# Amazon Nova Micro vs Claude Sonnet 4

> Claude Sonnet 4 is the stronger model overall, scoring 40.6 to 29.9 on the Noometry Index. Amazon Nova Micro costs 98× less per token, which makes it the better buy when Claude Sonnet 4's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/amazon-nova-micro-vs-claude-sonnet-4
- Last updated: 2026-10-10
- Shared benchmarks: 23

## Summary

- They share 23 benchmarks with published results for both. Amazon Nova Micro scores higher in 1 category and Claude Sonnet 4 in 8 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Claude Sonnet 4 leads 57.3 to 39.7.
- The biggest single-benchmark swing is Omni-MATH: 21.4% for Amazon Nova Micro and 60.2% for Claude Sonnet 4.
- Amazon Nova Micro is cheaper at $0.035 / $0.14 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.
- Claude Sonnet 4 accepts more context: 200K tokens versus 128K.

## Snapshot

| | Amazon Nova Micro | Claude Sonnet 4 |
|---|---|---|
| Provider | Amazon | Anthropic |
| Noometry Index | 29.9 | 40.6 |
| Rank | 290 | 139 |
| Context | 128K | 200K |
| Input $/M | $0.035 | $3 |
| Output $/M | $0.14 | $15 |
| Weights | Proprietary | Proprietary |

## Coding

- Amazon Nova Micro: 30.0 (#289)
- Claude Sonnet 4: 44.0 (#70)

| Benchmark | Amazon Nova Micro | Claude Sonnet 4 |
|---|---|---|
| LMArena Coding | 1218 | 1414 |
| SWE-bench Verified (bash only) | — | 64.9% |
| Aider Polyglot | — | 61.3% |
| SciCode | — | 40% |
| GSO | — | 4.9% |
| WeirdML | — | 46.1% |
| LiveBench Coding | 20.2% | — |
| ALE-Bench | — | 655.35 |

## Agentic & Tool Use

- Amazon Nova Micro: 21.9 (#125)
- Claude Sonnet 4: 38.3 (#29)

| Benchmark | Amazon Nova Micro | Claude Sonnet 4 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 22.3% | — |
| TheAgentCompany | — | 33.1% |
| Cybench | — | 35% |
| DeepResearch Bench | — | 46.6% |
| OSWorld | — | 43.9% |
| METR Time Horizons | — | 62% |

## Reasoning

- Amazon Nova Micro: 16.7 (#289)
- Claude Sonnet 4: 23.0 (#169)

| Benchmark | Amazon Nova Micro | Claude Sonnet 4 |
|---|---|---|
| LMArena Hard Prompts | 1191 | 1372 |
| ARC-AGI-2 | — | 5.9% |
| SimpleBench | — | 45.5% |
| Kagi LLM Benchmark | — | 73% |
| ARC-AGI-1 | — | 40% |
| CritPt | — | 0.3% |
| EnigmaEval | — | 3.1% |
| LiveBench Reasoning | 25.1% | — |
| DTBench | — | 77.1% |
| LiveBench Data Analysis | 34% | — |
| LMCA | — | 29% |
| Epoch Capabilities Index | — | 141.69 |
| ForecastBench | — | 60.2 |
| LiveBench | 29.6% | — |

## Math

- Amazon Nova Micro: 24.9 (#252)
- Claude Sonnet 4: 41.5 (#71)

| Benchmark | Amazon Nova Micro | Claude Sonnet 4 |
|---|---|---|
| Omni-MATH | 21.4% | 60.2% |
| LMArena Math | 1206 | 1375 |
| OTIS Mock AIME 2024-2025 | — | 71.1% |
| LiveBench Math | 34.5% | — |
| MATH Level 5 | — | 84.4% |
| FrontierMath (Feb 2025 set) | — | 4.1% |
| FrontierMath Tier 4 (v1) | — | 0% |

