GPT-6.1 Sol: High-Value Agentic Coding Model

Features

• ✓ Near-Astra intelligence at one-fifth the price: OpenAI says GPT-6.1 Sol is 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, with cached input at $0.10 per million tokens, 95% less than standard input and 50% less than GPT-6 Sol's cached input
• ✓ Coding: OpenAI says that 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 and eclipses GPT-6 Sol's best score by 6.4 percentage points at a lower reasoning effort and cost
• ✓ Professional work: OpenAI says that on GDP.pdf, which measures how accurately models answer professional questions using complex PDFs, GPT-6.1 Sol scores higher than Opus 5.5 with fallbacks at less than half the cost per task, and on AutomationBench at medium reasoning effort scores 2.2 points above Opus 5.5 at roughly a third of the cost and 4.8 points above GPT-6 Sol at the same setting
• ✓ Computer use and science: OpenAI says that on OSWorld 2.0's offline set GPT-6.1 Sol outperforms GPT-6 Sol by seven points at maximum reasoning effort at less than half the cost and comes within 2.1 points of Astra at roughly one-seventh the cost per task, and on Terminal-Bench Science 0.1 it more than doubles GPT-6 Sol's score at $5.47 per task on average versus $23.21 for Opus 5.5 and $23.80 for Astra
• ✓ Factuality and safety: OpenAI says GPT-6.1 Sol improves factual accuracy on difficult prompts, cutting the share of responses containing a factual error from 11.4% to 7.7% (about a 32% reduction) at low reasoning effort, and its alignment evaluations show large improvements over GPT-6 Sol and bring it closer to Astra, failing to disclose a broken search tool in 2.1% of cases (4.9% for GPT-6 Sol, 1.5% for Astra) with no observed attempts to bypass an automated safety reviewer

How to Use

1. In ChatGPT Work or Codex, Plus, Pro, Business, Enterprise and Edu users can use GPT-6.1 Sol directly
2. Developers can call it in the OpenAI API as gpt-6.1-sol at standard prices of $2 per million input tokens, $0.10 per million cached input tokens and $10 per million output tokens
3. For cost-sensitive coding or agent workflows, reuse context to hit the $0.10 cached input price and pick a reasoning effort that matches task complexity
4. For speed-critical work, watch for the upcoming GPT-6.1 Sol Ultrafast, which OpenAI says delivers up to 8x faster token generation in Codex

FAQ

Official Source