Architecture
data/models.yaml. Every label is auditable
against the model's sources.
Specs
- Architecture
- unknown
- Total params
- not disclosed
- Active params
- not disclosed
- Context window
- 1.0M tokens
- Attention
- unknown
- Position encoding
- unknown
- Post-training
- rlhf
- OSI-approved
- no
- Data released
- no
- Training code
- not released
Benchmarks
Each score carries the date it was published; we never infer or interpolate missing scores.
General reasoning
| GPQA-Diamond | 93.5 | as of 2026-05-21 | source ↗ |
Available quantizations
None. The weights are not distributed, so there are no public quantizations.
Notable innovations
- · 1M context window in the API
- · 60 percent hallucination-rate reduction reported by OpenAI
- · GPT-5.5 Pro tier alongside the main model
Lineage
1M-token context and the SWE-Bench Verified jump are the headline changes.
Derived from
GPT-5.1 2025-11-12