OpenAI's newly released flagship model, GPT-5.6 Sol, is at the center of a dispute over whether the company quietly reduced its performance in the days after reviewers and benchmarks praised it as one of the best models available.
July 9, 2026 · OpenAI Flagship Release
Did GPT-5.6 Sol get quietly "nerfed" after the reviews came in?
Reviewers benchmarked Sol at maximum reasoning and called it OpenAI's best model. Developers say that roughly four days later, its context window and reasoning effort were dialed back — without a public announcement.
The disputed rollback: context window
Critics say the working context was cut back after launch — meaning more compaction (auto-summarizing) and more forgotten detail in long sessions. Columns scaled to token count (in thousands).
372k
reviewed config
tokens at benchmark
272k
rolled back to
tokens users may run
≈ 100k fewer tokens of working memory in the disputed configuration
$5 / $30
per M input / output tokens (API)
~750
tokens/sec inference on Cerebras
~1 hr
how fast a "5-hour" allowance ran out, per users
Benchmark: Agents' Last Exam
OpenAI reported Sol ~13.1 points ahead — but on the reviewed configuration
The praise
Stuck with harder, deeper ideas
Cleaner reasoning with less code
Called OpenAI's most capable release at preview
The complaints
Reduced context → more compaction, forgotten detail
Rolled-back "juice" sapped depth of high-reasoning modes
Terra & Luna left with higher thinking budgets than the flagship
What remains unverified
The claim of a deliberate, undisclosed downgrade rests on user reports, not a confirmed company statement. Post-launch tuning of reasoning effort and context is routine cost-and-reliability work — whether it's a real capability cut is exactly what's contested.
Takeaway for developers: when configuration can shift silently after launch, static benchmark snapshots may not match the product you run. Re-test Sol's deepest modes against your own workloads.
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