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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 2026-05-08 · Source: google_gemini_official_pricing
Mixed text, image, audio and document workloads that benefit from one model across modalities.
Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the...
gemini-3.1-pro-preview is a Multimodal model from Google (US). HotON.ai tracks it at $2.00 per 1M input tokens and $12.00 per 1M output tokens, with a 1049K-token context window. Its composite efficiency score is 91/100 at an estimated $0.010 per successful task.
gemini-3.1-pro-preview is tracked at $2.00 per 1M input tokens and $12.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $9.50 per 1M tokens. Figures are illustrative demo data.
Mixed text, image, audio and document workloads that benefit from one model across modalities.
gemini-3.1-pro-preview 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-3.1-pro-preview is cheaper than 15% of models on input price and ranks #56 of 537 by overall efficiency.
Yes — gemini-2.5-flash-lite-preview-09-2025 is a lower-cost option at $0.40 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-3.1-pro-preview (Google): $2.00/1M input, $12.00/1M output, as of 2026-05-08. https://hoton.ai/en/models/google-gemini-3-1-pro-previewPricing 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.