THE DAILY BRIEF

Claude Haiku 5.5 matches GPT-6 Luna at $0.10/$0.50 per million tokens and beats it on Anthropic's evals, but prompts over 100K tokens cost 5x and its tokenizer counts about 30% more tokens than Haiku 4.5. Short-prompt classification and routing get the big saving; compaction and long-context work get much less.

Automation Anywhere is buying Boost.ai from Nordic Capital with no price, roadmap or customer commitments disclosed. Boost.ai's European banks and insurers, and Aisera customers facing an overlapping stack, should fix price, exit and data terms before the Q4 2026 close.

Juicebox bought Fetcher's IP and assets, and Fetcher retires its platform on October 16. Candidate data does not transfer, so customers must export it, revoke mailbox and ATS access, and choose a replacement themselves.

Chronos-2 is the forecasting foundation model to self-host: Apache 2.0, P1 to P99 quantiles and a Decathlon deployment behind it. TimesFM 3.0 tops Google's benchmarks, but its weights are licensed for production only inside BigQuery, and Moirai 2.0's are non-commercial.

OpenAI's Ultrafast tier runs GPT-6 Astra at $60 input and $300 output per million tokens, 6x Standard, on US or global processing only. It ships off for Enterprise; turn it on per named user with a spend limit.

Reflection's Beam is a 501B Apache 2.0 open model from a US lab, and its own table has it losing to Kimi K3 on 13 of 14 shared benchmarks. Weights and pricing aren't out yet.