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Blended $/1M across tracked versions of this line.
Typical 3:1 output-to-input mix, per 1M tokens
Price as of 2026-04-28 · Source: legacy_model_catalog
Mixed text, image, audio and document workloads that benefit from one model across modalities.
Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinking" capabilities, enabling it to prov...
gemini-2.5-flash is a Multimodal model from Google (US). HotON.ai tracks it at $0.30 per 1M input tokens and $2.50 per 1M output tokens, with a 1049K-token context window. Its composite efficiency score is 95/100 at an estimated $0.002 per successful task.
gemini-2.5-flash is tracked at $0.30 per 1M input tokens and $2.50 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $1.95 per 1M tokens. Figures are illustrative demo data.
Mixed text, image, audio and document workloads that benefit from one model across modalities.
gemini-2.5-flash supports up to a 1049K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, gemini-2.5-flash is cheaper than 51% of models on input price and ranks #33 of 535 by overall efficiency.
Yes — gemini-3.1-flash-lite-preview is a lower-cost option at $1.50 per 1M output tokens, while still covering similar Multimodal use cases. Compare them side by side on HotON.ai.
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HotON.ai — gemini-2.5-flash (Google): $0.30/1M input, $2.50/1M output, as of 2026-04-28. https://hoton.ai/en/models/google-gemini-2-5-flashPricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Efficiency is a modeled composite of real price and context.