Pinterest: <8% of closed-model cost per transaction
Pinterest (consumer internet and advertising, ~5,000 employees) reported this on 5 Aug 2026 in earnings call (source). It belongs to the models and routing layer.
What they built
A blended model portfolio (in-house compact models, open-source models post-trained on Pinterest data in its own secure cloud, closed models only in 'very limited cases') behind a centralized routing layer that sends routine work to lighter models; being extended to internal engineering and sales tools in H2 2026.
The result
Cost per transaction with open models at less than 8% of comparable closed proprietary models, with 'superior performance for our use cases' (e.g., Pinterest Assistant).
The number covers pinterest's own use cases where open models replaced comparable closed ones; stated by CEO on earnings call.
“With open models, we are achieving cost per transaction at less than 8% of the cost of comparable closed proprietary models,” Pinterest said.
The layer: models and routing
One gateway picks the AI model for each task and records what it costs.
An internal AI Gateway that, turn by turn, weighs speed, cost and expected quality and routes each prompt to the most cost-effective model, switching models mid-session, plus a library of post-trained open telco models (OTel 2.0) that run on-prem or in cloud (source).
A cost equation and weekly metric stack for its agentic 'software factory' (70%+ of PRs agent-attributed), with benchmark-driven Pareto model selection (incl. open-weight models), cheaper default subagent models, Medium reasoning effort default, 400K-token compaction cap and prompt-cache strategy (source).
lower average task cost from smart routing, internal coding work
An internal control layer between developers and models: moving defaults to newer cheaper models in one place, task-aware routing across models and harnesses, per-developer spend reports, and progressive friction (warning, approval, downshift to cheaper model) in place of hard caps (source).
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