Datalab ships Chandra 2.6: beats frontier models on OmniParseBench at 94.1, 2.5x faster

VikParuchuri · x · 2026-10-28

Datalab released Chandra 2.6 across all API modes at unchanged pricing. On OmniParseBench, its accurate mode scores 94.1, ahead of Gemini 3.8 Flash (92.7), GPT-6.1 Sol (91.4) and Claude Opus 5.5 (90.7). Median per-page latency on a fixed 1,187-page set dropped from 17.0s (Chandra 2.4) to 6.7s — 2.5x faster and 37% faster than 2.5 — while failed requests fell from 1 in 6,400 to 1 in 112,000. No config changes needed for existing users.

Related event: Datalab's Chandra OCR 2.6 beats frontier models at 5-15x lower price(3 posts)→

Original post →

More from Models

Models channel →