# Amazon Nova Experimental Chat 10 20 vs DeepSeek-R1

> Amazon Nova Experimental Chat 10 20 and DeepSeek-R1 score almost the same on the Noometry Index (42.1 vs 42.3), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/amazon-nova-experimental-chat-10-20-vs-deepseek-r1
- Last updated: 2026-10-12
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Amazon Nova Experimental Chat 10 20 scores higher in 2 categories and DeepSeek-R1 in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Amazon Nova Experimental Chat 10 20 leads 28.4 to 18.6.

## Snapshot

| | Amazon Nova Experimental Chat 10 20 | DeepSeek-R1 |
|---|---|---|
| Provider | Amazon | DeepSeek |
| Noometry Index | 42.1 | 42.3 |
| Rank | 118 | 115 |
| Context | — | 164K |
| Input $/M | — | $0.50 |
| Output $/M | — | $2.15 |
| Weights | Proprietary | Proprietary |

## Coding

- Amazon Nova Experimental Chat 10 20: 41.6 (#123)
- DeepSeek-R1: 46.3 (#68)

| Benchmark | Amazon Nova Experimental Chat 10 20 | DeepSeek-R1 |
|---|---|---|
| LMArena Coding | 1412 | 1427 |
| Aider Polyglot | — | 71.4% |
| SciCode | — | 35.7% |
| WeirdML | — | 41.6% |
| LiveBench Coding | — | 66.7% |
| ALE-Bench | — | 804.12 |
| AlgoTune | — | 1.7 |

## Agentic & Tool Use

- Amazon Nova Experimental Chat 10 20: —
- DeepSeek-R1: 30.7 (#75)

| Benchmark | Amazon Nova Experimental Chat 10 20 | DeepSeek-R1 |
|---|---|---|
| DeepResearch Bench | — | 35.1% |
| BALROG | — | 34.9% |
| METR Time Horizons | — | 53.8% |

## Reasoning

- Amazon Nova Experimental Chat 10 20: 28.4 (#106)
- DeepSeek-R1: 18.6 (#278)

| Benchmark | Amazon Nova Experimental Chat 10 20 | DeepSeek-R1 |
|---|---|---|
| LMArena Hard Prompts | 1396 | 1416 |
| ARC-AGI-2 | — | 1.3% |
| SimpleBench | — | 40.8% |
| Kagi LLM Benchmark | — | 69.4% |
| ARC-AGI-1 | — | 21.2% |
| CritPt | — | 1.1% |
| LiveBench Reasoning | — | 83.2% |
| LiveBench Data Analysis | — | 69.8% |
| Epoch Capabilities Index | — | 141.29 |
| ForecastBench | — | 60 |
| LiveBench | — | 71.6% |

## Math

- Amazon Nova Experimental Chat 10 20: 39.0 (#119)
- DeepSeek-R1: 43.8 (#79)

| Benchmark | Amazon Nova Experimental Chat 10 20 | DeepSeek-R1 |
|---|---|---|
| LMArena Math | 1425 | 1400 |
| OTIS Mock AIME 2024-2025 | — | 66.4% |
| Omni-MATH | — | 42.4% |
| LiveBench Math | — | 80.7% |
| MATH Level 5 | — | 96.6% |

## Knowledge

- Amazon Nova Experimental Chat 10 20: 38.5 (#144)
- DeepSeek-R1: 44.5 (#87)

| Benchmark | Amazon Nova Experimental Chat 10 20 | DeepSeek-R1 |
|---|---|---|
| LMArena Expert | 1386 | 1394 |
| GPQA Diamond | — | 76.3% |
| MMLU-Pro | — | 79.3% |
| Confabulations | — | 12.7% |
| Vectara Hallucination Rate | — | 11.3% |
| GPQA (HELM) | — | 66.6% |

## Multilingual

- Amazon Nova Experimental Chat 10 20: 49.5 (#131)
- DeepSeek-R1: 52.4 (#85)

| Benchmark | Amazon Nova Experimental Chat 10 20 | DeepSeek-R1 |
|---|---|---|
| LMArena Non-English | 1372 | 1412 |
| LMArena Chinese | 1404 | 1442 |
| LMArena French | 1425 | 1417 |
| LMArena German | 1391 | 1404 |
| LMArena Japanese | 1360 | 1391 |
| LMArena Korean | 1324 | 1360 |
| LMArena Russian | 1371 | 1423 |
| LMArena Spanish | 1382 | 1411 |

## Instruction Following

- Amazon Nova Experimental Chat 10 20: 72.1 (#141)
- DeepSeek-R1: 72.0 (#143)

| Benchmark | Amazon Nova Experimental Chat 10 20 | DeepSeek-R1 |
|---|---|---|
| LMArena Instruction Following | 1365 | 1382 |
| LiveBench Instruction Following | — | 80.5% |
| IFEval | — | 78.4% |

## Long Context

- Amazon Nova Experimental Chat 10 20: 41.7 (#133)
- DeepSeek-R1: 45.4 (#36)

| Benchmark | Amazon Nova Experimental Chat 10 20 | DeepSeek-R1 |
|---|---|---|
| LMArena Longer Query | 1370 | 1391 |
| Fiction.LiveBench | — | 75% |

## Writing & Preference

- Amazon Nova Experimental Chat 10 20: 56.6 (#136)
- DeepSeek-R1: 61.4 (#88)

| Benchmark | Amazon Nova Experimental Chat 10 20 | DeepSeek-R1 |
|---|---|---|
| LMArena Text | 1394 | 1428 |
| LMArena Creative Writing | 1318 | 1405 |
| LMArena Multi-Turn | 1364 | 1405 |
| Short-Story Creative Writing | — | 83% |
| EQ-Bench Creative Writing | — | 1500 |
| WildBench | — | 82.8% |
| LiveBench Language | — | 48.5% |

## FAQ

### Is Amazon Nova Experimental Chat 10 20 better than DeepSeek-R1?

Amazon Nova Experimental Chat 10 20 and DeepSeek-R1 score almost the same on the Noometry Index (42.1 vs 42.3), so choose on price, context window or the category you care about most.

### Is Amazon Nova Experimental Chat 10 20 or DeepSeek-R1 better for coding?

DeepSeek-R1 scores higher on coding benchmarks: 46.3 versus 41.6 in the Noometry coding category.

### How many benchmarks do Amazon Nova Experimental Chat 10 20 and DeepSeek-R1 share?

17 benchmarks have published results for both models. Amazon Nova Experimental Chat 10 20 has 17 scored results on Noometry and DeepSeek-R1 has 52.