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.
OpenAI compact realtime model for lower cost interactive audio workflows.
gpt-realtime-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 1K-token context window. Its composite efficiency score is 87/100 at an estimated $0.002 per successful task.
gpt-realtime-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-realtime-mini 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, gpt-realtime-mini is cheaper than 40% of models on input price and ranks #428 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-realtime-mini (OpenAI): $0.60/1M input, $2.40/1M output. https://hoton.ai/en/models/openai-gpt-realtime-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.