OpenAI's GPT-6 Astra on ARC-AGI-3 Scored 99.95% with Provider Adapter Harness

OpenAI's GPT-6 Astra achieved a 99.95% score on the ARC-AGI-3 Semi-Private benchmark using the Provider Adapter harness at high reasoning, with a cost of $18,817, according to results published by OpenAI on September 2, 2026. In contrast, the model scored 62.7% on the same benchmark using the Standard harness at max reasoning for $26,098, and its verified scores on ARC-AGI-1 and ARC-AGI-2 reached 98.5% and 95.0% respectively.

GPT-6 Astra OpenAI·Sep 2, 2026·12 harness configurations GPT-6 Astra's best observed ARC-AGI-3 Semi-Private result with the Standard harnessStandard harness enables a model to carry forward notes it chooses to keep with it throughout the environment. was 62.7% at max reasoning for $26,098. With the Provider Adapter harnessThe Provider Adapter harness preserves opaque reasoning state between requests and uses compaction for longer conversations, allowing the model to reuse prior work., its best observed result was 99.9% at high reasoning for $18,817. Read more in our blog post, OpenAI's GPT-6 Astra on ARC-AGI-3 /blog/astra . ARC-AGI 3 leaderboard GPT-6 AstraGPT-6 Astra - Provider Adapter Verified scores | Variant | ARC-AGI-1 | ARC-AGI-2 | ARC-AGI-3 Standard harness | ARC-AGI-3 Provider Adapter harness | |---|---|---|---|---| | Max | 97.5% | 95.0% | 62.71% | 98.55% | | XHigh | 98.5% | 93.3% | 59.34% | 98.44% | | High | 98.5% | 92.1% | 54.82% | 99.95% | | Medium | 97.5% | 92.1% | 38.59% | 98.44% | | Low | 96.5% | 85.4% | 17.45% | 98.03% | | None | 86.0% | 59.6% | 35.18% | 96.72% | Tasks & environments Pass/fail per reasoning level across each benchmark. ARC-AGI-3 Public Demo - Standard harnessStandard harness enables a model to carry forward notes it chooses to keep with it throughout the environment. 25 environments ARC-AGI-3 Public Demo - Provider Adapter harnessThe Provider Adapter harness preserves opaque reasoning state between requests and uses compaction for longer conversations, allowing the model to reuse prior work. 25 environments ARC-AGI-2 Public Eval 120 tasks | Task | Max | XHigh | High | Medium | Low | None | |---|---|---|---|---|---|---| | | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | | | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | | | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | | | ✓ | ✓ | ✓ | ✓ | ✓ | ✗ | | | ✓ | ✓ | ✓ | ✓ | ✓ | ✗ | | | ✓ | ✓ | ✓ | ✓ | ✓ | ✗ | | | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | | | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | | | ✓ | ✓ | ✓ | ✓ | ✓ | ✗ | | | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | | | ✓ | ✓ | ✓ | ✓ | ✓ | ✗ | | | ✓ | ✓ | ✓ | ✓ | ✓ | ✗ | | | ✓ | ✓ | ✓ | ✓ | ✓ | ✗ | | | ✓ | ✓ | ✓ | ✓ | ✓ | ✗ | | | ✓ | ✓ | ✓ | ✓ | ✓ | ✗ | | | ✓ | ✓ | ✓ | ✓ | ✓ | ✗ | | | ✓ | ✓ | ✓ | ✓ | ✓ | ✗ | | | ✓ | ✓ | ✓ 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