GPT-5.6 Goes Live with Sol, Faces Backlash Over Rapid Quota Drain

During Week 28, OpenAI made the GPT-5.6 series generally available, headlined by the Sol version, alongside Terra and Luna. On CNBC, Sam Altman promoted a 54% improvement in token efficiency for agentic coding tasks, aiming for it to be the most reliable partner with the best ROI. However, within days of the launch, severe backlash erupted over rapid quota consumption, directly contradicting the official efficiency narrative.

Quota Drain and User Complaints

Multiple users reported that GPT-5.6 (particularly Sol) burns through quotas abnormally fast. @kimmonismus noted that even after downgrading from high to medium without fast mode, the quota was exhausted in about 5 hours, depleting three resets, and concluded that OpenAI's biggest bottleneck is efficiency, not features. @rubenhassid highlighted users who couldn't complete a single non-programming knowledge task due to limits. @RFOK couldn't finish a single planned run on a Plus subscription even after two limit resets, feeling Sol is too expensive to justify upgrading to Pro/x5/x20. A referenced heavy user claimed to have consumed over $200,000 in tokens for gpt-5.6-sol; while praising the model, they noted the $200 Codex Pro quota is too easily maxed out.

Evaluation Benchmarks

The launch utilized several recent open benchmarks supported by Open Benchmarks Grants, including Agent's Last Exam, Terminal-Bench 2.1, and OSWorld 2.0.

2026-07-11 ~ 2026-07-13 · 7 related posts

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