Anthropic released Claude Sonnet 5.5 on September 28. Pricing holds at Sonnet 5 levels, $2 per million input tokens, and Terminal-Bench 4.0 climbs from 10.3% to 70.6%, past Opus 5.5 at 66.4%.
Ollaya, an Apache-2.0 runtime released September 23, speaks the same API as TypeSafe Jev. One environment variable points the official SDK at a local server, and open decision-model accuracy ranges from 0.361 on laya:en to 0.722 on kev:9b.
AWS open-sourced Strands harness under Apache 2.0 on September 21. Running the same Claude and GPT models, it averaged 28% lower token cost across six benchmarks, and the gap comes from defaults like 1,500-token tool truncation and compaction at 85%.
OpenAI shipped GPT-6 Sol and Luna on September 22. Input runs $2 per million tokens on Sol and $0.10 on Luna, exactly half the predecessor rate, while the top DeepSWE score drops from 72.7% to 68.8%.
Anthropic released Claude Opus 5.5 on September 22. Input runs $4 per million tokens against Fable 5.1 at $10, and Terminal-Bench 4.0 climbs from 52.3% on Opus 5 to 66.4%.
PrismML released Ternary Bonsai 2 27B under Apache 2.0 on September 17, compressing Qwen3.8 27B into 5.9GB. The 20-benchmark average holds at 98.2% of the original, but long-horizon coding scores drop to three quarters.
Google shipped two speech-to-speech models on September 15. The cheap gemini-3.8-live lifts the composite index from 71.5% to 76.0%, but its tool-calling task completion rate lands below the model it replaces.
TypeSafe shipped Jev, a model that returns choices and probabilities instead of prose. Input runs $0.042 per million tokens with output free, but its own eval puts accuracy in the 67% range, roughly 6 points below GPT-5.6 Sol, and access is waitlist-only.
OpenRouter's own 32-day benchmark table puts DeepSeek V4 Flash 0731 at 76.8% TAU-Bench on one host and 46.4% on another. After an operator's measurements hit the top of Hacker News, OpenRouter said a QoS tier is coming.
ARC Prize ran GPT-6 Astra on ARC-AGI-3 under two harnesses and got 62.7% and 99.9%. Same model, same games. The only difference was whether reasoning state survived between calls. The leaderboard will now carry both numbers.
Nvidia Nemotron-3-Ultra-CC scored 535.4 at IOI 2026, above the 498.27 of the best human contestant. The paper breaks the score down, and most of it came from a test-time loop that resamples 200 candidates rather than from post-training.
Armature ran Claude Code, Codex, and Cursor through 16,893 sessions where each agent had to pick a third-party service and write the integration. The three agreed 42% of the time, and switching the repo language changed the winning email provider.