DeepSeek V4 Flash 0423 is DeepSeek's efficiency-optimized Mixture-of-Experts text model, designed for fast inference and workflows requiring tool use, function calling, and structured outputs. It features 284B total parameters with 13B activated parameters and supports a 1M-token context window with cost-effective pricing.
DeepSeek V4 Flash vs Gemini 2.5 Pro Preview 05-06
Compare DeepSeek V4 Flash from DeepSeek and Gemini 2.5 Pro Preview 05-06 from Google on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
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Pricing & Specifications
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.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
Tokens / day
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Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
Cost calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: DeepSeek V4 Flash, Gemini 2.5 Pro Preview 05-06?
DeepSeek V4 Flash: $0.928/M output tokens; Gemini 2.5 Pro Preview 05-06: $10/M. Use the cost calculator above to estimate your own workload.
How large is each context window?
DeepSeek V4 Flash accepts 1,000,000 and Gemini 2.5 Pro Preview 05-06 accepts 1,048,576 input tokens.
What inputs and capabilities does each model support?
DeepSeek V4 Flash accepts text input and supports tool calling, function calling and structured outputs; Gemini 2.5 Pro Preview 05-06 accepts text, image, video, audio and PDF input and supports thinking and long context.
Can I call DeepSeek V4 Flash and Gemini 2.5 Pro Preview 05-06 with the same API key?
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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