Image Tiles and Token Costs
Anthropic's vision pricing is tile-based. An image is divided into 512×512 pixel tiles. Each tile costs a fixed number of tokens (roughly 1,334 for Sonnet). A 1024×1024 image uses 4 tiles. A 2048×1536 image uses 12 tiles. The key insight: the number of characters packed inside those tiles is irrelevant to the cost. A blank white image costs the same as one dense with 10,000 characters of code.
The Math Behind 88% Savings
A 100,000-character payload tokenized as text produces approximately 28,500 tokens. The same text rendered into dense PNGs at 200 columns × 90 rows per page produces roughly 6 pages of 1000×720 images. At ~2 tiles per page, that is 12 tiles × 1,334 tokens = roughly 16,000 image tokens. But with optimal packing at higher column density, this drops further to about 3,350 tokens per page — yielding the ~88% reduction.
Optimal Image Dimensions
Through empirical testing, the sweet spot for pxpipe output is approximately 1000×720 pixels. This fits within 2-3 tiles while packing over 25,000 characters per page. Going wider than 1500 pixels triggers extra tile splits that waste tokens on partially filled tiles. Going too narrow wastes vertical space.
Comparing Models: Sonnet vs. Opus vs. Haiku
Claude Sonnet 4.6 offers the best price-to-performance for image reading tasks. Haiku is cheaper per token but has lower vision accuracy on dense grids. Opus has the highest accuracy but at 5× the cost of Sonnet. For bulk code analysis, Sonnet provides the optimal tradeoff.
Cost Projection for Production Workloads
A team processing 1,000 files per day at an average of 50,000 characters each would consume approximately 14 million text tokens daily. Using visual encoding, that drops to roughly 3.3 million image tokens — saving over $30 per day or roughly $900 per month on Anthropic API costs alone.
Calculating Image Token Cost in JavaScript
function estimateImageTokens(widthPx, heightPx) {
const TILE_SIZE = 512;
const TOKENS_PER_TILE = 1334;
const tilesX = Math.ceil(widthPx / TILE_SIZE);
const tilesY = Math.ceil(heightPx / TILE_SIZE);
return tilesX * tilesY * TOKENS_PER_TILE;
}
// A typical pxpipe page: 1000x720
console.log(estimateImageTokens(1000, 720));
// Output: 5336 tokens (2x2 tiles)
Frequently Asked Questions
Conclusion
Visual token encoding is a practical, immediately deployable optimization that works with your existing AI stack. Whether you are a developer building pipelines or a founder managing API budgets, the ~88% input cost reduction compounds into real savings that improve your margins and extend your runway.
Ready to try it? Open PXINK and drop a file to see your savings instantly.