Model comparison
openfront-rl vs Claude 4 Opus
Capability radar, value bars, and side-by-side posture.
openfront-rl
Not scored
value score
Claude 4 Opus
95
value score
openfront-rl ctx
—
Claude 4 Opus ctx
200K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- Claude 4 Opus95
Attribute tape
| Field | openfront-rl | Claude 4 Opus |
|---|---|---|
| Developer | djmango | Anthropic |
| Context | — | 200K |
| Modalities | Text, Code, Image | |
| Openness | — | Proprietary Model |
| Speed | — | — |
| Price | — | $15/1M in · $75/1M out |
| Value score | — | 95 |
| 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. | Anthropic frontier Opus-class model. |