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GPT-5.6 Sol benchmark results

11 results on 7 benchmarks from 4 sources.

Closed Released: Jul 9, 2026 Updated Oct 22, 2026 API prices & specs →

Also listed as: gpt-5.6-sol-xhigh · gpt-5.6-sol_none · GPT-5.6 Sol (none) · gpt-5.6-sol_low · GPT-5.6 Sol (low) · gpt-5.6-sol_max · GPT-5.6 Sol (max) · GPT-5.6-sol · GPT-5.6 Sol (XHigh) · GPT-5.6 Sol (Max)

All benchmark results

Benchmarks Score Rank Setting Source type Date
LMArena Text 1485 20 Overall, style control on; 38490 votes; 95% CI 1481–1489“gpt-5.6-sol-xhigh” Official leaderboard Oct 8, 2026
LMArena Vision 1285 18 Overall, style control on; 10421 votes; 95% CI 1277–1292“gpt-5.6-sol-xhigh” Official leaderboard Oct 2, 2026
GPQA Diamond 93.5% 14 Epoch AI run, accuracy; effort: max Independent run Jul 9, 2026
GPQA Diamond 89.9% 42 Epoch AI run, accuracy; effort: low Independent run Aug 7, 2026
GPQA Diamond 82.8% 101 Epoch AI run, accuracy; effort: none Independent run Aug 7, 2026
AIME (OTIS Mock AIME 2024–2025) 100.0% 1 Epoch AI run, OTIS Mock AIME 2024–2025; effort: max Independent run Jul 9, 2026
AIME (OTIS Mock AIME 2024–2025) 95.6% 43 Epoch AI run, OTIS Mock AIME 2024–2025; effort: low Independent run Aug 7, 2026
AIME (OTIS Mock AIME 2024–2025) 68.9% 131 Epoch AI run, OTIS Mock AIME 2024–2025; effort: none Independent run Aug 7, 2026
ARC-AGI-2 92.5% 5 Semi-private set; $1.44/task; CoT“GPT-5.6 Sol (Max)” Official leaderboard Oct 22, 2026
OSWorld 2.0 27.3% 4 Binary accuracy; 500 steps; reasoning: max; effort: max Official leaderboard via Epoch AI Jul 9, 2026
τ²-bench 46.9% 4 banking_knowledge domain, pass^1; effort: xhigh; submitted by Sierra; v1.0.1“GPT-5.6-sol” Official leaderboard Jul 22, 2026
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FAQ

Where do these GPT-5.6 Sol scores come from?

From Epoch AI Benchmarking Hub, ARC Prize leaderboard, LMArena leaderboard dataset, and τ²-bench leaderboard submissions. Each row links to the original leaderboard, dataset or report, and vendor-reported numbers are labelled.

Data updated: Benchmarks(UTC+8)