Nate Berkopec Highlights GPT-5.6 Sol for Coding Agents
Nate Berkopec shared charts comparing model performance on coding agent tasks.
Engineer Nate Berkopec posted that charts from @ArtificialAnlys show GPT-5.6 Sol (med) leading models for interactive coding agent sessions. He stated Sol(m) runs 5x faster per task than Fable while costing 10x less. Berkopec added that Sol(m) completes tasks faster than Flash 3.7 even with roughly 6x lower tokens per second. The post links to two charts as evidence for these speed and cost comparisons. No independent confirmation of the metrics appears in the packet.
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Nate Berkopec Highlights GPT-5.6 Sol for Coding Agents
Nate Berkopec shared charts comparing model performance on coding agent tasks.
Engineer Nate Berkopec posted that charts from @ArtificialAnlys show GPT-5.6 Sol (med) leading models for interactive coding agent sessions. He stated Sol(m) runs 5x faster per task than Fable while costing 10x less. Berkopec added that Sol(m) completes tasks faster than Flash 3.7 even with roughly 6x lower tokens per second. The post links to two charts as evidence for these speed and cost comparisons. No independent confirmation of the metrics appears in the packet.
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Nate Berkopec@nateberkopecThese two charts from @ArtificialAnlys explain why GPT-5.6 Sol (med) is the king of all models for interactive coding agent sessions right now. Sol(m) is 5x faster per task than Fable, 10x cheaper. It's even faster per task than Flash 3.7, despite having ~6x less tok/sec.
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