Compare Deep Deepseek V4 Flash from DeepSeek and DeepSeek V4 Flash 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.
Deep Deepseek V4 FlashDeepSeek V4 FlashDeep-deepseek-v4-flash is the latest version 0731. Currently, the default routing for deepseek-v4-flash goes through deep-deepseek-v4-flash, which is DeepSeek's official endpoint. DeepSeek-V4 has a super long context of millions of words and leads in domestic and open-source fields in terms of agent capabilities, world knowledge, and reasoning performance.
(This model currently points to the older 0423 version; if you need to request the latest version, you can choose the model deepseek-v4-flash-0731)DeepSeek-V4 features an ultra-long context of one million characters and achieves leading performance domestically and in the open-source domain in agent capabilities, world knowledge, and reasoning.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
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Daily traffic served through AIHubMix — how demand for each model is trending.
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Estimate your monthly bill for the same workload on each model.
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DeepSeek V4 Flash: $0.284/M output tokens; Deep Deepseek V4 Flash: $0.6972/M. Use the cost calculator above to estimate your own workload.
DeepSeek V4 Flash: 1.0s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
Deep Deepseek V4 Flash accepts 1,000,000 and DeepSeek V4 Flash accepts 1,000,000 input tokens. Maximum output per request is 384,000 tokens on Deep Deepseek V4 Flash and 384,000 tokens on DeepSeek V4 Flash.
DeepSeek V4 Flash at 66.5 tok/s and Deep Deepseek V4 Flash at 46.5 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
Deep Deepseek V4 Flash accepts text input and supports tool calling, function calling, structured outputs and thinking; DeepSeek V4 Flash accepts text input and supports tool calling, function calling, structured outputs and thinking.
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