# Amazon Nova Micro vs Deepseek Coder v2

> Deepseek Coder v2 is the stronger model overall, scoring 35.3 to 29.9 on the Noometry Index.

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

## Summary

- They share 17 benchmarks with published results for both. Amazon Nova Micro scores higher in 2 categories and Deepseek Coder v2 in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in coding, where Deepseek Coder v2 leads 37.5 to 30.0.
- Deepseek Coder v2 has downloadable open weights; the other is API-only.

## Snapshot

| | Amazon Nova Micro | Deepseek Coder v2 |
|---|---|---|
| Provider | Amazon | DeepSeek |
| Noometry Index | 29.9 | 35.3 |
| Rank | 290 | 217 |
| Context | 128K | — |
| Input $/M | $0.035 | — |
| Output $/M | $0.14 | — |
| Weights | Proprietary | Open |

## Coding

- Amazon Nova Micro: 30.0 (#289)
- Deepseek Coder v2: 37.5 (#178)

| Benchmark | Amazon Nova Micro | Deepseek Coder v2 |
|---|---|---|
| LMArena Coding | 1218 | 1251 |
| BigCodeBench Instruct | — | 48.2% |
| LiveBench Coding | 20.2% | — |
| BigCodeBench Complete | — | 59.7% |
| HumanEval+ | — | 82.3% |
| MBPP+ | — | 75.1% |

## Agentic & Tool Use

- Amazon Nova Micro: 21.9 (#125)
- Deepseek Coder v2: —

| Benchmark | Amazon Nova Micro | Deepseek Coder v2 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 22.3% | — |

## Reasoning

- Amazon Nova Micro: 16.7 (#289)
- Deepseek Coder v2: 22.6 (#175)

| Benchmark | Amazon Nova Micro | Deepseek Coder v2 |
|---|---|---|
| LMArena Hard Prompts | 1191 | 1207 |
| LiveBench Reasoning | 25.1% | — |
| LiveBench Data Analysis | 34% | — |
| LiveBench | 29.6% | — |
| WinoGrande | — | 83.7% |

## Math

- Amazon Nova Micro: 24.9 (#252)
- Deepseek Coder v2: 32.3 (#188)

| Benchmark | Amazon Nova Micro | Deepseek Coder v2 |
|---|---|---|
| LMArena Math | 1206 | 1241 |
| Omni-MATH | 21.4% | — |
| LiveBench Math | 34.5% | — |
| GSM8K | — | 94.5% |

## Knowledge

- Amazon Nova Micro: 29.2 (#231)
- Deepseek Coder v2: 31.7 (#209)

| Benchmark | Amazon Nova Micro | Deepseek Coder v2 |
|---|---|---|
| LMArena Expert | 1184 | 1181 |
| MMLU-Pro | 51.1% | — |
| Vectara Hallucination Rate | 5.5% | — |
| GPQA (HELM) | 38.3% | — |
| ARC (AI2) Challenge | — | 64.3% |
| MMLU | 70.8% | — |

## Multilingual

- Amazon Nova Micro: 36.7 (#234)
- Deepseek Coder v2: 36.4 (#235)

| Benchmark | Amazon Nova Micro | Deepseek Coder v2 |
|---|---|---|
| LMArena Non-English | 1186 | 1182 |
| LMArena Chinese | 1209 | 1201 |
| LMArena French | 1237 | 1184 |
| LMArena German | 1192 | 1164 |
| LMArena Japanese | 1154 | 1126 |
| LMArena Korean | 1150 | 1104 |
| LMArena Russian | 1185 | 1188 |
| LMArena Spanish | 1225 | 1153 |

## Instruction Following

- Amazon Nova Micro: 56.6 (#267)
- Deepseek Coder v2: 61.9 (#237)

| Benchmark | Amazon Nova Micro | Deepseek Coder v2 |
|---|---|---|
| LMArena Instruction Following | 1174 | 1180 |
| LiveBench Instruction Following | 48% | — |
| IFEval | 76% | — |

## Long Context

- Amazon Nova Micro: 36.5 (#224)
- Deepseek Coder v2: 37.0 (#219)

| Benchmark | Amazon Nova Micro | Deepseek Coder v2 |
|---|---|---|
| LMArena Longer Query | 1206 | 1219 |

## Writing & Preference

- Amazon Nova Micro: 39.7 (#242)
- Deepseek Coder v2: 38.4 (#249)

| Benchmark | Amazon Nova Micro | Deepseek Coder v2 |
|---|---|---|
| LMArena Text | 1208 | 1191 |
| LMArena Creative Writing | 1172 | 1120 |
| LMArena Multi-Turn | 1178 | 1176 |
| WildBench | 74.3% | — |
| LiveBench Language | 15.8% | — |

## FAQ

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

Deepseek Coder v2 is the stronger model overall, scoring 35.3 to 29.9 on the Noometry Index.

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

Deepseek Coder v2 scores higher on coding benchmarks: 37.5 versus 30.0 in the Noometry coding category.

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

17 benchmarks have published results for both models. Amazon Nova Micro has 32 scored results on Noometry and Deepseek Coder v2 has 24.