Model comparison
openfront-rl vs o3
Capability radar, value bars, and side-by-side posture.
openfront-rl
Not scored
value score
o3
93
value score
openfront-rl ctx
—
o3 ctx
200K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- o393
Attribute tape
| Field | openfront-rl | o3 |
|---|---|---|
| Developer | djmango | OpenAI |
| Context | — | 200K |
| Modalities | Text, Code | |
| Openness | — | Proprietary Model |
| Speed | — | — |
| Price | — | $10/1M in · $40/1M 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. | OpenAI reasoning model focused on hard problems. |