# Amazon Nova Lite vs DeepSeek-V3

> DeepSeek-V3 is the stronger model overall, scoring 39.5 to 31.9 on the Noometry Index. Amazon Nova Lite costs 3.9× less per token, which makes it the better buy when DeepSeek-V3's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/amazon-nova-lite-vs-deepseek-v3
- Last updated: 2026-10-11
- Shared benchmarks: 31

## Summary

- They share 31 benchmarks with published results for both. Amazon Nova Lite scores higher in 1 category and DeepSeek-V3 in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek-V3 leads 57.4 to 42.1.
- The biggest single-benchmark swing is LiveBench Coding: 27.5% for Amazon Nova Lite and 70.9% for DeepSeek-V3.
- Amazon Nova Lite is cheaper at $0.06 / $0.24 per million input/output tokens, against $0.24 / $0.90 for DeepSeek-V3.
- Amazon Nova Lite accepts more context: 300K tokens versus 164K.
- DeepSeek-V3 has downloadable open weights; the other is API-only.

## Snapshot

| | Amazon Nova Lite | DeepSeek-V3 |
|---|---|---|
| Provider | Amazon | DeepSeek |
| Noometry Index | 31.9 | 39.5 |
| Rank | 265 | 166 |
| Context | 300K | 164K |
| Input $/M | $0.06 | $0.24 |
| Output $/M | $0.24 | $0.90 |
| Weights | Proprietary | Open |

## Coding

- Amazon Nova Lite: 32.5 (#270)
- DeepSeek-V3: 42.3 (#106)

| Benchmark | Amazon Nova Lite | DeepSeek-V3 |
|---|---|---|
| LiveBench Coding | 27.5% | 70.9% |
| LMArena Coding | 1239 | 1368 |
| Aider Polyglot | — | 55.1% |
| SciCode | — | 35.8% |
| WeirdML | — | 36.1% |
| BigCodeBench Instruct | — | 50% |
| BigCodeBench Complete | — | 62.2% |
| ALE-Bench | 236.25 | — |
| HumanEval+ | — | 86.6% |
| MBPP+ | — | 73% |

## Agentic & Tool Use

- Amazon Nova Lite: —
- DeepSeek-V3: —

| Benchmark | Amazon Nova Lite | DeepSeek-V3 |
|---|---|---|
| METR Time Horizons | — | 49.6% |

## Reasoning

- Amazon Nova Lite: 19.3 (#260)
- DeepSeek-V3: 20.5 (#236)

| Benchmark | Amazon Nova Lite | DeepSeek-V3 |
|---|---|---|
| LiveBench Reasoning | 36.7% | 65.8% |
| LMArena Hard Prompts | 1220 | 1365 |
| LiveBench Data Analysis | 37.2% | 60.9% |
| LiveBench | 36.4% | 66.9% |
| SimpleBench | — | 27.2% |
| Kagi LLM Benchmark | — | 52.3% |
| CritPt | — | 0% |
| DTBench | — | 64.8% |
| LMCA | — | 15.5% |
| BIG-Bench Hard | — | 87.5% |
| Epoch Capabilities Index | — | 135.94 |
| ForecastBench | — | 59.1 |
| HellaSwag | — | 88.9% |
| PIQA | — | 84.7% |
| WinoGrande | — | 85.2% |

## Math

- Amazon Nova Lite: 27.8 (#247)
- DeepSeek-V3: 32.1 (#219)

| Benchmark | Amazon Nova Lite | DeepSeek-V3 |
|---|---|---|
| Omni-MATH | 23.3% | 40.3% |
| LiveBench Math | 36.7% | 73.5% |
| LMArena Math | 1227 | 1373 |
| OTIS Mock AIME 2024-2025 | — | 37.8% |
| MATH Level 5 | — | 75.5% |
| FrontierMath (Feb 2025 set) | — | 1.7% |

