What the captured data shows
Claude Haiku 5.5 Low and GPT-6 Astra Max represent different reasoning settings as well as different model families. Haiku has much lower listed token rates and a shorter reported first-token time in the captured data. Astra has the higher intelligence index. Those measurements should be read with their settings attached.
Which model fits your workflow
For a quick interactive task, measure how soon each model delivers an answer that a person can use. For a difficult task, inspect the result before rewarding speed. A comparison that hides the Low and Max settings would make it harder to reproduce either outcome.
Decision takeaway
This is a cost and measured-latency tradeoff against a higher aggregate index, with reasoning settings that must remain explicit.
These figures come from Franklin’s Artificial Analysis-sourced model records captured on 2026-10-11. Read the individual model entries for the data snapshot: Claude Haiku 5.5 (Low) and GPT-6 Astra (Max). Missing measurements remain unavailable; this page does not report a new hands-on test.
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