# Amazon Nova Experimental Chat 10 09 vs DeepSeek-V3

> Amazon Nova Experimental Chat 10 09 is the stronger model overall, scoring 41.4 to 39.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/amazon-nova-experimental-chat-10-09-vs-deepseek-v3
- 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 2 categories and DeepSeek-V3 in 4 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in long context, where Amazon Nova Experimental Chat 10 09 leads 40.6 to 34.0.
- DeepSeek-V3 has downloadable open weights; the other is API-only.

## Snapshot

| | Amazon Nova Experimental Chat 10 09 | DeepSeek-V3 |
|---|---|---|
| Provider | Amazon | DeepSeek |
| Noometry Index | 41.4 | 39.2 |
| Rank | 124 | 157 |
| Context | — | 164K |
| Input $/M | — | $0.24 |
| Output $/M | — | $0.90 |
| Weights | Proprietary | Open |

## Coding

- Amazon Nova Experimental Chat 10 09: 39.6 (#142)
- DeepSeek-V3: 41.9 (#99)

| Benchmark | Amazon Nova Experimental Chat 10 09 | DeepSeek-V3 |
|---|---|---|
| LMArena Coding | 1371 | 1368 |
| Aider Polyglot | — | 55.1% |
| SciCode | — | 35.8% |
| WeirdML | — | 36.1% |
| BigCodeBench Instruct | — | 50% |
| LiveBench Coding | — | 70.9% |
| BigCodeBench Complete | — | 62.2% |
| HumanEval+ | — | 86.6% |
| MBPP+ | — | 73% |

## Agentic & Tool Use

- Amazon Nova Experimental Chat 10 09: —
- DeepSeek-V3: —

| Benchmark | Amazon Nova Experimental Chat 10 09 | DeepSeek-V3 |
|---|---|---|
| METR Time Horizons | — | 49.6% |

## Reasoning

- Amazon Nova Experimental Chat 10 09: 26.2 (#122)
- DeepSeek-V3: 20.0 (#226)

| Benchmark | Amazon Nova Experimental Chat 10 09 | DeepSeek-V3 |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1365 |
| SimpleBench | — | 27.2% |
| Kagi LLM Benchmark | — | 52.3% |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 65.8% |
| DTBench | — | 64.8% |
| LiveBench Data Analysis | — | 60.9% |
| LMCA | — | 15.5% |
| BIG-Bench Hard | — | 87.5% |
| Epoch Capabilities Index | — | 135.95 |
| ForecastBench | — | 59.1 |
| HellaSwag | — | 88.9% |
| LiveBench | — | 66.9% |
| PIQA | — | 84.7% |
| WinoGrande | — | 85.2% |

## Math

- Amazon Nova Experimental Chat 10 09: —
- DeepSeek-V3: 30.4 (#208)

| Benchmark | Amazon Nova Experimental Chat 10 09 | DeepSeek-V3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 37.8% |
| Omni-MATH | — | 40.3% |
| LiveBench Math | — | 73.5% |
| LMArena Math | — | 1373 |
| MATH Level 5 | — | 75.5% |
| FrontierMath (Feb 2025 set) | — | 1.7% |

## Knowledge

- Amazon Nova Experimental Chat 10 09: —
- DeepSeek-V3: 37.5 (#147)

| Benchmark | Amazon Nova Experimental Chat 10 09 | DeepSeek-V3 |
|---|---|---|
| GPQA Diamond | — | 67.6% |
| MMLU-Pro | — | 72.3% |
| Confabulations | — | 26.1% |
| Vectara Hallucination Rate | — | 6.1% |
| GPQA (HELM) | — | 53.8% |
| LMArena Expert | — | 1352 |
| ARC (AI2) Challenge | — | 95.3% |
| MMLU | — | 87.2% |
| TriviaQA | — | 82.9% |

## Multilingual

- Amazon Nova Experimental Chat 10 09: 47.5 (#145)
- DeepSeek-V3: 48.8 (#138)

| Benchmark | Amazon Nova Experimental Chat 10 09 | DeepSeek-V3 |
|---|---|---|
| LMArena Non-English | 1341 | 1358 |
| LMArena Chinese | 1345 | 1390 |
| LMArena French | — | 1386 |
| LMArena German | — | 1374 |
| LMArena Japanese | — | 1333 |
| LMArena Korean | — | 1321 |
| LMArena Russian | — | 1372 |
| LMArena Spanish | — | 1358 |

## Instruction Following

- Amazon Nova Experimental Chat 10 09: 69.7 (#167)
- DeepSeek-V3: 73.0 (#125)

| Benchmark | Amazon Nova Experimental Chat 10 09 | DeepSeek-V3 |
|---|---|---|
| LMArena Instruction Following | 1316 | 1345 |
| LiveBench Instruction Following | — | 81.5% |
| IFEval | — | 83.2% |

## Long Context

- Amazon Nova Experimental Chat 10 09: 40.6 (#146)
- DeepSeek-V3: 34.0 (#248)

| Benchmark | Amazon Nova Experimental Chat 10 09 | DeepSeek-V3 |
|---|---|---|
| LMArena Longer Query | 1334 | 1353 |
| Fiction.LiveBench | — | 50% |

## Writing & Preference

- Amazon Nova Experimental Chat 10 09: 55.0 (#144)
- DeepSeek-V3: 57.6 (#124)

| Benchmark | Amazon Nova Experimental Chat 10 09 | DeepSeek-V3 |
|---|---|---|
| LMArena Text | 1365 | 1375 |
| LMArena Creative Writing | 1307 | 1364 |
| LMArena Multi-Turn | 1354 | 1389 |
| Short-Story Creative Writing | — | 77% |
| EQ-Bench Creative Writing | — | 1472 |
| WildBench | — | 83% |
| LiveBench Language | — | 49.1% |

## FAQ

### Is Amazon Nova Experimental Chat 10 09 better than DeepSeek-V3?

Amazon Nova Experimental Chat 10 09 is the stronger model overall, scoring 41.4 to 39.2 on the Noometry Index.

### Is Amazon Nova Experimental Chat 10 09 or DeepSeek-V3 better for coding?

DeepSeek-V3 scores higher on coding benchmarks: 41.9 versus 39.6 in the Noometry coding category.

### How many benchmarks do Amazon Nova Experimental Chat 10 09 and DeepSeek-V3 share?

9 benchmarks have published results for both models. Amazon Nova Experimental Chat 10 09 has 9 scored results on Noometry and DeepSeek-V3 has 60.