Model comparison
lehrm-no-act vs Gemini 2.5 Pro
Capability radar, value bars, and side-by-side posture.
lehrm-no-act
Not scored
value score
Gemini 2.5 Pro
93
value score
lehrm-no-act ctx
—
Gemini 2.5 Pro ctx
1.0M
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- Gemini 2.5 Pro93
Attribute tape
| Field | lehrm-no-act | Gemini 2.5 Pro |
|---|---|---|
| Developer | Unknown | Google DeepMind |
| Context | — | 1.0M |
| Modalities | Text, Code, Image, Audio, Video | |
| Openness | — | Proprietary Model |
| Speed | — | — |
| Price | — | $1.25/1M in · $10/1M out |
| Value score | — | 93 |
| Summary | An experimental open-weight text-generation model checkpoint by the 'codewithdark' Hugging Face account, belonging to a latent recurrent-depth LM family that iteratively refines an internal latent state rather than producing explicit chain-of-thought outputs. The '-no-act' suffix suggests an ablation variant (likely removing an activation function) within this research architecture. | Google frontier multimodal model. |