# Amazon Nova Experimental Chat 12 10 vs DeepSeek-V3.1

> Amazon Nova Experimental Chat 12 10 and DeepSeek-V3.1 score almost the same on the Noometry Index (42.9 vs 42.8), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/amazon-nova-experimental-chat-12-10-vs-deepseek-v3-1
- Last updated: 2026-10-12
- Shared benchmarks: 12

## Summary

- They share 12 benchmarks with published results for both. Amazon Nova Experimental Chat 12 10 scores higher in 3 categories and DeepSeek-V3.1 in 5 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in long context, where Amazon Nova Experimental Chat 12 10 leads 42.4 to 36.3.
- DeepSeek-V3.1 has downloadable open weights; the other is API-only.

## Snapshot

| | Amazon Nova Experimental Chat 12 10 | DeepSeek-V3.1 |
|---|---|---|
| Provider | Amazon | DeepSeek |
| Noometry Index | 42.9 | 42.8 |
| Rank | 104 | 108 |
| Context | — | 164K |
| Input $/M | — | $0.25 |
| Output $/M | — | $0.95 |
| Weights | Proprietary | Open |

## Coding

- Amazon Nova Experimental Chat 12 10: 42.2 (#110)
- DeepSeek-V3.1: 40.3 (#144)

| Benchmark | Amazon Nova Experimental Chat 12 10 | DeepSeek-V3.1 |
|---|---|---|
| LMArena Coding | 1430 | 1417 |
| WeirdML | — | 38.4% |

## Reasoning

- Amazon Nova Experimental Chat 12 10: 29.3 (#94)
- DeepSeek-V3.1: 27.9 (#110)

| Benchmark | Amazon Nova Experimental Chat 12 10 | DeepSeek-V3.1 |
|---|---|---|
| LMArena Hard Prompts | 1427 | 1417 |
| SimpleBench | — | 40% |
| Kagi LLM Benchmark | — | 53.2% |
| DTBench | — | 82.7% |
| LMCA | — | 24.3% |
| Epoch Capabilities Index | — | 139.92 |
| ForecastBench | — | 58 |

## Math

- Amazon Nova Experimental Chat 12 10: 38.9 (#124)
- DeepSeek-V3.1: 38.9 (#122)

| Benchmark | Amazon Nova Experimental Chat 12 10 | DeepSeek-V3.1 |
|---|---|---|
| LMArena Math | 1419 | 1420 |

## Knowledge

- Amazon Nova Experimental Chat 12 10: 39.2 (#136)
- DeepSeek-V3.1: 43.7 (#90)

| Benchmark | Amazon Nova Experimental Chat 12 10 | DeepSeek-V3.1 |
|---|---|---|
| LMArena Expert | 1408 | 1405 |
| Vectara Hallucination Rate | — | 5.5% |

## Multilingual

- Amazon Nova Experimental Chat 12 10: 51.4 (#108)
- DeepSeek-V3.1: 51.6 (#106)

| Benchmark | Amazon Nova Experimental Chat 12 10 | DeepSeek-V3.1 |
|---|---|---|
| LMArena Non-English | 1398 | 1400 |
| LMArena Chinese | 1440 | 1469 |
| LMArena Russian | 1395 | 1405 |
| LMArena French | — | 1447 |
| LMArena German | — | 1411 |
| LMArena Japanese | — | 1378 |
| LMArena Korean | — | 1337 |
| LMArena Spanish | — | 1431 |

## Instruction Following

- Amazon Nova Experimental Chat 12 10: 73.2 (#123)
- DeepSeek-V3.1: 73.9 (#110)

| Benchmark | Amazon Nova Experimental Chat 12 10 | DeepSeek-V3.1 |
|---|---|---|
| LMArena Instruction Following | 1387 | 1400 |

## Long Context

- Amazon Nova Experimental Chat 12 10: 42.4 (#125)
- DeepSeek-V3.1: 36.3 (#232)

| Benchmark | Amazon Nova Experimental Chat 12 10 | DeepSeek-V3.1 |
|---|---|---|
| LMArena Longer Query | 1391 | 1422 |
| Fiction.LiveBench | — | 52.8% |

## Writing & Preference

- Amazon Nova Experimental Chat 12 10: 59.5 (#110)
- DeepSeek-V3.1: 60.3 (#98)

| Benchmark | Amazon Nova Experimental Chat 12 10 | DeepSeek-V3.1 |
|---|---|---|
| LMArena Text | 1420 | 1420 |
| LMArena Creative Writing | 1350 | 1401 |
| LMArena Multi-Turn | 1409 | 1408 |
| EQ-Bench Creative Writing | — | 1436 |

## FAQ

### Is Amazon Nova Experimental Chat 12 10 better than DeepSeek-V3.1?

Amazon Nova Experimental Chat 12 10 and DeepSeek-V3.1 score almost the same on the Noometry Index (42.9 vs 42.8), so choose on price, context window or the category you care about most.

### Is Amazon Nova Experimental Chat 12 10 or DeepSeek-V3.1 better for coding?

Amazon Nova Experimental Chat 12 10 scores higher on coding benchmarks: 42.2 versus 40.3 in the Noometry coding category.

### How many benchmarks do Amazon Nova Experimental Chat 12 10 and DeepSeek-V3.1 share?

12 benchmarks have published results for both models. Amazon Nova Experimental Chat 12 10 has 12 scored results on Noometry and DeepSeek-V3.1 has 27.