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GPT-5.5 xhigh

GPT-5.5 xhigh model image

GPT-5.5 xhigh

credit: OpenAI

frontier API · Codex subagents · 2 xhigh subagents split across the two game prompts.

model dossier

Model sheet

Playable artifacts and benchmark context for this model page.

Road Hopper
1 builds
Robot-Filled Maze Shooter
1 builds
Ribbit Rush
0 builds
Builds
2 recorded outputs
Method
2 xhigh subagents
Runtime
Codex subagents
Quant
frontier API
Bench
No local throughput sweep recorded

Generated game outputs

Versions are listed first for selection. Embedded outputs remain below for direct review.

Road Hopper 1 versions

froggai_gpt_5_5_xhigh · Road Hopper · FroggAI xhigh evalfullscreen ↗ · compare
Road Hopper FroggAI xhigh eval GPT-5.5 xhigh froggai_gpt_5_5_xhighfullscreen ↗

Robot-Filled Maze Shooter 1 versions

maze_gpt_5_5_xhigh · Robot-Filled Maze Shooter · Maze xhigh evalfullscreen ↗ · compare
Robot-Filled Maze Shooter Maze xhigh eval GPT-5.5 xhigh maze_gpt_5_5_xhighfullscreen ↗
UNDER RAPID CONSTRUCTION - WILL CHANGE
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why

Local agents need public test loops

Working on local agents matters because these tests are the first step toward an R&D base-model trust score: a practical signal for choosing which architectures and models deserve deeper research and development.

Agentic Arcade is a playable hello world for that work. Anyone can open the games, review the artifacts, and compare model behavior. The mission is maximal distribution of intelligence to all people.