AI Model Comparison

Claude Haiku 5.5 (Low) vs GPT-6 Astra (Max)

Compare Claude Haiku 5.5 (Low) vs GPT-6 Astra (Max) with benchmark results, speed, pricing, and practical workflow guidance.

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.

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.

Benchmark table

Side-by-side scores, speed, and pricing for the selected models.

Metric Anthropic Claude Haiku 5.5 (Low) OpenAI GPT-6 Astra (Max)
Index Scores
Intelligence Index 29.5 52.7
Coding Index- 76.9
Math Index--
Benchmark Scores

Verdict

This is a cost and measured-latency tradeoff against a higher aggregate index, with reasoning settings that must remain explicit.

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