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
- not verified
- 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
| MMLU-Pro | 87.1 | as of 2026-05-21 | source ↗ |
| GPQA-Diamond | 85.4 | as of 2026-05-21 | source ↗ |
Code
| LiveCodeBench | 84.6 | as of 2026-05-21 | source ↗ |
Available quantizations
None. The weights are not distributed, so there are no public quantizations.
Notable innovations
- · Unified router across fast and reasoning paths
- · Effort and verbosity controls in the API
- · Native multimodal pretraining
Lineage
First OpenAI model to fuse the GPT and o-series tracks via a real-time router.
Derived from
OpenAI o3 2025-04-16Derivatives