All three labs shipped frontier models in the last 10 days - how are you deciding what to actually run in production?

It's been a busy few week. In roughly a 10-day window all three major labs put a new frontier-ish model: Google - Gemini 4 "Argon" (announced Sept 30). Google is framing it around software engineering, legal/finance knowledge work, and cybersecurity defense, and the striking part is the rollout: it's initially limited to a set of "trusted cyber defenders" for safety reasons, not open to the public. Output limit reportedly pushed to ~1M tokens. OpenAI - GPT-6 Astra (early Sept), followed by GPT-6 Sol and GPT-6 Luna (Sept 22). Astra is positioned as the flagship for complex reasoning/coding and was the first model to hit the "Critical" cybersecurity tier under OpenAI's Preparedness Framework. Sol is the cost/intelligence middle ground, Luna targets high-volume cost-sensitive work. Astra pricing ~$10 in / $50 out per M tokens, 1M context. Anthropic - Claude Opus 5.5 (Sept 22) and Claude Sonnet 5.5 (Sept 28). Opus 5.5 at $4 / $20 per M tokens with cheaper cache reads; Sonnet 5.5 keeps Sonnet's $2 / $10 pricing but claims ~30% faster output and up to ~30% lower cost per task through efficiency rather than cheaper tokens. Two things stand out beyond the benchmarks: The rollout is now a product decision. Gemini 4 gated to cyber defenders, and GPT-6 Astra's "Critical" cyber rating, suggest access tiers will be part of choosing a model - not just price and quality. "Cost per task" is quietly replacing "cost per token." Sonnet 5.5 is the clearest example: same token price, sold on task cost. That reframes benchmarking. What I'm curious about: If you're running agents in production, are you actually migrating, or waiting for real user review? A launch means re-evaluating prompts, tool-calling, and evals - expensive. For those who swap: how much of your stack assumes a single provider? Do you change SDKs/auth, or is there an abstraction layer in front? Has gated/restricted release changed how you think about single-vendor dependency? Practically - has anyone run coding or long-horizon agent tasks on these and seen the hype hold up?