArena Longer Query | 1400 | 1434 |

## Writing & Preference

- Amazon Nova Experimental Chat 26 01 10: 57.4 (#129)
- DeepSeek V4 Flash: 63.8 (#61)

| Benchmark | Amazon Nova Experimental Chat 26 01 10 | DeepSeek V4 Flash |
|---|---|---|
| LMArena Text | 1396 | 1432 |
| LMArena Creative Writing | 1331 | 1403 |
| LMArena Multi-Turn | 1380 | 1449 |
| EQ-Bench Creative Writing | — | 1559 |

## FAQ

### Is Amazon Nova Experimental Chat 26 01 10 better than DeepSeek V4 Flash?

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 42.8 on the Noometry Index.

### Is Amazon Nova Experimental Chat 26 01 10 or DeepSeek V4 Flash better for coding?

DeepSeek V4 Flash scores higher on coding benchmarks: 47.9 versus 42.7 in the Noometry coding category.

### How many benchmarks do Amazon Nova Experimental Chat 26 01 10 and DeepSeek V4 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 Flash has 41.