# Llama 3.2 3B vs o1-pro

> o1-pro is the stronger model overall, scoring 31.2 to 28.4 on the Noometry Index. Llama 3.2 3B costs 2188× less per token, which makes it the better buy when o1-pro's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/llama-3-2-3b-vs-o1-pro
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- Llama 3.2 3B is cheaper at $0.05 / $0.33 per million input/output tokens, against $150 / $600 for o1-pro.
- o1-pro accepts more context: 200K tokens versus 131K.
- Llama 3.2 3B has downloadable open weights; the other is API-only.

## Snapshot

| | Llama 3.2 3B | o1-pro |
|---|---|---|
| Provider | Meta | OpenAI |
| Noometry Index | 28.4 | 31.2 |
| Rank | 318 | 264 |
| Context | 131K | 200K |
| Input $/M | $0.05 | $150 |
| Output $/M | $0.33 | $600 |
| Weights | Open | Proprietary |

## Coding

- Llama 3.2 3B: 27.1 (#314)
- o1-pro: —

| Benchmark | Llama 3.2 3B | o1-pro |
|---|---|---|
| BigCodeBench Instruct | 23.4% | — |
| LMArena Coding | 1098 | — |
| BigCodeBench Complete | 28.3% | — |

## Agentic & Tool Use

- Llama 3.2 3B: 19.9 (#135)
- o1-pro: —

| Benchmark | Llama 3.2 3B | o1-pro |
|---|---|---|
| Berkeley Function Calling Leaderboard | 21.9% | — |
| BALROG | 10.1% | — |

## Reasoning

- Llama 3.2 3B: 20.1 (#225)
- o1-pro: 20.2 (#223)

| Benchmark | Llama 3.2 3B | o1-pro |
|---|---|---|
| ARC-AGI-1 | — | 23.3% |
| EnigmaEval | — | 6.1% |
| LMArena Hard Prompts | 1095 | — |

## Math

- Llama 3.2 3B: 29.9 (#213)
- o1-pro: —

| Benchmark | Llama 3.2 3B | o1-pro |
|---|---|---|
| LMArena Math | 1126 | — |

## Knowledge

- Llama 3.2 3B: 29.1 (#232)
- o1-pro: 29.3 (#227)

| Benchmark | Llama 3.2 3B | o1-pro |
|---|---|---|
| Humanity's Last Exam | — | 8.1% |
| LMArena Expert | 1090 | — |

## Multilingual

- Llama 3.2 3B: 26.4 (#276)
- o1-pro: —

| Benchmark | Llama 3.2 3B | o1-pro |
|---|---|---|
| LMArena Non-English | 1019 | — |
| LMArena Chinese | 1017 | — |
| LMArena German | 1056 | — |
| LMArena Russian | 949 | — |

## Instruction Following

- Llama 3.2 3B: 56.3 (#270)
- o1-pro: —

| Benchmark | Llama 3.2 3B | o1-pro |
|---|---|---|
| LMArena Instruction Following | 1089 | — |

## Long Context

- Llama 3.2 3B: 33.4 (#256)
- o1-pro: —

| Benchmark | Llama 3.2 3B | o1-pro |
|---|---|---|
| LMArena Longer Query | 1101 | — |

## Writing & Preference

- Llama 3.2 3B: 24.9 (#302)
- o1-pro: —

| Benchmark | Llama 3.2 3B | o1-pro |
|---|---|---|
| LMArena Text | 1110 | — |
| LMArena Creative Writing | 1094 | — |
| EQ-Bench Creative Writing | 595 | — |
| LMArena Multi-Turn | 1105 | — |

## FAQ

### Is Llama 3.2 3B better than o1-pro?

o1-pro is the stronger model overall, scoring 31.2 to 28.4 on the Noometry Index. Llama 3.2 3B costs 2188× less per token, which makes it the better buy when o1-pro's lead doesn't matter for your workload.

### Which is cheaper, Llama 3.2 3B or o1-pro?

Llama 3.2 3B is cheaper. It lists at $0.05 per million input tokens and $0.33 per million output tokens; o1-pro lists at $150 and $600.

### Which has the bigger context window?

o1-pro does, with 200K tokens against 131K.

### How many benchmarks do Llama 3.2 3B and o1-pro share?

0 benchmarks have published results for both models. Llama 3.2 3B has 18 scored results on Noometry and o1-pro has 3.