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Daily blended price ($/1M) — recorded each day, builds into a trend over time.
Typical 3:1 output-to-input mix, per 1M tokens
Source: litellm
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
Google Gemini 2.5 Pro text-to-speech preview for higher quality and steerable speech output.
gemini-2.5-pro-preview-tts is a Text model from Google (US). HotON.ai tracks it at $1.00 per 1M input tokens and $20.00 per 1M output tokens, with a 1K-token context window. Its composite efficiency score is 79/100 at an estimated $0.012 per successful task.
gemini-2.5-pro-preview-tts is tracked at $1.00 per 1M input tokens and $20.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $15.25 per 1M tokens. Figures are illustrative demo data.
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
gemini-2.5-pro-preview-tts supports up to a 1K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, gemini-2.5-pro-preview-tts is cheaper than 27% of models on input price and ranks #515 of 537 by overall efficiency.
Yes — minimax-m2 is a lower-cost option at $1.00 per 1M output tokens, while still covering similar Text use cases. Compare them side by side on HotON.ai.
Ready to paste into articles, papers or AI prompts — prices and date refresh with the live data.
HotON.ai — gemini-2.5-pro-preview-tts (Google): $1.00/1M input, $20.00/1M output. https://hoton.ai/en/models/google-gemini-2-5-pro-preview-ttsPricing 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.