Introducing GPT-6.1 Sol
Near-Astra intelligence for a fifth of the price
Spots 
We’re introducing GPT‑6.1 Sol, an upgrade to GPT‑6
We’re introducing GPT‑6.1 Sol, an upgrade to GPT‑6 Sol that nearly matches GPT‑6 Astra’s intelligence on agentic coding, computer use, and professional work at one-fifth of Astra’s standard input and output token prices. Cached input costs just $0.10 per million tokens—95% less than standard input pricing and 50% less than GPT‑6 Sol’s cached input pricing—giving developers more room to build and run capable agents that reuse context across requests. A more capable Sol across tasks
GPT‑6.1 Sol offers a new balance of capability
GPT‑6.1 Sol offers a new balance of capability and cost for important everyday work. It delivers substantial improvements over GPT‑6 Sol across complex professional tasks, from writing and debugging code to understanding documents and executing multi-step business workflows. On several of these evaluations, it approaches GPT‑6 Astra’s performance at substantially lower cost.
On DeepSWE v1.1, which evaluates complex software-engineering tasks
On DeepSWE v1.1, which evaluates complex software-engineering tasks in real codebases, GPT‑6.1 Sol matches GPT‑6 Astra at roughly one-fifth of the cost, while eclipsing GPT‑6 Sol’s best score by 6.4 percentage points at a lower reasoning effort and cost.
On GDP.pdf, which measures how accurately models answer
On GDP.pdf, which measures how accurately models answer professional questions using complex PDF documents, including tables, charts, diagrams, and fine-print details, GPT‑6.1 Sol scores higher than Opus 5.5 with fallbacks at less than half the cost per task across the tested reasoning settings. It also approaches GPT‑6 Astra’s state-of-the-art performance at roughly one-fifth the cost per task.
On AutomationBench, which measures whether agents correctly complete
On AutomationBench, which measures whether agents correctly complete multi-step business workflows, GPT‑6.1 Sol scores 2.2 percentage points above Opus 5.5 at medium reasoning effort, at roughly a third of the cost. That score is also up 4.8 percentage points from GPT‑6 Sol at the same setting.
GPT‑6.1 Sol also makes substantial progress on tasks
GPT‑6.1 Sol also makes substantial progress on tasks that require interacting with computer applications. On OSWorld 2.0’s offline set, which evaluates agents on demanding computer-use workflows, GPT‑6.1 Sol outperforms GPT‑6 Sol by seven percentage points at maximum reasoning effort at less than half the cost. It comes within 2.1 percentage points of Astra’s score at maximum reasoning effort at roughly one-seventh the cost per task.
On Terminal-Bench Science 0.1, which evaluates scientific workflows
On Terminal-Bench Science 0.1, which evaluates scientific workflows including data analysis, simulation, and theorem proving, GPT‑6.1 Sol more than doubles GPT‑6 Sol’s score at maximum reasoning effort at less than half the cost per task. At maximum effort, GPT‑6.1 Sol costs $5.47 per task on average, compared with $23.21 for Opus 5.5 and $23.80 for Astra, delivering substantial scientific capability at over 75% lower cost than either model.
GPT‑6 Astra still achieves the highest score among
GPT‑6 Astra still achieves the highest score among the models tested at 68.1%, and should be used for the most difficult scientific research tasks.
GPT‑6.1 Sol also improves factual accuracy on difficult
GPT‑6.1 Sol also improves factual accuracy on difficult prompts. Its largest factuality improvement over GPT‑6 Sol comes at low reasoning effort, where it reduces the share of responses containing a factual error from 11.4% to 7.7%—a reduction of approximately 32%. Across the tested reasoning settings, its error rate remains within 1.9 percentage points of GPT‑6 Astra’s, at less than one-fifth the cost per task.
News
Introducing GPT-6.1 Sol
Near-Astra intelligence for a fifth of the price
@spots
Source: Hacker News