SnapCompact: Cutting LLM Context Costs by Rendering Text as Images
arpit_bhayani · x · 2026-08-03
Stencil introduced SnapCompact, a context compression technique that ditches traditional text summarization. Instead, it renders long context into a dense pixel-font bitmap (PNG image) for the model to read.
Key stats and findings:
- Capacity & Cost: A 1568x1568 PNG can hold 40,000 characters. While costing 10,000 plain text tokens, Anthropic bills this image input (using a 6x10 pixel font) at only 3,279 tokens—slashing input costs by two-thirds.
- Model Comprehension: The multimodal model doesn't just look at the picture; it reads the text near-verbatim.
- Font Threshold: Font size matters significantly. There is a sharp cliff around 40 sq. px per character. Below this threshold, transcription fails completely; above it, the model reads smoothly.
Related event: SnapCompact Cuts Token Costs by Converting Text to Images(2 posts)→
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