GPT-6 Astra Costs 2.5× More Than GPT-5.6 Sol, but the Gains Are Agentic, Not Reasoning
DataLearnerAI · reddit · 2026-09-06
A benchmark and pricing comparison of GPT-6 Astra vs GPT-5.6 Sol finds Astra's 2.5× premium (input $10 vs $4, output $50 vs $20 per 1M tokens) buys little in classic reasoning—GPQA Diamond 96.0 vs 94.6—but large agentic gains: MRCR 512K–1M 96.3 vs 73.8, Terminal-Bench 4.0 57.9 vs 37.3, SRE-Bench 88.0 vs 55.9. With both models at 1.05M context, Astra's jump is long-context utilization and agent reliability. In coding agents it scores slightly higher at slightly lower cost per task ($4.72 vs $5.00) but takes 2.6× longer (26.8 vs 10.2 min), suggesting agentic capability is becoming the meaningful generational metric.
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