# Amazon Nova Pro vs Llama 4 Scout

> Amazon Nova Pro is the stronger model overall, scoring 31.0 to 27.7 on the Noometry Index. Llama 4 Scout costs 9.3× less per token, which makes it the better buy when Amazon Nova Pro's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/amazon-nova-pro-vs-llama-4-scout
- Last updated: 2026-10-11
- Shared benchmarks: 26

## Summary

- They share 26 benchmarks with published results for both. Amazon Nova Pro scores higher in 5 categories and Llama 4 Scout in 5 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in coding, where Amazon Nova Pro leads 35.1 to 20.2.
- The biggest single-benchmark swing is Omni-MATH: 24.2% for Amazon Nova Pro and 37.3% for Llama 4 Scout.
- Llama 4 Scout is cheaper at $0.10 / $0.30 per million input/output tokens, against $0.80 / $3.20 for Amazon Nova Pro.
- Amazon Nova Pro accepts more context: 300K tokens versus 128K.
- Llama 4 Scout has downloadable open weights; the other is API-only.

## Snapshot

| | Amazon Nova Pro | Llama 4 Scout |
|---|---|---|
| Provider | Amazon | Meta |
| Noometry Index | 31.0 | 27.7 |
| Rank | 281 | 330 |
| Context | 300K | 128K |
| Input $/M | $0.80 | $0.10 |
| Output $/M | $3.20 | $0.30 |
| Weights | Proprietary | Open |

## Coding

- Amazon Nova Pro: 35.1 (#229)
- Llama 4 Scout: 20.2 (#339)

| Benchmark | Amazon Nova Pro | Llama 4 Scout |
|---|---|---|
| LMArena Coding | 1270 | 1286 |
| SWE-bench Verified (bash only) | — | 9.1% |
| SciCode | — | 17% |
| LiveBench Coding | 38.1% | — |
| BigCodeBench Complete | — | 43.1% |

## Agentic & Tool Use

- Amazon Nova Pro: 16.7 (#147)
- Llama 4 Scout: 24.6 (#119)

| Benchmark | Amazon Nova Pro | Llama 4 Scout |
|---|---|---|
| Berkeley Function Calling Leaderboard | 25% | 28.1% |
| TheAgentCompany | 1.7% | — |

## Reasoning

- Amazon Nova Pro: 20.0 (#243)
- Llama 4 Scout: 9.1 (#345)

| Benchmark | Amazon Nova Pro | Llama 4 Scout |
|---|---|---|
| LMArena Hard Prompts | 1246 | 1266 |
| Epoch Capabilities Index | 123.8 | 129.64 |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 36.9% |
| ARC-AGI-1 | — | 0.5% |
| CritPt | — | 0% |
| LiveBench Reasoning | 32.6% | — |
| DTBench | — | 57.9% |
| LiveBench Data Analysis | 48.3% | — |
| LMCA | — | 12% |
| ForecastBench | — | 57.5 |
| LiveBench | 43.5% | — |

## Math

- Amazon Nova Pro: 28.5 (#243)
- Llama 4 Scout: 19.6 (#286)

| Benchmark | Amazon Nova Pro | Llama 4 Scout |
|---|---|---|
| Omni-MATH | 24.2% | 37.3% |
| LMArena Math | 1252 | 1287 |
| OTIS Mock AIME 2024-2025 | — | 7.8% |
| LiveBench Math | 38% | — |
| MATH Level 5 | — | 62.3% |
| FrontierMath (Feb 2025 set) | — | 0% |

## Knowledge

- Amazon Nova Pro: 27.4 (#250)
- Llama 4 Scout: 31.9 (#217)

| Benchmark | Amazon Nova Pro | Llama 4 Scout |
|---|---|---|
| MMLU-Pro | 67.3% | 74.2% |
| Vectara Hallucination Rate | 5.1% | 7.7% |
| GPQA (HELM) | 44.6% | 50.7% |
| LMArena Expert | 1211 | 1235 |
| GPQA Diamond | — | 51.8% |
| Humanity's Last Exam | 4.4% | — |
| Confabulations | 30.1% | — |
| MMLU | 82% | — |

## Multimodal

- Amazon Nova Pro: 25.0 (#126)
- Llama 4 Scout: 32.2 (#102)

| Benchmark | Amazon Nova Pro | Llama 4 Scout |
|---|---|---|
| LMArena Vision | 980 | 1118 |
| SpatialViz-Bench | — | 34.2% |

## Multilingual

- Amazon Nova Pro: 39.7 (#223)
- Llama 4 Scout: 41.0 (#212)

| Benchmark | Amazon Nova Pro | Llama 4 Scout |
|---|---|---|
| LMArena Non-English | 1234 | 1252 |
| LMArena Chinese | 1244 | 1255 |
| LMArena French | 1271 | 1282 |
| LMArena German | 1243 | 1272 |
| LMArena Japanese | 1200 | 1206 |
| LMArena Korean | 1203 | 1207 |
| LMArena Russian | 1240 | 1263 |
| LMArena Spanish | 1182 | 1278 |

## Instruction Following

- Amazon Nova Pro: 64.9 (#226)
- Llama 4 Scout: 65.8 (#217)

| Benchmark | Amazon Nova Pro | Llama 4 Scout |
|---|---|---|
| IFEval | 81.5% | 81.8% |
| LMArena Instruction Following | 1235 | 1248 |
| LiveBench Instruction Following | 67.1% | — |

## Long Context

- Amazon Nova Pro: 38.1 (#205)
- Llama 4 Scout: 27.5 (#294)

| Benchmark | Amazon Nova Pro | Llama 4 Scout |
|---|---|---|
| LMArena Longer Query | 1255 | 1265 |
| Fiction.LiveBench | — | 36% |

## Writing & Preference

- Amazon Nova Pro: 43.9 (#226)
- Llama 4 Scout: 37.0 (#261)

| Benchmark | Amazon Nova Pro | Llama 4 Scout |
|---|---|---|
| LMArena Text | 1259 | 1279 |
| LMArena Creative Writing | 1212 | 1249 |
| WildBench | 77.7% | 78% |
| LMArena Multi-Turn | 1246 | 1280 |
| Short-Story Creative Writing | 60.5% | — |
| EQ-Bench Creative Writing | — | 783 |
| LiveBench Language | 37% | — |

## FAQ

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

Amazon Nova Pro is the stronger model overall, scoring 31.0 to 27.7 on the Noometry Index. Llama 4 Scout costs 9.3× less per token, which makes it the better buy when Amazon Nova Pro's lead doesn't matter for your workload.

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

Llama 4 Scout is cheaper. It lists at $0.10 per million input tokens and $0.30 per million output tokens; Amazon Nova Pro lists at $0.80 and $3.20.

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

Amazon Nova Pro scores higher on coding benchmarks: 35.1 versus 20.2 in the Noometry coding category.

### Which has the bigger context window?

Amazon Nova Pro does, with 300K tokens against 128K.

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

26 benchmarks have published results for both models. Amazon Nova Pro has 38 scored results on Noometry and Llama 4 Scout has 43.