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ARC Prize reports GPT-6 Astra scoring 99.9% on ARC-AGI-3 Semi-Private with a Provider Adapter harness, versus 62.7% under the standard harness. Astra also used fewer actions than median human participants on 96% of levels, marking a major interactive-reasoning milestone without proving AGI.
Armature analyzed 16,893 coding-agent sessions across 75 repositories, 1,163 task variations, and Claude Code, Codex, and Cursor to see which third-party services they actually install. Only 42% of agent decisions matched, with programming language and repository context often changing the winner.
A hands-on comparison found Qwen3.8-27B scoring 98.7 across 21 tests while running a 64K context fully on a 24GB GPU. The dense open-weight model targets coding, research, professional work, and long-horizon agents.