Compare Gemini 2.0 Flash from Google and Gemini 2.0 Flash Exp 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.
Gemini 2.0 FlashGemini 2.0 Flash ExpGemini 2.0 Flash is Google's latest lightweight model featuring extremely low hallucination rates while maintaining fast response times, offering developers high-precision and efficient AI solutions particularly suited for applications requiring high factual accuracy.
https://doc.aihubmix.com/en/api/Gemini%20%E5%9B%BE%E7%89%87%E7%94%9F%E6%88%90%E5%92%8C%E7%BC%96%E8%BE%91 Instructions: Need to add parameters to experience new features: "modalities":["text","image"] Images are passed and output in Base64 encoding As an experimental model, it's recommended to explicitly specify "output image", otherwise it might only output text Default height for output images is 1024px Python calls require the latest OpenAI SDK, run pip install -U openai first
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 Exp: $0.08/M output tokens; Gemini 2.0 Flash: $0.4/M. Use the cost calculator above to estimate your own workload.
Gemini 2.0 Flash Exp: 0.5s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
Gemini 2.0 Flash Exp at 200.0 tok/s and Gemini 2.0 Flash at 131.2 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
Gemini 2.0 Flash accepts text, image, audio and video input and supports tool calling, function calling, structured outputs and long context; Gemini 2.0 Flash Exp accepts text, image, audio and video input and supports long context.
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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