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Blended $/1M across tracked versions of this line.
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 GPT Realtime 2 is a reasoning realtime voice model for low-latency speech-to-speech interactions and tool use.
gpt-realtime-2 is a Text model from OpenAI (US). HotON.ai tracks it at $4.00 per 1M input tokens and $16.00 per 1M output tokens, with a 128K-token context window. Its composite efficiency score is 82/100 at an estimated $0.016 per successful task.
gpt-realtime-2 is tracked at $4.00 per 1M input tokens and $16.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $13.00 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-2 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-realtime-2 is cheaper than 7% of models on input price and ranks #502 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.
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HotON.ai — gpt-realtime-2 (OpenAI): $4.00/1M input, $16.00/1M output. https://hoton.ai/en/models/openai-gpt-realtime-2Pricing 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.