Compare DeepSeek-OCR from DeepSeek and DeepSeek V3 from DeepSeek on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
DeepSeek-OCRDeepSeek V3DeepSeek-OCR is a vision-language model launched by DeepSeek AI, focusing on optical character recognition (OCR) and “contextual optical compression.” The model is designed to explore the limits of compressing contextual information from images, efficiently processing documents and converting them into structured text formats such as Markdown. The model requires an image as input.
It has been automatically upgraded to the latest released version, 250324. Automatically upgraded to the latest released version 250324.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Daily traffic served through AIHubMix — how demand for each model is trending.
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
DeepSeek-OCR: $0.02/M output tokens; DeepSeek V3: $1.088/M. Use the cost calculator above to estimate your own workload.
DeepSeek-OCR: 1.2s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
DeepSeek-OCR accepts 8,000 and DeepSeek V3 accepts 1,638,000 input tokens.
DeepSeek-OCR at 89.3 tok/s and DeepSeek V3 at 66.5 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
DeepSeek-OCR accepts text and image input; DeepSeek V3 accepts text input and supports tool calling, function calling and structured outputs.
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