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Claude Opus 4.8

Claude Opus 4.8 model image

Claude Opus 4.8

credit: Anthropic

frontier API · Claude Code 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
2 builds
Robot-Filled Maze Shooter
2 builds
Ribbit Rush
0 builds
Builds
4 recorded outputs
Method
2 xhigh subagents
Runtime
Claude Code 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 2 versions

froggai_claude_opus · Road Hopper · FroggAI control (gold-standard baseline)fullscreen ↗ · compare
road_hopper_claude_opus_b70_control · Road Hopper · FROGGAI B70 controlfullscreen ↗ · compare
Road Hopper FroggAI control (gold-standard baseline) Claude Opus 4.8 froggai_claude_opusfullscreen ↗
Road Hopper FROGGAI B70 control Claude Opus 4.8 road_hopper_claude_opus_b70_controlfullscreen ↗

Robot-Filled Maze Shooter 2 versions

maze_claude_opus · Robot-Filled Maze Shooter · MAZERUNNER control (gold-standard baseline)fullscreen ↗ · compare
maze_claude_opus_b70_control · Robot-Filled Maze Shooter · MAZERUNNER B70 controlfullscreen ↗ · compare
Robot-Filled Maze Shooter MAZERUNNER control (gold-standard baseline) Claude Opus 4.8 maze_claude_opusfullscreen ↗
Robot-Filled Maze Shooter MAZERUNNER B70 control Claude Opus 4.8 maze_claude_opus_b70_controlfullscreen ↗
UNDER RAPID CONSTRUCTION - WILL CHANGE
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.