Get an email when this model's blended price drops. No account needed.
One email per drop. Unsubscribe anytime.
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.
A cost-efficient version of GPT Audio. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Input is priced at $0.60 per million...
gpt-audio-mini is a Text model from OpenAI (US). HotON.ai tracks it at $0.60 per 1M input tokens and $2.40 per 1M output tokens, with a 128K-token context window. Its composite efficiency score is 88/100 at an estimated $0.002 per successful task.
gpt-audio-mini is tracked at $0.60 per 1M input tokens and $2.40 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.
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
gpt-audio-mini 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-audio-mini is cheaper than 40% of models on input price and ranks #393 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 — gpt-audio-mini (OpenAI): $0.60/1M input, $2.40/1M output. https://hoton.ai/en/models/openai-gpt-audio-miniPricing 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.