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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.
The gpt-4o-audio-preview model adds support for audio inputs as prompts. This enhancement allows the model to detect nuances within audio recordings and add depth to generated user experiences. Audio outputs...
gpt-4o-audio-preview is a Text model from OpenAI (US). HotON.ai tracks it at $2.50 per 1M input tokens and $10.00 per 1M output tokens, with a 128K-token context window. Its composite efficiency score is 85/100 at an estimated $0.010 per successful task.
gpt-4o-audio-preview is tracked at $2.50 per 1M input tokens and $10.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $8.13 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.
gpt-4o-audio-preview supports up to a 128K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, gpt-4o-audio-preview is cheaper than 12% of models on input price and ranks #468 of 535 by overall efficiency.
Yes — minimax-m2.7 is a lower-cost option at $1.20 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 — gpt-4o-audio-preview (OpenAI): $2.50/1M input, $10.00/1M output. https://hoton.ai/en/models/openai-gpt-4o-audio-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.