The best "raw" frontier model for document parsing is gemini 3 flash, but the issue is that since then the flash models have gotten 3x more expensive while flatlining on visual recognition across complex documents. This has been the case for every frontier model including the latest OpenAI/Anthropic models - see the diagram below for GPT (since then we've also benchmarked 5.6) In the meantime, hybrid approaches like LlamaParse that blend specialized VLMs with a text engine offer better performance; our own LlamaParse accuracy has increased 15% over tables and charts. If you have document OCR needs and are thinking about using a frontier model, you might as well come check out LlamaParse! We have a full eval harness through ParseBench that you can configure over your own docs: