Why is GPT-6 Astra ranked so low on LM Arena? Outscored by GPT-5.6 and 6.1
AreaExact7824 · reddit · 2026-10-15
A Reddit user asks why GPT-6 Astra ranks so low on the LM Arena leaderboard, noting they rarely use it because it's too expensive. The attached Text Arena overall board (8.8M votes, 415 models) shows gpt-6-astra-max at rank 30 with a score of 1477±6 (11,674 votes) — below gpt-5.6-sol-xhigh (rank 21, 1485) and gpt-6.1-sol-max (rank 22, 1484), and tied with gpt-5.5 at rank 31, with price and context listed as N/A.
More from Models
- kalomaze argues ensembled synthetic data can cover data-scarce domains — kalomaze · 2026-10-15
- Newer image models are easier to jailbreak, with 2x more attacks getting through — Scobleizer · 2026-10-15
- Gemini controls a real robot from one prompt: SSH in, find joints, learn from demo — heiga_zen · 2026-10-15
- Tokenization refactor speeds up Sentence Transformers, biggest gains for static embedding models — tomaarsen · 2026-10-15
- Hugging Face tokenizers: another ~5x speedup for BERT tokenizers on top of v1 — tomaarsen · 2026-10-15
- Open-weights TYGER model combines ASR with full-duplex turn control, 250ms latency — KokaOP · 2026-10-15