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
| MMLU-Pro | 88.2 | as of 2026-05-21 | source ↗ |
| GPQA-Diamond | 90.4 | as of 2025-12-17 | source ↗ |
Math
| AIME 2025 | 55.7 | as of 2026-05-21 | source ↗ |
Available quantizations
None. The weights are not distributed, so there are no public quantizations.
Notable innovations
- · Pro-grade reasoning at Flash latency
- · 30 percent token reduction on average tasks
- · Day-one default in Gemini app and Search AI Mode
Lineage
Speed-optimized Gemini 3 sibling at one-tenth Pro pricing.
Derived from
Gemini 3 Pro 2025-11-18