# Amazon Nova Pro vs Llama 3.2 1B

> Amazon Nova Pro is the stronger model overall, scoring 31.0 to 20.1 on the Noometry Index. Llama 3.2 1B costs 20× 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-3-2-1b
- Last updated: 2026-10-11
- Shared benchmarks: 15

## Summary

- They share 15 benchmarks with published results for both. Amazon Nova Pro scores higher in 9 categories and Llama 3.2 1B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Amazon Nova Pro leads 43.9 to 21.3.
- The biggest single-benchmark swing is Berkeley Function Calling Leaderboard: 25% for Amazon Nova Pro and 10.8% for Llama 3.2 1B.
- Llama 3.2 1B is cheaper at $0.027 / $0.20 per million input/output tokens, against $0.80 / $3.20 for Amazon Nova Pro.
- Amazon Nova Pro accepts more context: 300K tokens versus 60K.
- Llama 3.2 1B has downloadable open weights; the other is API-only.

## Snapshot

| | Amazon Nova Pro | Llama 3.2 1B |
|---|---|---|
| Provider | Amazon | Meta |
| Noometry Index | 31.0 | 20.1 |
| Rank | 281 | 354 |
| Context | 300K | 60K |
| Input $/M | $0.80 | $0.027 |
| Output $/M | $3.20 | $0.20 |
| Weights | Proprietary | Open |

## Coding

- Amazon Nova Pro: 35.1 (#229)
- Llama 3.2 1B: 21.1 (#338)

| Benchmark | Amazon Nova Pro | Llama 3.2 1B |
|---|---|---|
| LMArena Coding | 1270 | 1070 |
| BigCodeBench Instruct | — | 8.2% |
| LiveBench Coding | 38.1% | — |
| BigCodeBench Complete | — | 11.3% |

## Agentic & Tool Use

- Amazon Nova Pro: 16.7 (#147)
- Llama 3.2 1B: 14.6 (#150)

| Benchmark | Amazon Nova Pro | Llama 3.2 1B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 25% | 10.8% |
| TheAgentCompany | 1.7% | — |
| BALROG | — | 6.6% |

## Reasoning

- Amazon Nova Pro: 20.0 (#243)
- Llama 3.2 1B: 16.2 (#308)

| Benchmark | Amazon Nova Pro | Llama 3.2 1B |
|---|---|---|
| LMArena Hard Prompts | 1246 | 1044 |
| Epoch Capabilities Index | 123.8 | 101.99 |
| Chess Puzzles | — | 0% |
| LiveBench Reasoning | 32.6% | — |
| LiveBench Data Analysis | 48.3% | — |
| LiveBench | 43.5% | — |

## Math

- Amazon Nova Pro: 28.5 (#243)
- Llama 3.2 1B: 10.4 (#313)

| Benchmark | Amazon Nova Pro | Llama 3.2 1B |
|---|---|---|
| LMArena Math | 1252 | 1086 |
| OTIS Mock AIME 2024-2025 | — | 0.6% |
| Omni-MATH | 24.2% | — |
| LiveBench Math | 38% | — |

## Knowledge

- Amazon Nova Pro: 27.4 (#250)
- Llama 3.2 1B: 7.2 (#312)

| Benchmark | Amazon Nova Pro | Llama 3.2 1B |
|---|---|---|
| LMArena Expert | 1211 | 1007 |
| GPQA Diamond | — | 23.9% |
| Humanity's Last Exam | 4.4% | — |
| MMLU-Pro | 67.3% | — |
| Confabulations | 30.1% | — |
| Vectara Hallucination Rate | 5.1% | — |
| GPQA (HELM) | 44.6% | — |
| MMLU | 82% | — |

## Multimodal

- Amazon Nova Pro: 25.0 (#126)
- Llama 3.2 1B: —

| Benchmark | Amazon Nova Pro | Llama 3.2 1B |
|---|---|---|
| LMArena Vision | 980 | — |

## Multilingual

- Amazon Nova Pro: 39.7 (#223)
- Llama 3.2 1B: 23.8 (#292)

| Benchmark | Amazon Nova Pro | Llama 3.2 1B |
|---|---|---|
| LMArena Non-English | 1234 | 973 |
| LMArena Chinese | 1244 | 959 |
| LMArena German | 1243 | 1014 |
| LMArena Russian | 1240 | 941 |
| LMArena French | 1271 | — |
| LMArena Japanese | 1200 | — |
| LMArena Korean | 1203 | — |
| LMArena Spanish | 1182 | — |

## Instruction Following

- Amazon Nova Pro: 64.9 (#226)
- Llama 3.2 1B: 52.4 (#290)

| Benchmark | Amazon Nova Pro | Llama 3.2 1B |
|---|---|---|
| LMArena Instruction Following | 1235 | 1031 |
| LiveBench Instruction Following | 67.1% | — |
| IFEval | 81.5% | — |

## Long Context

- Amazon Nova Pro: 38.1 (#205)
- Llama 3.2 1B: 31.9 (#274)

| Benchmark | Amazon Nova Pro | Llama 3.2 1B |
|---|---|---|
| LMArena Longer Query | 1255 | 1050 |

## Writing & Preference

- Amazon Nova Pro: 43.9 (#226)
- Llama 3.2 1B: 21.3 (#310)

| Benchmark | Amazon Nova Pro | Llama 3.2 1B |
|---|---|---|
| LMArena Text | 1259 | 1055 |
| LMArena Creative Writing | 1212 | 1033 |
| LMArena Multi-Turn | 1246 | 1030 |
| Short-Story Creative Writing | 60.5% | — |
| EQ-Bench Creative Writing | — | 200 |
| WildBench | 77.7% | — |
| LiveBench Language | 37% | — |

## FAQ

### Is Amazon Nova Pro better than Llama 3.2 1B?

Amazon Nova Pro is the stronger model overall, scoring 31.0 to 20.1 on the Noometry Index. Llama 3.2 1B costs 20× 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 3.2 1B?

Llama 3.2 1B is cheaper. It lists at $0.027 per million input tokens and $0.20 per million output tokens; Amazon Nova Pro lists at $0.80 and $3.20.

### Is Amazon Nova Pro or Llama 3.2 1B better for coding?

Amazon Nova Pro scores higher on coding benchmarks: 35.1 versus 21.1 in the Noometry coding category.

### Which has the bigger context window?

Amazon Nova Pro does, with 300K tokens against 60K.

### How many benchmarks do Amazon Nova Pro and Llama 3.2 1B share?

15 benchmarks have published results for both models. Amazon Nova Pro has 38 scored results on Noometry and Llama 3.2 1B has 22.