OpenAI's GPT-6.1 Sol and GPT-6 Luna: Which Model Fits Which Workload

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OpenAI revised its model lineup twice in September 2026, prompting confusion among users about which model to choose. The company positions GPT-6.1 Sol as a near-flagship option for complex coding, multi-step agents, and research, priced at about one-fifth of the Astra model's API cost. GPT-6 Luna is aimed at high-volume efficiency tasks such as classification, extraction, and summarization, at roughly one-twentieth of Sol's price. Both models support a 1.05M-token context window and 128K maximum output, with their main difference being the level of judgment each applies. The article's cost illustration suggests a 10,000-task workload would cost about $4.50 on Luna, $90 on Sol, and $450 on Astra, and it recommends choosing models by workload routing rather than by a single preferred model.

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