# Llama 4 Scout vs Nova Premier 1.0

> Nova Premier 1.0 is the stronger model overall, scoring 37.7 to 27.4 on the Noometry Index. Llama 4 Scout costs 33× less per token, which makes it the better buy when Nova Premier 1.0's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/llama-4-scout-vs-nova-premier-1-0
- Last updated: 2026-10-10
- Shared benchmarks: 6

## Summary

- They share 6 benchmarks with published results for both. Llama 4 Scout scores higher in 0 categories and Nova Premier 1.0 in 5 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Nova Premier 1.0 leads 51.0 to 37.1.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 36.9% for Llama 4 Scout and 44.8% for Nova Premier 1.0.
- Llama 4 Scout is cheaper at $0.10 / $0.30 per million input/output tokens, against $2.50 / $12.50 for Nova Premier 1.0.
- Nova Premier 1.0 accepts more context: 1M tokens versus 128K.
- Llama 4 Scout has downloadable open weights; the other is API-only.

## Snapshot

| | Llama 4 Scout | Nova Premier 1.0 |
|---|---|---|
| Provider | Meta | Amazon |
| Noometry Index | 27.4 | 37.7 |
| Rank | 323 | 185 |
| Context | 128K | 1M |
| Input $/M | $0.10 | $2.50 |
| Output $/M | $0.30 | $12.50 |
| Weights | Open | Proprietary |

## Coding

- Llama 4 Scout: 19.9 (#334)
- Nova Premier 1.0: —

| Benchmark | Llama 4 Scout | Nova Premier 1.0 |
|---|---|---|
| SWE-bench Verified (bash only) | 9.1% | — |
| SciCode | 17% | — |
| LMArena Coding | 1286 | — |
| BigCodeBench Complete | 43.1% | — |

## Agentic & Tool Use

- Llama 4 Scout: 24.4 (#109)
- Nova Premier 1.0: —

| Benchmark | Llama 4 Scout | Nova Premier 1.0 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 28.1% | — |

## Reasoning

- Llama 4 Scout: 9.2 (#339)
- Nova Premier 1.0: 22.3 (#182)

| Benchmark | Llama 4 Scout | Nova Premier 1.0 |
|---|---|---|
| Kagi LLM Benchmark | 36.9% | 44.8% |
| ARC-AGI-2 | 0% | — |
| ARC-AGI-1 | 0.5% | — |
| CritPt | 0% | — |
| LMArena Hard Prompts | 1266 | — |
| DTBench | 57.9% | — |
| LMCA | 12% | — |
| Epoch Capabilities Index | 129.64 | — |
| ForecastBench | 57.5 | — |

## Math

- Llama 4 Scout: 18.4 (#280)
- Nova Premier 1.0: 31.5 (#194)

| Benchmark | Llama 4 Scout | Nova Premier 1.0 |
|---|---|---|
| Omni-MATH | 37.3% | 35% |
| OTIS Mock AIME 2024-2025 | 7.8% | — |
| LMArena Math | 1286 | — |
| MATH Level 5 | 62.3% | — |
| FrontierMath (Feb 2025 set) | 0% | — |

## Knowledge

- Llama 4 Scout: 31.8 (#208)
- Nova Premier 1.0: 35.4 (#176)

| Benchmark | Llama 4 Scout | Nova Premier 1.0 |
|---|---|---|
| MMLU-Pro | 74.2% | 72.6% |
| GPQA (HELM) | 50.7% | 51.8% |
| GPQA Diamond | 51.8% | — |
| Vectara Hallucination Rate | 7.7% | — |
| LMArena Expert | 1236 | — |

## Multimodal

- Llama 4 Scout: 31.6 (#98)
- Nova Premier 1.0: —

| Benchmark | Llama 4 Scout | Nova Premier 1.0 |
|---|---|---|
| LMArena Vision | 1118 | — |
| SpatialViz-Bench | 34.2% | — |

## Multilingual

- Llama 4 Scout: 41.3 (#207)
- Nova Premier 1.0: —

| Benchmark | Llama 4 Scout | Nova Premier 1.0 |
|---|---|---|
| LMArena Non-English | 1253 | — |
| LMArena Chinese | 1256 | — |
| LMArena French | 1283 | — |
| LMArena German | 1274 | — |
| LMArena Japanese | 1209 | — |
| LMArena Korean | 1207 | — |
| LMArena Russian | 1263 | — |
| LMArena Spanish | 1277 | — |

## Instruction Following

- Llama 4 Scout: 66.0 (#212)
- Nova Premier 1.0: 66.9 (#201)

| Benchmark | Llama 4 Scout | Nova Premier 1.0 |
|---|---|---|
| IFEval | 81.8% | 80.3% |
| LMArena Instruction Following | 1248 | — |

## Long Context

- Llama 4 Scout: 27.5 (#289)
- Nova Premier 1.0: —

| Benchmark | Llama 4 Scout | Nova Premier 1.0 |
|---|---|---|
| Fiction.LiveBench | 36% | — |
| LMArena Longer Query | 1265 | — |

## Writing & Preference

- Llama 4 Scout: 37.1 (#256)
- Nova Premier 1.0: 51.0 (#174)

| Benchmark | Llama 4 Scout | Nova Premier 1.0 |
|---|---|---|
| WildBench | 78% | 78.8% |
| LMArena Text | 1279 | — |
| LMArena Creative Writing | 1249 | — |
| EQ-Bench Creative Writing | 783 | — |
| LMArena Multi-Turn | 1281 | — |

## FAQ

### Is Llama 4 Scout better than Nova Premier 1.0?

Nova Premier 1.0 is the stronger model overall, scoring 37.7 to 27.4 on the Noometry Index. Llama 4 Scout costs 33× less per token, which makes it the better buy when Nova Premier 1.0's lead doesn't matter for your workload.

### Which is cheaper, Llama 4 Scout or Nova Premier 1.0?

Llama 4 Scout is cheaper. It lists at $0.10 per million input tokens and $0.30 per million output tokens; Nova Premier 1.0 lists at $2.50 and $12.50.

### Which has the bigger context window?

Nova Premier 1.0 does, with 1M tokens against 128K.

### How many benchmarks do Llama 4 Scout and Nova Premier 1.0 share?

6 benchmarks have published results for both models. Llama 4 Scout has 43 scored results on Noometry and Nova Premier 1.0 has 6.