Compare DeepSeek V4 Flash from DeepSeek and gemini-2.0-flash-thinking-exp-01-21 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.
DeepSeek V4 Flash
gemini-2.0-flash-thinking-exp-01-21DeepSeek 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.
The latest version, Gemini 2.0 Flash Thinking mode, is an experimental model designed to generate the "thought process" that the model goes through during its responses. Therefore, Gemini 2.0 Flash Thinking mode has stronger reasoning capabilities in its responses compared to the base Gemini 2.0 Flash model.
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.
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gemini-2.0-flash-thinking-exp-01-21: $0.304/M output tokens; DeepSeek V4 Flash: $0.928/M. Use the cost calculator above to estimate your own workload.
DeepSeek V4 Flash accepts text input and supports tool calling, function calling and structured outputs; gemini-2.0-flash-thinking-exp-01-21 accepts text, image, audio and video input and supports thinking and long context.
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