Unverified50% confidenceBenchmarkExact time
After the researchers added a sentence to four models requiring them to implement "ensuring security while meeting functional requirements," GPT-5.6-Sol's functional + security pass rate rose from 24.7% to 46.2%, GLM-5.3 from 21.3% to 38.2%, Qwen3.8-Max from 22.0% to 37.6%, and DeepSeek-V4-Pro from 18.0% to 19.1%.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/14/2026
First Seen
Valid until: 1/12/2027
Sources
Related Entities
Related Claims
UnverifiedOn the HLE benchmark, COMED improved GPT-5.5's performance from 23.1% to 28.1%.75% similarUnverifiedAt ultra-high reasoning intensity, GPT-6.1 Sol's factual error rate is 4.1%, lower than the previous generation's 4.5% and close to Astra's 4.0%.73% similarUnverifiedIn Automation Bench at medium reasoning intensity, GPT-6.1 Sol scored 35.4%, which is 2.2 percentage points higher than Opus 5.5 at one-third of the cost.73% similarVerifiedOn the DeepSuite benchmark, Grok 4.7 scored 71%, GPT 5.6 Sol scored 72.7%, Fable 5.1 scored 70%, and Astra Max topped the leaderboard at 74.1%.72% similar
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