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
- 131K tokens
- Attention
- unknown
- Position encoding
- unknown
- Training hardware
- H100
- 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 | 79.9 | as of 2026-05-21 | source ↗ |
| GPQA-Diamond | 69.3 | as of 2026-05-21 | source ↗ |
Code
| LiveCodeBench | 42.5 | as of 2026-05-21 | source ↗ |
Available quantizations
None. The weights are not distributed, so there are no public quantizations.
Notable innovations
- · Think mode and Big Brain mode for reasoning
- · DeepSearch over web plus X
- · Trained on Colossus 200K GPU cluster