(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.
DeepSeek V4 Flash vs gemini-2.5-pro-exp-03-25
Compare DeepSeek V4 Flash from DeepSeek and gemini-2.5-pro-exp-03-25 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.
Google’s latest experimental model, highly unstable, for experience only. It boasts strong reasoning and coding capabilities, able to "think" before responding, enhancing performance and accuracy in complex tasks. It supports multimodal inputs (text, audio, images, video) and a 1 million token context window, suitable for advanced programming, math, and science tasks. This means Gemini 2.5 can handle more complex problems in coding, science and math, and support more context-aware agents.
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
Requests / day
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-exp-03-25?
DeepSeek V4 Flash: $0.284/M output tokens; gemini-2.5-pro-exp-03-25: $5/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
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.
Which one generates tokens faster?
gemini-2.5-pro-exp-03-25 at 122.0 tok/s and DeepSeek V4 Flash at 66.4 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
DeepSeek V4 Flash accepts text input and supports tool calling, function calling, structured outputs and thinking; gemini-2.5-pro-exp-03-25 accepts text, image, audio and video input and supports structured outputs, tool calling and long context.
Can I call DeepSeek V4 Flash and gemini-2.5-pro-exp-03-25 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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