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Teams building agentic pipelines should audit any custom Attention module code for `self.rotary_fn(...)` calls before upgrading to `v5.6.0`, and can immediately leverage the new `/v1/completions` endpoint and multimodal serve support for production deployments.
Teams building production document-processing pipelines should evaluate cost-per-success and consistency metrics like `pass^5` rather than peak accuracy alone, as this benchmark shows budget and mid-range models can dramatically outperform expensive SOTA models on real business OCR tasks.
Teams building production OCR pipelines can use this benchmark to avoid overpaying for SOTA models — Gemini 3 Flash matches top-tier accuracy at a fraction of the cost, and the `pass^n` consistency metric helps identify models that are reliable enough for automated workflows.