# GPT-5.5 Pro vs Llama 2-13B

> GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 29.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-5-5-pro-vs-llama-2-13b
- Last updated: 2026-10-10
- Shared benchmarks: 3

## Summary

- They share 3 benchmarks with published results for both. GPT-5.5 Pro scores higher in 3 categories and Llama 2-13B in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.5 Pro leads 73.6 to 12.3.
- The biggest single-benchmark swing is Chess Puzzles: 64% for GPT-5.5 Pro and 0% for Llama 2-13B.
- Llama 2-13B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.5 Pro | Llama 2-13B |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 64.3 | 29.1 |
| Rank | 7 | 304 |
| Context | 1.05M | — |
| Input $/M | $30 | — |
| Output $/M | $180 | — |
| Weights | Proprietary | Open |

## Coding

- GPT-5.5 Pro: —
- Llama 2-13B: 30.4 (#287)

| Benchmark | GPT-5.5 Pro | Llama 2-13B |
|---|---|---|
| LMArena Coding | — | 1062 |

## Reasoning

- GPT-5.5 Pro: 73.6 (#7)
- Llama 2-13B: 12.3 (#333)

| Benchmark | GPT-5.5 Pro | Llama 2-13B |
|---|---|---|
| Chess Puzzles | 64% | 0% |
| DTBench | 96% | 42.2% |
| Epoch Capabilities Index | 162.45 | 105.8 |
| ARC-AGI-2 | 84.6% | — |
| SimpleBench | 76.9% | — |
| ARC-AGI-1 | 96.5% | — |
| CritPt | 30.6% | — |
| LMArena Hard Prompts | — | 1051 |
| LMCA | 53.9% | — |
| BIG-Bench Hard | — | 58.2% |
| HellaSwag | — | 80.7% |
| LAMBADA | — | 76.5% |
| PIQA | — | 80.8% |
| WinoGrande | — | 72.8% |

## Math

- GPT-5.5 Pro: 83.8 (#8)
- Llama 2-13B: 28.7 (#226)

| Benchmark | GPT-5.5 Pro | Llama 2-13B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 87.7% | — |
| FrontierMath Tier 4 | 78% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| LMArena Math | — | 1065 |
| FrontierMath (Feb 2025 set) | 52.4% | — |
| FrontierMath Tier 4 (v1) | 39.6% | — |
| GSM8K | — | 36.9% |

## Knowledge

- GPT-5.5 Pro: 64.2 (#17)
- Llama 2-13B: 27.5 (#244)

| Benchmark | GPT-5.5 Pro | Llama 2-13B |
|---|---|---|
| GPQA Diamond | 93.9% | — |
| LMArena Expert | — | 1030 |
| ARC (AI2) Challenge | — | 60.3% |
| BoolQ | — | 82.4% |
| MMLU | — | 55.6% |
| OpenBookQA | — | 57% |
| TriviaQA | — | 79.6% |

## Multimodal

- GPT-5.5 Pro: —
- Llama 2-13B: —

| Benchmark | GPT-5.5 Pro | Llama 2-13B |
|---|---|---|
| ScienceQA | — | 55.8% |

## Multilingual

- GPT-5.5 Pro: —
- Llama 2-13B: 26.7 (#274)

| Benchmark | GPT-5.5 Pro | Llama 2-13B |
|---|---|---|
| LMArena Non-English | — | 1024 |
| LMArena Chinese | — | 1001 |
| LMArena French | — | 1043 |
| LMArena German | — | 1009 |
| LMArena Japanese | — | 894 |
| LMArena Korean | — | 953 |
| LMArena Russian | — | 1055 |
| LMArena Spanish | — | 1086 |

## Instruction Following

- GPT-5.5 Pro: —
- Llama 2-13B: 53.5 (#282)

| Benchmark | GPT-5.5 Pro | Llama 2-13B |
|---|---|---|
| LMArena Instruction Following | — | 1046 |

## Long Context

- GPT-5.5 Pro: —
- Llama 2-13B: 32.3 (#264)

| Benchmark | GPT-5.5 Pro | Llama 2-13B |
|---|---|---|
| LMArena Longer Query | — | 1064 |

## Writing & Preference

- GPT-5.5 Pro: —
- Llama 2-13B: 30.0 (#284)

| Benchmark | GPT-5.5 Pro | Llama 2-13B |
|---|---|---|
| LMArena Text | — | 1085 |
| LMArena Creative Writing | — | 1047 |
| LMArena Multi-Turn | — | 1050 |

## FAQ

### Is GPT-5.5 Pro better than Llama 2-13B?

GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 29.1 on the Noometry Index.

### How many benchmarks do GPT-5.5 Pro and Llama 2-13B share?

3 benchmarks have published results for both models. GPT-5.5 Pro has 14 scored results on Noometry and Llama 2-13B has 32.