# GPT-5.5 Pro vs Llama 3.2 1B

> GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 20.1 on the Noometry Index. Llama 3.2 1B costs 957× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-5-5-pro-vs-llama-3-2-1b
- Last updated: 2026-10-12
- Shared benchmarks: 4

## Summary

- They share 4 benchmarks with published results for both. GPT-5.5 Pro scores higher in 3 categories and Llama 3.2 1B in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.5 Pro leads 84.0 to 10.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 100% for GPT-5.5 Pro and 0.6% for Llama 3.2 1B.
- Llama 3.2 1B is cheaper at $0.027 / $0.20 per million input/output tokens, against $30 / $180 for GPT-5.5 Pro.
- GPT-5.5 Pro accepts more context: 1.05M tokens versus 60K.
- Llama 3.2 1B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.5 Pro | Llama 3.2 1B |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 64.3 | 20.1 |
| Rank | 8 | 354 |
| Context | 1.05M | 60K |
| Input $/M | $30 | $0.027 |
| Output $/M | $180 | $0.20 |
| Weights | Proprietary | Open |

## Coding

- GPT-5.5 Pro: —
- Llama 3.2 1B: 21.1 (#338)

| Benchmark | GPT-5.5 Pro | Llama 3.2 1B |
|---|---|---|
| BigCodeBench Instruct | — | 8.2% |
| LMArena Coding | — | 1070 |
| BigCodeBench Complete | — | 11.3% |

## Agentic & Tool Use

- GPT-5.5 Pro: —
- Llama 3.2 1B: 14.6 (#150)

| Benchmark | GPT-5.5 Pro | Llama 3.2 1B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 10.8% |
| BALROG | — | 6.6% |

## Reasoning

- GPT-5.5 Pro: 73.3 (#10)
- Llama 3.2 1B: 16.2 (#308)

| Benchmark | GPT-5.5 Pro | Llama 3.2 1B |
|---|---|---|
| Chess Puzzles | 64% | 0% |
| Epoch Capabilities Index | 162.07 | 101.99 |
| ARC-AGI-2 | 84.6% | — |
| SimpleBench | 76.9% | — |
| ARC-AGI-1 | 96.5% | — |
| CritPt | 30.6% | — |
| LMArena Hard Prompts | — | 1044 |
| DTBench | 96% | — |
| LMCA | 53.9% | — |

## Math

- GPT-5.5 Pro: 84.0 (#10)
- Llama 3.2 1B: 10.4 (#313)

| Benchmark | GPT-5.5 Pro | Llama 3.2 1B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 100% | 0.6% |
| FrontierMath (Tiers 1-3) | 87.7% | — |
| FrontierMath Tier 4 | 78% | — |
| LMArena Math | — | 1086 |
| FrontierMath (Feb 2025 set) | 52.4% | — |
| FrontierMath Tier 4 (v1) | 39.6% | — |

## Knowledge

- GPT-5.5 Pro: 64.1 (#19)
- Llama 3.2 1B: 7.2 (#312)

| Benchmark | GPT-5.5 Pro | Llama 3.2 1B |
|---|---|---|
| GPQA Diamond | 93.9% | 23.9% |
| LMArena Expert | — | 1007 |

## Multilingual

- GPT-5.5 Pro: —
- Llama 3.2 1B: 23.8 (#292)

| Benchmark | GPT-5.5 Pro | Llama 3.2 1B |
|---|---|---|
| LMArena Non-English | — | 973 |
| LMArena Chinese | — | 959 |
| LMArena German | — | 1014 |
| LMArena Russian | — | 941 |

## Instruction Following

- GPT-5.5 Pro: —
- Llama 3.2 1B: 52.4 (#290)

| Benchmark | GPT-5.5 Pro | Llama 3.2 1B |
|---|---|---|
| LMArena Instruction Following | — | 1031 |

## Long Context

- GPT-5.5 Pro: —
- Llama 3.2 1B: 31.9 (#274)

| Benchmark | GPT-5.5 Pro | Llama 3.2 1B |
|---|---|---|
| LMArena Longer Query | — | 1050 |

## Writing & Preference

- GPT-5.5 Pro: —
- Llama 3.2 1B: 21.3 (#310)

| Benchmark | GPT-5.5 Pro | Llama 3.2 1B |
|---|---|---|
| LMArena Text | — | 1055 |
| LMArena Creative Writing | — | 1033 |
| EQ-Bench Creative Writing | — | 200 |
| LMArena Multi-Turn | — | 1030 |

## FAQ

### Is GPT-5.5 Pro better than Llama 3.2 1B?

GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 20.1 on the Noometry Index. Llama 3.2 1B costs 957× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.

### Which is cheaper, GPT-5.5 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; GPT-5.5 Pro lists at $30 and $180.

### Which has the bigger context window?

GPT-5.5 Pro does, with 1.05M tokens against 60K.

### How many benchmarks do GPT-5.5 Pro and Llama 3.2 1B share?

4 benchmarks have published results for both models. GPT-5.5 Pro has 14 scored results on Noometry and Llama 3.2 1B has 22.