Model comparison
openfront-rl vs Gemini 2.5 Pro
Capability radar, value bars, and side-by-side posture.
openfront-rl
Not scored
value score
Gemini 2.5 Pro
93
value score
openfront-rl 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 | openfront-rl | Gemini 2.5 Pro |
|---|---|---|
| Developer | djmango | 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 | A reinforcement learning model and training infrastructure for building AI agents that play OpenFront.io, a browser-based strategy game. The project focuses on spatial map encoding, human replay trajectories, and behavior-cloning/RL workflows specific to the OpenFront game environment. | Google frontier multimodal model. |