# Amazon Nova Lite vs Deepseek Coder v2

> Deepseek Coder v2 is the stronger model overall, scoring 35.3 to 31.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/amazon-nova-lite-vs-deepseek-coder-v2
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Amazon Nova Lite scores higher in 3 categories and Deepseek Coder v2 in 5 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Deepseek Coder v2 leads 32.3 to 25.8.
- Deepseek Coder v2 has downloadable open weights; the other is API-only.

## Snapshot

| | Amazon Nova Lite | Deepseek Coder v2 |
|---|---|---|
| Provider | Amazon | DeepSeek |
| Noometry Index | 31.4 | 35.3 |
| Rank | 262 | 217 |
| Context | 300K | — |
| Input $/M | $0.06 | — |
| Output $/M | $0.24 | — |
| Weights | Proprietary | Open |

## Coding

- Amazon Nova Lite: 32.0 (#266)
- Deepseek Coder v2: 37.5 (#178)

| Benchmark | Amazon Nova Lite | Deepseek Coder v2 |
|---|---|---|
| LMArena Coding | 1239 | 1251 |
| BigCodeBench Instruct | — | 48.2% |
| LiveBench Coding | 27.5% | — |
| BigCodeBench Complete | — | 59.7% |
| ALE-Bench | 236.25 | — |
| HumanEval+ | — | 82.3% |
| MBPP+ | — | 75.1% |

## Reasoning

- Amazon Nova Lite: 18.5 (#257)
- Deepseek Coder v2: 22.6 (#175)

| Benchmark | Amazon Nova Lite | Deepseek Coder v2 |
|---|---|---|
| LMArena Hard Prompts | 1220 | 1207 |
| LiveBench Reasoning | 36.7% | — |
| LiveBench Data Analysis | 37.2% | — |
| LiveBench | 36.4% | — |
| WinoGrande | — | 83.7% |

## Math

- Amazon Nova Lite: 25.8 (#243)
- Deepseek Coder v2: 32.3 (#188)

| Benchmark | Amazon Nova Lite | Deepseek Coder v2 |
|---|---|---|
| LMArena Math | 1227 | 1241 |
| Omni-MATH | 23.3% | — |
| LiveBench Math | 36.7% | — |
| GSM8K | — | 94.5% |

## Knowledge

- Amazon Nova Lite: 26.0 (#254)
- Deepseek Coder v2: 31.7 (#209)

| Benchmark | Amazon Nova Lite | Deepseek Coder v2 |
|---|---|---|
| LMArena Expert | 1201 | 1181 |
| Humanity's Last Exam | 3.6% | — |
| MMLU-Pro | 60% | — |
| Vectara Hallucination Rate | 6.1% | — |
| GPQA (HELM) | 39.7% | — |
| ARC (AI2) Challenge | — | 64.3% |
| MMLU | 77% | — |

## Multimodal

- Amazon Nova Lite: 25.0 (#118)
- Deepseek Coder v2: —

| Benchmark | Amazon Nova Lite | Deepseek Coder v2 |
|---|---|---|
| LMArena Vision | 990 | — |

## Multilingual

- Amazon Nova Lite: 38.2 (#227)
- Deepseek Coder v2: 36.4 (#235)

| Benchmark | Amazon Nova Lite | Deepseek Coder v2 |
|---|---|---|
| LMArena Non-English | 1208 | 1182 |
| LMArena Chinese | 1225 | 1201 |
| LMArena French | 1237 | 1184 |
| LMArena German | 1229 | 1164 |
| LMArena Japanese | 1153 | 1126 |
| LMArena Korean | 1153 | 1104 |
| LMArena Russian | 1216 | 1188 |
| LMArena Spanish | 1225 | 1153 |

## Instruction Following

- Amazon Nova Lite: 59.6 (#250)
- Deepseek Coder v2: 61.9 (#237)

| Benchmark | Amazon Nova Lite | Deepseek Coder v2 |
|---|---|---|
| LMArena Instruction Following | 1205 | 1180 |
| LiveBench Instruction Following | 54.1% | — |
| IFEval | 77.6% | — |

## Long Context

- Amazon Nova Lite: 37.4 (#212)
- Deepseek Coder v2: 37.0 (#219)

| Benchmark | Amazon Nova Lite | Deepseek Coder v2 |
|---|---|---|
| LMArena Longer Query | 1234 | 1219 |

## Writing & Preference

- Amazon Nova Lite: 42.3 (#232)
- Deepseek Coder v2: 38.4 (#249)

| Benchmark | Amazon Nova Lite | Deepseek Coder v2 |
|---|---|---|
| LMArena Text | 1229 | 1191 |
| LMArena Creative Writing | 1197 | 1120 |
| LMArena Multi-Turn | 1199 | 1176 |
| WildBench | 75% | — |
| LiveBench Language | 25.9% | — |

## FAQ

### Is Amazon Nova Lite better than Deepseek Coder v2?

Deepseek Coder v2 is the stronger model overall, scoring 35.3 to 31.4 on the Noometry Index.

### Is Amazon Nova Lite or Deepseek Coder v2 better for coding?

Deepseek Coder v2 scores higher on coding benchmarks: 37.5 versus 32.0 in the Noometry coding category.

### How many benchmarks do Amazon Nova Lite and Deepseek Coder v2 share?

17 benchmarks have published results for both models. Amazon Nova Lite has 34 scored results on Noometry and Deepseek Coder v2 has 24.