@OpenAI: After deployment, we applied GPT-5.6 Sol to advance the frontier of efficiency by making itself more efficient to run. …

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Summary

OpenAI deployed GPT-5.6 Sol, achieving 20% lower serving costs and 15%+ better token-generation efficiency through improved GPU kernels and speculative decoding.

After deployment, we applied GPT-5.6 Sol to advance the frontier of efficiency by making itself more efficient to run. The results: - 20% lower serving costs from production GPU kernel improvements. - 15%+ better token-generation efficiency from improved speculative decoding.
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After deployment, we applied GPT-5.6 Sol to advance the frontier of efficiency by making itself more efficient to run.

The results:

  • 20% lower serving costs from production GPU kernel improvements.
  • 15%+ better token-generation efficiency from improved speculative decoding.

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OpenAI unveils GPT-5.6 Sol, a flagship model for long-running autonomous work across applications and enterprise data, featuring Ultra mode with sub-agents for faster, stronger results. The model was used internally to help train Luna and demonstrates significant cost and performance improvements over previous versions.