## Knowledge

- Amazon Nova Lite: 26.3 (#259)
- DeepSeek-V3: 37.5 (#155)

| Benchmark | Amazon Nova Lite | DeepSeek-V3 |
|---|---|---|
| MMLU-Pro | 60% | 72.3% |
| Vectara Hallucination Rate | 6.1% | 6.1% |
| GPQA (HELM) | 39.7% | 53.8% |
| LMArena Expert | 1201 | 1351 |
| MMLU | 77% | 87.2% |
| GPQA Diamond | — | 67.6% |
| Humanity's Last Exam | 3.6% | — |
| Confabulations | — | 26.1% |
| ARC (AI2) Challenge | — | 95.3% |
| TriviaQA | — | 82.9% |

## Multimodal

- Amazon Nova Lite: 25.5 (#123)
- DeepSeek-V3: —

| Benchmark | Amazon Nova Lite | DeepSeek-V3 |
|---|---|---|
| LMArena Vision | 990 | — |

## Multilingual

- Amazon Nova Lite: 38.0 (#232)
- DeepSeek-V3: 48.5 (#143)

| Benchmark | Amazon Nova Lite | DeepSeek-V3 |
|---|---|---|
| LMArena Non-English | 1208 | 1358 |
| LMArena Chinese | 1225 | 1391 |
| LMArena French | 1237 | 1385 |
| LMArena German | 1229 | 1374 |
| LMArena Japanese | 1153 | 1333 |
| LMArena Korean | 1153 | 1319 |
| LMArena Russian | 1216 | 1373 |
| LMArena Spanish | 1226 | 1358 |

## Instruction Following

- Amazon Nova Lite: 59.3 (#255)
- DeepSeek-V3: 72.8 (#130)

| Benchmark | Amazon Nova Lite | DeepSeek-V3 |
|---|---|---|
| LiveBench Instruction Following | 54.1% | 81.5% |
| IFEval | 77.6% | 83.2% |
| LMArena Instruction Following | 1205 | 1345 |

## Long Context

- Amazon Nova Lite: 37.4 (#217)
- DeepSeek-V3: 34.0 (#253)

| Benchmark | Amazon Nova Lite | DeepSeek-V3 |
|---|---|---|
| LMArena Longer Query | 1234 | 1352 |
| Fiction.LiveBench | — | 50% |

## Writing & Preference

- Amazon Nova Lite: 42.1 (#237)
- DeepSeek-V3: 57.4 (#130)

| Benchmark | Amazon Nova Lite | DeepSeek-V3 |
|---|---|---|
| LMArena Text | 1229 | 1375 |
| LMArena Creative Writing | 1197 | 1364 |
| WildBench | 75% | 83% |
| LMArena Multi-Turn | 1199 | 1389 |
| LiveBench Language | 25.9% | 49.1% |
| Short-Story Creative Writing | — | 77% |
| EQ-Bench Creative Writing | — | 1472 |

## FAQ

### Is Amazon Nova Lite better than DeepSeek-V3?

DeepSeek-V3 is the stronger model overall, scoring 39.5 to 31.9 on the Noometry Index. Amazon Nova Lite costs 3.9× less per token, which makes it the better buy when DeepSeek-V3's lead doesn't matter for your workload.

### Which is cheaper, Amazon Nova Lite or DeepSeek-V3?

Amazon Nova Lite is cheaper. It lists at $0.06 per million input tokens and $0.24 per million output tokens; DeepSeek-V3 lists at $0.24 and $0.90.

### Is Amazon Nova Lite or DeepSeek-V3 better for coding?

DeepSeek-V3 scores higher on coding benchmarks: 42.3 versus 32.5 in the Noometry coding category.

### Which has the bigger context window?

Amazon Nova Lite does, with 300K tokens against 164K.

### How many benchmarks do Amazon Nova Lite and DeepSeek-V3 share?

31 benchmarks have published results for both models. Amazon Nova Lite has 34 scored results on Noometry and DeepSeek-V3 has 60.