88Z AI, 10 July — OpenAI has officially released the GPT-5.6 series, featuring three models: Sol, Terra, and Luna, with API pricing ranging from $1 to $30 per million tokens. The flagship Sol model scored 53.6 in the Agents’ Last Exam benchmark, surpassing Claude Fable 5 by 13.1 points. It also achieved a record-high coding agent index of 80, while significantly reducing both cost and latency.
At a glance
- The GPT-5.6 series includes Sol, Terra, and Luna models, with API prices ranging from $1 to $30 per million tokens.
- The flagship Sol model outperformed Claude Fable 5 in benchmarks, set a new coding index record, and significantly reduced cost and latency.
The update
OpenAI has officially launched its latest GPT-5.6 large language model series, comprising three models tailored for different needs: the flagship Sol, the balanced Terra, and the cost-effective Luna. The API pricing structure spans from $1 to $30 per million tokens to accommodate diverse user requirements. In terms of performance, the flagship Sol model achieved a score of 53.6 in the Agents’ Last Exam benchmark, outperforming Claude Fable 5 by 13.1 points. Furthermore, Sol set a new record with a coding agent index of 80. Notably, this performance improvement comes with significant reductions in both cost and processing time, optimizing both efficiency and economic value.
Sources & editorial note
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