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Real human-preference Elo from LMArena blind head-to-head votes. Higher is better; — means not yet ranked in that arena. This is measured, not our estimate.
Blended $/1M across tracked versions of this line.
Typical 3:1 output-to-input mix, per 1M tokens
Price as of 2026-04-28 · Source: legacy_model_catalog
Mixed text, image, audio and document workloads that benefit from one model across modalities.
GPT-5.2 is the latest frontier-grade model in the GPT-5 series, offering stronger agentic and long context perfomance compared to GPT-5.1. It uses adaptive reasoning to allocate computation dynamically, responding qui...
gpt-5.2 is a Multimodal model from OpenAI (US). HotON.ai tracks it at $1.75 per 1M input tokens and $14.00 per 1M output tokens, with a 400K-token context window. Its composite efficiency score is 85/100 at an estimated $0.011 per successful task.
gpt-5.2 is tracked at $1.75 per 1M input tokens and $14.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $10.94 per 1M tokens. Figures are illustrative demo data.
Mixed text, image, audio and document workloads that benefit from one model across modalities.
gpt-5.2 supports up to a 400K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, gpt-5.2 is cheaper than 19% of models on input price and ranks #461 of 535 by overall efficiency.
Yes — gemini-3.1-flash-lite-preview is a lower-cost option at $1.50 per 1M output tokens, while still covering similar Multimodal 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-5.2 (OpenAI): $1.75/1M input, $14.00/1M output, as of 2026-04-28. https://hoton.ai/en/models/openai-gpt-5-2Pricing 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.