Compare DeepSeek-OCR from DeepSeek and DeepSeek V3.1 Thinking 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 V3.1 ThinkingDeepSeek-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.
Thinking mode of DeepSeek-V3.1; DeepSeek V3.1 is a text generation model provided by DeepSeek, featuring a hybrid reasoning architecture that achieves an effective integration of thinking and non-thinking modes.
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 Thinking: $1.68/M. Use the cost calculator above to estimate your own workload.
DeepSeek-OCR: 0.9s 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 V3.1 Thinking accepts 128,000 input tokens.
DeepSeek-OCR at 41.9 tok/s and DeepSeek V3.1 Thinking at 31.5 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
DeepSeek-OCR accepts text and image input; DeepSeek V3.1 Thinking accepts text input and supports thinking, tool calling, function calling and structured outputs.
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
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