Meta, released 2026-08-10. Dense decoder, 30B parameters, 128K context. Attention: Gated GQA with scaleless QK-Norm, local-only RoPE, global NoPE, and 3:1 sliding-window/global attention.
Gemma 4 (31B)
Dense Gemma 4 scales the family to a 256K-context multimodal checkpoint without changing the core local-global recipe much.
Key detail
Carries Gemma's unusual pre/post-norm stack into a larger 31B dense model with 256K context.Parameters
31B
Context
256K
KV / token
840 KiB
Fact sheet
- Scale
- 30.7B parameters
- Context window
- 256,000 tokens
- Decoder type
- Dense
- Attention
- GQA with QK-Norm, unified K/V on global layers, p-RoPE on global layers, and 5:1 sliding-window/global attention
- Layer mix
- 50 sliding-window + 10 global
- KV cache / token (bf16)
- 840 KiB · Very high
- License
- Apache License 2.0
- Released
Efficiency
Parameters active per token
100%
Dense: every weight runs for every token.
AA Intelligence Index v4.3.2
Source13.9
- Scientific
- 5.9
Architecture concepts
Sources & resources
Use the ← and → keys to step through releases.
Similar architectures


Ai2, released 2025-11-20. Dense decoder, 32B parameters, 64K context. Attention: GQA with QK-Norm and 3:1 sliding-window/global attention.

Google, released 2025-03-11. Dense decoder, 27B parameters, 128K context. Attention: GQA with QK-Norm and 5:1 sliding-window/global attention.

Google, released 2026-06-03. Dense decoder, 12B parameters, 128K context. Attention: GQA with QK-Norm, unified K/V on global layers, p-RoPE on global layers, and 5:1 sliding-window/global attention.