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GPT-6.1 Sol replaces GPT-6 Sol after just 7 days, with near-Astra intelligence
GPT-6.1 Sol replaces GPT-6 Sol after just 7 days. It scores 1 point below GPT-6 Astra in the Intelligence Index at less than one quarter of the Cost per Task.
Pricing matches GPT-6 Sol at $2/$10 per million input/output tokens, except that the cache read discount rises from 90% to 95%. GPT-6.1 Sol’s overall blended price for agentic workloads is therefore slightly lower than GPT-6 Sol. This represents an additional price cut, following GPT-6 Sol’s original 50% discount from GPT-5.6 Sol.
➤ Achieves near-Astra Intelligence: GPT-6.1 Sol gains 4 points in the Intelligence Index vs GPT-6 Sol, and 5 points vs GPT-5.6 Sol - landing 1 point below GPT-6 Astra. It makes significant gains in agentic knowledge work, improving 4 points and 5 points in AA-Briefcase v1.1 and GDPval-AA v2.1 respectively. Other notable gains include a 12 point jump in Terminal-Bench 4.0, a 5 point jump in Humanity’s Last Exam, a 6 point jump in GDP.pdf, and an 8 point jump in AA-Omniscience Accuracy coupled with hallucination rate falling from 60% to 54%.
➤ Pushes cost efficiency frontier: At max effort, GPT-6.1 Sol costs less than a quarter of GPT-6 Astra per Intelligence Index task ($0.72 vs $3.26). It also costs 31% less per task than GPT-6 Sol ($1.05) and 64% less than GPT-5.6 Sol ($1.99). All effort levels of GPT-6.1 Sol push out the cost efficiency Pareto frontier: for a given level of intelligence, there is no cheaper model.
➤ Pushes token efficiency frontier, but uses slightly more output tokens than GPT-6 Sol: GPT-6.1 Sol uses ~10-30% more output tokens than GPT-6 Sol across effort levels. However, due to the increase in Intelligence Index score, its low and medium effort levels are Pareto optimal for token efficiency.
➤ Gains in Coding Agent Index: GPT-6.1 Sol gains 3 points on GPT-6 Sol at max effort in the Artificial Analysis Coding Agent Index, and sits 2 points below GPT-6 Astra.
GPT-6.1 Sol dominates the lower-price range of the Pareto frontier for Artificial Analysis Coding Agent Index vs Cost per Task. GPT-6.1 Sol (xhigh) scores 1 point above GPT-6 Astra for less than 15% of the Cost per Task. This represents a 6 point gain from GPT-6 Sol (max). We observed the xhigh effort setting to outperform the max effort setting by 3 points.
GPT-6.1 Sol uses 10-30% more output tokens than GPT-6 Sol across effort settings in the Intelligence Index. However, due to increases in intelligence, its low and medium effort settings are Pareto optimal for token efficiency.
At max effort, GPT-6.1 Sol jumps 8 points in AA-Omniscience Accuracy coupled with a 6 point reduction in hallucination rate.
GPT-6.1 Sol improves by ~80 Elo in AA-Briefcase. This is driven by increases in its rubric score and Analytical Quality Elo, while Presentation Elo falls slightly.