GPT-6 Astra vs Claude Fable 5.1: Benchmarks So Far Show a Toss-Up at $10/$50
DataLearnerAI · reddit · 2026-09-04
The author aggregated public benchmark results for GPT-6 Astra and Claude Fable 5.1 and finds a mixed picture with no clear overall winner yet. GPT-6 Astra leads on several published coding, science, and agent benchmarks including Terminal-Bench and DeepSWE, while Fable 5.1 scores higher on Artificial Analysis's Intelligence Index and Coding Agent Index—though coding-agent comparisons depend heavily on the surrounding harness and aren't pure model-to-model tests. Both models share headline API pricing of $10/M input and $50/M output, with caching and long-context pricing differing. The author invites more real-world comparisons.
More from Models
- Martian says routing across 44 LLMs cuts errors 46% vs best single model on 16 benchmarks — Arindam_1729 · 2026-09-04
- Ex-OpenAI safety lead Miles Brundage: if your primary emotion on AI isn't concern, you're misreading it — Miles_Brundage · 2026-09-04
- Gary Marcus on GPT-6 Astra: symbolic world models are vindication, but no proof of AGI — GaryMarcus · 2026-09-04
- Ex-Google X Quant Guillaume Verdon Says OpenAI Is 'Kinda Back' — But Vibes, Not Benchmarks, Will Decide — beffjezos · 2026-09-04
- Mystery model "Astra" reportedly beats 5.6 Sol Pro on FrontierMath T4 — ctjlewis · 2026-09-04
- Inkling and Inkling-Small models get a free inference tier, and it's staying — simonguozirui · 2026-09-04