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SaaS Yacht Club

Topics / Frontier models

Frontier models: what's new and what's worth switching to

Labs now ship flagships in weeks, not quarters. Members track new releases, compare benchmark claims against their own tasks, and weigh price and context limits before moving production workloads.

In the club

Counted across 255,431 messages from 1,844 members. Nobody is named or quoted.

Tools discussed

  • ChatGPT / OpenAI2,345
  • Claude / Anthropic989 ↑
  • DeepSeek319 ↑
  • Gemini163
  • AI Model39 ↑
  • AI Model19 ↑

Rising threads of conversation

  • Chinese open models go mainstream

    19.3/1k now vs 7.1/1k before

  • Benchmarks and frontier model race

    15.7/1k now vs 3.2/1k before

  • Model routing to manage cost

    35.9/1k now vs 20.5/1k before

Why it matters

Frontier model releases are one of the fastest growing topics in the club. The right model choice changes both the quality and the cost of every AI workflow members run.

What practitioners should know

  1. 01

    Benchmarks are a starting point

    Published scores rarely match a specific workload; members test candidates on their own prompts before switching.

  2. 02

    Open weights keep closing the gap

    Open models are now credible for many production tasks, especially where cost or data residency matters.

  3. 03

    Price moves fast

    Introductory rates, cache discounts and off-peak pricing change the real cost of a model more than list prices suggest.

Worth reading

Research gathered Sep 29.

Questions to be able to answer

  • Which task would you re-test first when a new flagship ships?

Public threads on this

Club numbers as of Oct 24. Words are reviewed before they go live. Links go to their publishers.