OpenAI introduced GPT-Rosalind, a life-sciences-tuned model built for biological research, drug discovery, and tool-heavy scientific workflows. It is OpenAI's most explicit vertical research model to date and complements ChatGPT and the Agents SDK as the company reorients toward enterprise and scientific applications.
Snapshot — April 16, 2026
3 stories
- OpenAI's GPT-5.5 is a fully retrained base — the first since GPT-4.5 — claiming the top of the Artificial Analysis Intelligence Index at 60, scoring 82.7% on Terminal-Bench 2.0 (+7.6 over GPT-5.4), and finishing Codex tasks with ~40% fewer output tokens.
- API pricing doubled to $5/$30 per MTok ($30/$180 for the Pro variant); effective cost is up only ~20% after token-efficiency gains.
- V4 Pro is a 2T-parameter MoE (49B active) with a 1M context, GPQA 90.1, and SWE-bench 80.6 at $1.74/$3.48 per MTok.
- V4 Flash (284B/13B) targets latency-sensitive workloads at $0.14/$0.28.
- The release lands the same week as GPT-5.5 and tightens open-weights' gap with frontier closed models.