Muse Wonder finishes tasks in 6.8 minutes, twice as fast as Claude Opus 5.5
shensi · x · 2026-10-20
- Per the Artificial Analysis Intelligence Index (week of Oct 12), per-task time varies sharply among top models: Meta's Muse Wonder completes an average task in 6.8 minutes (score 52.4), with Muse Spark 1.3 and GPT-6 Astra at 8.1 minutes.
- Claude Opus 5.5 (57.6) takes 13.2 minutes and Sonnet 5.5 (56.0) takes 15.3 — roughly twice as slow despite higher scores.
- The poster uses the data to pitch request routing: send latency-sensitive calls to fast models and hard ones to strong models behind a single endpoint.
More from Models
- What Gen Models Run Well on a 3060/4060? Reddit Weighs Local Setups — Haghiri75 · 2026-10-20
- Sol 6.1 caught cheerfully talking itself through task assignment in agent logs — TheZachMueller · 2026-10-20
- Unreleased Moonshot model Kimi-K3.1 spotted in sglang PR, specs unconfirmed — TheZachMueller · 2026-10-20
- Claude Opus 5.5 tops TxBench antibody-discovery benchmark at 67.7%, GPT-6 Astra leads oligo tasks — kenbwork · 2026-10-20
- stealthbench adds 10 EDR-guarded tasks: models' opsec behavior is abysmal — dyn___ · 2026-10-20
- "Everyone has a little Terry Tao in their pocket now" — Reza_Zadeh · 2026-10-20