# Amazon Nova Micro vs Llama 4 Scout

> Amazon Nova Micro is the stronger model overall, scoring 29.9 to 27.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/amazon-nova-micro-vs-llama-4-scout
- Last updated: 2026-10-10
- Shared benchmarks: 24

## Summary

- They share 24 benchmarks with published results for both. Amazon Nova Micro scores higher in 5 categories and Llama 4 Scout in 4 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in coding, where Amazon Nova Micro leads 30.0 to 19.9.
- The biggest single-benchmark swing is MMLU-Pro: 51.1% for Amazon Nova Micro and 74.2% for Llama 4 Scout.
- Amazon Nova Micro is cheaper at $0.035 / $0.14 per million input/output tokens, against $0.10 / $0.30 for Llama 4 Scout.
- Llama 4 Scout has downloadable open weights; the other is API-only.

## Snapshot

| | Amazon Nova Micro | Llama 4 Scout |
|---|---|---|
| Provider | Amazon | Meta |
| Noometry Index | 29.9 | 27.4 |
| Rank | 290 | 323 |
| Context | 128K | 128K |
| Input $/M | $0.035 | $0.10 |
| Output $/M | $0.14 | $0.30 |
| Weights | Proprietary | Open |

## Coding

- Amazon Nova Micro: 30.0 (#289)
- Llama 4 Scout: 19.9 (#334)

| Benchmark | Amazon Nova Micro | Llama 4 Scout |
|---|---|---|
| LMArena Coding | 1218 | 1286 |
| SWE-bench Verified (bash only) | — | 9.1% |
| SciCode | — | 17% |
| LiveBench Coding | 20.2% | — |
| BigCodeBench Complete | — | 43.1% |

## Agentic & Tool Use

- Amazon Nova Micro: 21.9 (#125)
- Llama 4 Scout: 24.4 (#109)

| Benchmark | Amazon Nova Micro | Llama 4 Scout |
|---|---|---|
| Berkeley Function Calling Leaderboard | 22.3% | 28.1% |

## Reasoning

- Amazon Nova Micro: 16.7 (#289)
- Llama 4 Scout: 9.2 (#339)

| Benchmark | Amazon Nova Micro | Llama 4 Scout |
|---|---|---|
| LMArena Hard Prompts | 1191 | 1266 |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 36.9% |
| ARC-AGI-1 | — | 0.5% |
| CritPt | — | 0% |
| LiveBench Reasoning | 25.1% | — |
| DTBench | — | 57.9% |
| LiveBench Data Analysis | 34% | — |
| LMCA | — | 12% |
| Epoch Capabilities Index | — | 129.64 |
| ForecastBench | — | 57.5 |
| LiveBench | 29.6% | — |

## Math

- Amazon Nova Micro: 24.9 (#252)
- Llama 4 Scout: 18.4 (#280)

| Benchmark | Amazon Nova Micro | Llama 4 Scout |
|---|---|---|
| Omni-MATH | 21.4% | 37.3% |
| LMArena Math | 1206 | 1286 |
| OTIS Mock AIME 2024-2025 | — | 7.8% |
| LiveBench Math | 34.5% | — |
| MATH Level 5 | — | 62.3% |
| FrontierMath (Feb 2025 set) | — | 0% |

## Knowledge

- Amazon Nova Micro: 29.2 (#231)
- Llama 4 Scout: 31.8 (#208)

| Benchmark | Amazon Nova Micro | Llama 4 Scout |
|---|---|---|
| MMLU-Pro | 51.1% | 74.2% |
| Vectara Hallucination Rate | 5.5% | 7.7% |
| GPQA (HELM) | 38.3% | 50.7% |
| LMArena Expert | 1184 | 1236 |
| GPQA Diamond | — | 51.8% |
| MMLU | 70.8% | — |

## Multimodal

- Amazon Nova Micro: —
- Llama 4 Scout: 31.6 (#98)

| Benchmark | Amazon Nova Micro | Llama 4 Scout |
|---|---|---|
| LMArena Vision | — | 1118 |
| SpatialViz-Bench | — | 34.2% |

## Multilingual

- Amazon Nova Micro: 36.7 (#234)
- Llama 4 Scout: 41.3 (#207)

| Benchmark | Amazon Nova Micro | Llama 4 Scout |
|---|---|---|
| LMArena Non-English | 1186 | 1253 |
| LMArena Chinese | 1209 | 1256 |
| LMArena French | 1237 | 1283 |
| LMArena German | 1192 | 1274 |
| LMArena Japanese | 1154 | 1209 |
| LMArena Korean | 1150 | 1207 |
| LMArena Russian | 1185 | 1263 |
| LMArena Spanish | 1225 | 1277 |

## Instruction Following

- Amazon Nova Micro: 56.6 (#267)
- Llama 4 Scout: 66.0 (#212)

| Benchmark | Amazon Nova Micro | Llama 4 Scout |
|---|---|---|
| IFEval | 76% | 81.8% |
| LMArena Instruction Following | 1174 | 1248 |
| LiveBench Instruction Following | 48% | — |

## Long Context

- Amazon Nova Micro: 36.5 (#224)
- Llama 4 Scout: 27.5 (#289)

| Benchmark | Amazon Nova Micro | Llama 4 Scout |
|---|---|---|
| LMArena Longer Query | 1206 | 1265 |
| Fiction.LiveBench | — | 36% |

## Writing & Preference

- Amazon Nova Micro: 39.7 (#242)
- Llama 4 Scout: 37.1 (#256)

| Benchmark | Amazon Nova Micro | Llama 4 Scout |
|---|---|---|
| LMArena Text | 1208 | 1279 |
| LMArena Creative Writing | 1172 | 1249 |
| WildBench | 74.3% | 78% |
| LMArena Multi-Turn | 1178 | 1281 |
| EQ-Bench Creative Writing | — | 783 |
| LiveBench Language | 15.8% | — |

## FAQ

### Is Amazon Nova Micro better than Llama 4 Scout?

Amazon Nova Micro is the stronger model overall, scoring 29.9 to 27.4 on the Noometry Index.

### Which is cheaper, Amazon Nova Micro or Llama 4 Scout?

Amazon Nova Micro is cheaper. It lists at $0.035 per million input tokens and $0.14 per million output tokens; Llama 4 Scout lists at $0.10 and $0.30.

### Is Amazon Nova Micro or Llama 4 Scout better for coding?

Amazon Nova Micro scores higher on coding benchmarks: 30.0 versus 19.9 in the Noometry coding category.

### Which has the bigger context window?

Both accept 128K tokens.

### How many benchmarks do Amazon Nova Micro and Llama 4 Scout share?

24 benchmarks have published results for both models. Amazon Nova Micro has 32 scored results on Noometry and Llama 4 Scout has 43.