GPT-6.1 Sol
An upgrade to GPT-6 Sol that nearly matches GPT-6 Astra on agentic coding, computer use, and professional work at one-fifth of Astra's token prices
GPT-6.1 Sol
OpenAI • September 2026
Training Data
Not disclosed
GPT-6.1 Sol
September 2026
Parameters
Not disclosed
Training Method
Reinforcement Learning with Chain-of-Thought Reasoning
Context Window
1,050,000 tokens
Knowledge Cutoff
April 30, 2026
Key Features
1M Token Context • Near-Astra at 1/5 the Price • $0.10 Cached Input • Reasoning Effort: Low to Max
Capabilities
Coding: Maximum (matches GPT-6 Astra on DeepSWE v1.1)
Professional Work: Outstanding (beats Opus 5.5 on GDP.pdf and AutomationBench)
Computer Use: Outstanding (+7 pts over GPT-6 Sol on OSWorld 2.0 offline)
What's New in This Version
Matches GPT-6 Astra on DeepSWE v1.1 at ~1/5 the cost and beats GPT-6 Sol's best by 6.4 points; tops Opus 5.5 on AutomationBench by 2.2 points at ~1/3 the cost; comes within 2.1 points of Astra on OSWorld 2.0 offline at ~1/7 the cost per task; cuts factual errors ~32% vs GPT-6 Sol at low effort; $2/$10 per 1M tokens, cached input $0.10 (half of GPT-6 Sol's)
An upgrade to GPT-6 Sol that nearly matches GPT-6 Astra on agentic coding, computer use, and professional work at one-fifth of Astra's token prices
What's New in This Version
Matches GPT-6 Astra on DeepSWE v1.1 at ~1/5 the cost and beats GPT-6 Sol's best by 6.4 points; tops Opus 5.5 on AutomationBench by 2.2 points at ~1/3 the cost; comes within 2.1 points of Astra on OSWorld 2.0 offline at ~1/7 the cost per task; cuts factual errors ~32% vs GPT-6 Sol at low effort; $2/$10 per 1M tokens, cached input $0.10 (half of GPT-6 Sol's)
Technical Specifications
Key Features
Capabilities
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