## Knowledge

- Amazon Nova Micro: 29.2 (#231)
- Claude Sonnet 4: 41.6 (#99)

| Benchmark | Amazon Nova Micro | Claude Sonnet 4 |
|---|---|---|
| MMLU-Pro | 51.1% | 84.3% |
| Vectara Hallucination Rate | 5.5% | 10.3% |
| GPQA (HELM) | 38.3% | 70.6% |
| LMArena Expert | 1184 | 1371 |
| GPQA Diamond | — | 79.2% |
| Humanity's Last Exam | — | 7.8% |
| Confabulations | — | 13.2% |
| MMLU | 70.8% | — |

## Multimodal

- Amazon Nova Micro: —
- Claude Sonnet 4: 25.6 (#116)

| Benchmark | Amazon Nova Micro | Claude Sonnet 4 |
|---|---|---|
| LMArena Vision | — | 1191 |
| GeoBench | — | 37% |
| VPCT | — | 34% |
| MindCube | — | 44.8% |

## Multilingual

- Amazon Nova Micro: 36.7 (#234)
- Claude Sonnet 4: 46.9 (#151)

| Benchmark | Amazon Nova Micro | Claude Sonnet 4 |
|---|---|---|
| LMArena Non-English | 1186 | 1333 |
| LMArena Chinese | 1209 | 1351 |
| LMArena French | 1237 | 1364 |
| LMArena German | 1192 | 1331 |
| LMArena Japanese | 1154 | 1301 |
| LMArena Korean | 1150 | 1293 |
| LMArena Russian | 1185 | 1355 |
| LMArena Spanish | 1225 | 1356 |

## Instruction Following

- Amazon Nova Micro: 56.6 (#267)
- Claude Sonnet 4: 71.8 (#141)

| Benchmark | Amazon Nova Micro | Claude Sonnet 4 |
|---|---|---|
| IFEval | 76% | 84% |
| LMArena Instruction Following | 1174 | 1375 |
| LiveBench Instruction Following | 48% | — |

## Long Context

- Amazon Nova Micro: 36.5 (#224)
- Claude Sonnet 4: 33.6 (#254)

| Benchmark | Amazon Nova Micro | Claude Sonnet 4 |
|---|---|---|
| LMArena Longer Query | 1206 | 1398 |
| Fiction.LiveBench | — | 46.9% |

## Writing & Preference

- Amazon Nova Micro: 39.7 (#242)
- Claude Sonnet 4: 57.3 (#127)

| Benchmark | Amazon Nova Micro | Claude Sonnet 4 |
|---|---|---|
| LMArena Text | 1208 | 1351 |
| LMArena Creative Writing | 1172 | 1345 |
| WildBench | 74.3% | 83.8% |
| LMArena Multi-Turn | 1178 | 1376 |
| Short-Story Creative Writing | — | 81.4% |
| EQ-Bench Creative Writing | — | 1483 |
| LiveBench Language | 15.8% | — |

## FAQ

### Is Amazon Nova Micro better than Claude Sonnet 4?

Claude Sonnet 4 is the stronger model overall, scoring 40.6 to 29.9 on the Noometry Index. Amazon Nova Micro costs 98× less per token, which makes it the better buy when Claude Sonnet 4's lead doesn't matter for your workload.

### Which is cheaper, Amazon Nova Micro or Claude Sonnet 4?

Amazon Nova Micro is cheaper. It lists at $0.035 per million input tokens and $0.14 per million output tokens; Claude Sonnet 4 lists at $3 and $15.

### Is Amazon Nova Micro or Claude Sonnet 4 better for coding?

Claude Sonnet 4 scores higher on coding benchmarks: 44.0 versus 30.0 in the Noometry coding category.

### Which has the bigger context window?

Claude Sonnet 4 does, with 200K tokens against 128K.

### How many benchmarks do Amazon Nova Micro and Claude Sonnet 4 share?

23 benchmarks have published results for both models. Amazon Nova Micro has 32 scored results on Noometry and Claude Sonnet 4 has 58.