# Amazon Nova Experimental Chat 10 09 vs DeepSeek V4 Pro

> DeepSeek V4 Pro is the stronger model overall, scoring 54.2 to 41.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/amazon-nova-experimental-chat-10-09-vs-deepseek-v4-pro
- Last updated: 2026-10-10
- Shared benchmarks: 9

## Summary

- They share 9 benchmarks with published results for both. Amazon Nova Experimental Chat 10 09 scores higher in 0 categories and DeepSeek V4 Pro in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4 Pro leads 56.4 to 26.2.
- DeepSeek V4 Pro has downloadable open weights; the other is API-only.

## Snapshot

| | Amazon Nova Experimental Chat 10 09 | DeepSeek V4 Pro |
|---|---|---|
| Provider | Amazon | DeepSeek |
| Noometry Index | 41.4 | 54.2 |
| Rank | 124 | 28 |
| Context | — | 1M |
| Input $/M | — | $0.43 |
| Output $/M | — | $0.87 |
| Weights | Proprietary | Open |

## Coding

- Amazon Nova Experimental Chat 10 09: 39.6 (#142)
- DeepSeek V4 Pro: 52.2 (#31)

| Benchmark | Amazon Nova Experimental Chat 10 09 | DeepSeek V4 Pro |
|---|---|---|
| LMArena Coding | 1371 | 1470 |
| SWE-bench Verified | — | 77.6% |
| FrontierCode | — | 28.6% |
| LMArena WebDev | — | 1582 |
| SciCode | — | 51% |
| WeirdML | — | 66.2% |
| ALE-Bench | — | 1,403 |

## Agentic & Tool Use

- Amazon Nova Experimental Chat 10 09: —
- DeepSeek V4 Pro: 32.7 (#54)

| Benchmark | Amazon Nova Experimental Chat 10 09 | DeepSeek V4 Pro |
|---|---|---|
| APEX-Agents | — | 47.3% |
| Vending-Bench 2 | — | 3,285 |

## Reasoning

- Amazon Nova Experimental Chat 10 09: 26.2 (#122)
- DeepSeek V4 Pro: 56.4 (#22)

| Benchmark | Amazon Nova Experimental Chat 10 09 | DeepSeek V4 Pro |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1461 |
| ARC-AGI-2 | — | 61.3% |
| Kagi LLM Benchmark | — | 53.5% |
| NYT Connections (extended) | — | 91.3% |
| ARC-AGI-1 | — | 90.5% |
| CritPt | — | 18% |
| Chess Puzzles | — | 47% |
| Mystery Game Puzzles | — | 43% |
| DTBench | — | 93.9% |
| LMCA | — | 45.5% |
| Surface Evolver Bench | — | 40% |
| Epoch Capabilities Index | — | 155.39 |
| ForecastBench | — | 56.1 |

## Math

- Amazon Nova Experimental Chat 10 09: —
- DeepSeek V4 Pro: 64.6 (#24)

| Benchmark | Amazon Nova Experimental Chat 10 09 | DeepSeek V4 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 64.6% |
| FrontierMath Tier 4 | — | 26.8% |
| MathArena Final-Answer Competitions | — | 76.6% |
| OTIS Mock AIME 2024-2025 | — | 98.6% |
| ProofBench | — | 50% |
| LMArena Math | — | 1455 |

## Knowledge

- Amazon Nova Experimental Chat 10 09: —
- DeepSeek V4 Pro: 59.5 (#28)

| Benchmark | Amazon Nova Experimental Chat 10 09 | DeepSeek V4 Pro |
|---|---|---|
| GPQA Diamond | — | 91.7% |
| SimpleQA Verified | — | 52.9% |
| Vectara Hallucination Rate | — | 8.6% |
| LMArena Expert | — | 1463 |

## Multilingual

- Amazon Nova Experimental Chat 10 09: 47.5 (#145)
- DeepSeek V4 Pro: 54.5 (#44)

| Benchmark | Amazon Nova Experimental Chat 10 09 | DeepSeek V4 Pro |
|---|---|---|
| LMArena Non-English | 1341 | 1438 |
| LMArena Chinese | 1345 | 1486 |
| LMArena French | — | 1473 |
| LMArena German | — | 1458 |
| LMArena Japanese | — | 1448 |
| LMArena Korean | — | 1452 |
| LMArena Russian | — | 1452 |
| LMArena Spanish | — | 1457 |

## Instruction Following

- Amazon Nova Experimental Chat 10 09: 69.7 (#167)
- DeepSeek V4 Pro: 76.3 (#44)

| Benchmark | Amazon Nova Experimental Chat 10 09 | DeepSeek V4 Pro |
|---|---|---|
| LMArena Instruction Following | 1316 | 1448 |

## Long Context

- Amazon Nova Experimental Chat 10 09: 40.6 (#146)
- DeepSeek V4 Pro: 45.0 (#49)

| Benchmark | Amazon Nova Experimental Chat 10 09 | DeepSeek V4 Pro |
|---|---|---|
| LMArena Longer Query | 1334 | 1459 |
| CL-bench Life | — | 13.5% |

## Writing & Preference

- Amazon Nova Experimental Chat 10 09: 55.0 (#144)
- DeepSeek V4 Pro: 65.6 (#45)

| Benchmark | Amazon Nova Experimental Chat 10 09 | DeepSeek V4 Pro |
|---|---|---|
| LMArena Text | 1365 | 1451 |
| LMArena Creative Writing | 1307 | 1446 |
| LMArena Multi-Turn | 1354 | 1467 |
| EQ-Bench Creative Writing | — | 1553 |
| EQ-Bench 4 | — | 1166 |

## FAQ

### Is Amazon Nova Experimental Chat 10 09 better than DeepSeek V4 Pro?

DeepSeek V4 Pro is the stronger model overall, scoring 54.2 to 41.4 on the Noometry Index.

### Is Amazon Nova Experimental Chat 10 09 or DeepSeek V4 Pro better for coding?

DeepSeek V4 Pro scores higher on coding benchmarks: 52.2 versus 39.6 in the Noometry coding category.

### How many benchmarks do Amazon Nova Experimental Chat 10 09 and DeepSeek V4 Pro share?

9 benchmarks have published results for both models. Amazon Nova Experimental Chat 10 09 has 9 scored results on Noometry and DeepSeek V4 Pro has 48.