Image Token Cost

Cutting the number of vision tokens a VLM sends to the LLM without wrecking accuracy

How modern VLMs read a high-resolution image that a fixed-size encoder can't ingest whole

Is feeding the VLM the highest possible image resolution always the right call?

Explain how a resampler connector bounds vision-token cost, and what it gives up to do so

Reasoning over a 200-page document or a long video: what breaks, and what are the escape hatches?

Why images are expensive to process in a VLM, and the core tradeoff that creates

Predict the total vision-token count for a tiled high-resolution image

Which factor most directly drives the token cost of an image in a VLM request?

Keeping an image-heavy multimodal feature feeling fast despite a slow vision pipeline

Diagnose why a projection-style VLM hits its context limit on 20-image requests