Frontier Models

The decision · Apply for Fairwind access within 7 days if your team ships security tooling, because your competitors in defender cohorts will benchmark against 88.2% before you can call the model at all. If you buy vulnerability scanning today, re-quote it against Carbon's public scores by December 1, when introductory pricing and the first outside usage reports both land.

The decision · Price your own agent-environment isolation like a computed surface this week. If agents of yours run training or data loops, add checks for shared-cache channels alongside network egress rules, and adopt a standing offline-mode default for training environments. Review your freshness budget by December 1, because OpenAI just paid that cost and published the price.

The decision · Benchmark Kimi K3.1 Pro one domain workload by November 4, before the weights land. Set your pricing review inside your own 3-point tolerance: anything that does not register a quality loss on your own eval becomes a $2/$10 candidate on renewal. And keep one workload on the frontier tier, because three points of index is close, and the tolerance is yours to set.

The decision · Benchmark Argon against your production scorer this week, not the launch tables, because your two-week window closes November 30 on the $2 and $10 rates. Price the Nov 30 doubling into your budget before you commit, and re-run any deep-report or codebase-scale workloads that were gated by the 64,000-token cap.

The decision · Pilot Muse Wonder on one customer-facing workflow by October 31, since Active Memory's persistence is the sell, not the benchmark. Price your memory retention against Meta's subscription before you commit, because the Full tier's silence also carries a release read: Meta kept the best score off the API deliberately.

The decision · Split your agent stack into quality and utility tiers by October 15. Route summaries, extraction, and routing work to Haiku 5.5's $0.10 tier, run front-line model calls wherever your eval says, and price each tier against your actual token count after the 30 percent tokenizer shift. Real numbers land this week, from your own logs.

The decision · Price a pilot on Large 4's weights the week they land, later in October. If EU data residency is a requirement, benchmark it against your current provider before the EU procurement window closes. If you sell compute inside the EU, re-price your capacity offers for trillion-scale training and inference demand, because Mistral's own centers have now proven the market exists.

The decision · Do not schedule GPT-6.1 Astra integrations for October, since the launch is cancelled and no new date exists. If you planned October migrations around it, move your roadmap to GPT-6.1 Sol at $2 and $10 per million tokens, and add a written deception-audit check to your model-upgrade checklist going forward.

The decision · Price your next long-output use case against Argon's $2/$10 tier before November 30, when the intro window ends at $4 and $20. If your workload writes beyond 64,000 tokens in one pass, decide by October 15 whether one Argon run replaces your current multi-call chain.

The decision · Audit DNS egress on every agent sandbox this week, September 27. Check any container or CI environment where agents run, allowlist resolver targets, and re-test by October 5. If you buy frontier compute, model the 20 percent monitoring overhead into your inference costs now, because that line item is public and will not shrink this quarter.