Model comparison
GPT-5.5 Pro vs Llama 2-34B
GPT-5.5 Pro has enough public results to be ranked (#8); Llama 2-34B does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
MetaSummary
- They share 1 benchmark with published results for both.
Side by side
| GPT-5.5 Pro | Llama 2-34B | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 64.3 | — |
| Released | 2026-04-23 | 2023-07-18 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $30 | — |
| Output $ / M tokens | $180 | — |
| Results tracked | 14 | 10 |
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Category by category
Reasoning Not comparable
GPT-5.5 Pro: 73.3 (#10), Llama 2-34B: —
| Benchmark | GPT-5.5 Pro | Llama 2-34B |
|---|---|---|
| Epoch Capabilities Index | 162.07 | 105.2 |
| ARC-AGI-2 | 84.6% | — |
| SimpleBench | 76.9% | — |
| ARC-AGI-1 | 96.5% | — |
| CritPt | 30.6% | — |
| Chess Puzzles | 64% | — |
| DTBench | 96% | — |
| LMCA | 53.9% | — |
| BIG-Bench Hard | — | 44.1% |
| PIQA | — | 81.9% |
| WinoGrande | — | 76.7% |
Math Not comparable
GPT-5.5 Pro: 84.0 (#10), Llama 2-34B: —
| Benchmark | GPT-5.5 Pro | Llama 2-34B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 87.7% | — |
| FrontierMath Tier 4 | 78% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| FrontierMath (Feb 2025 set) | 52.4% | — |
| FrontierMath Tier 4 (v1) | 39.6% | — |
| GSM8K | — | 42.2% |
Knowledge Not comparable
GPT-5.5 Pro: 64.1 (#19), Llama 2-34B: —
| Benchmark | GPT-5.5 Pro | Llama 2-34B |
|---|---|---|
| GPQA Diamond | 93.9% | — |
| ARC (AI2) Challenge | — | 54.5% |
| BoolQ | — | 83.7% |
| MMLU | — | 62.6% |
| OpenBookQA | — | 58.2% |
| TriviaQA | — | 84.6% |
Frequently asked questions
Is GPT-5.5 Pro better than Llama 2-34B?
GPT-5.5 Pro has enough public results to be ranked (#8); Llama 2-34B does not yet, so treat this comparison as directional.
How many benchmarks do GPT-5.5 Pro and Llama 2-34B share?
1 benchmark has published results for both models. GPT-5.5 Pro has 14 scored results on Noometry and Llama 2-34B has 10.