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Blended $/1M across tracked versions of this line.
Typical 3:1 output-to-input mix, per 1M tokens
Price as of 2026-05-10 · Source: openai_official_pricing
Mixed text, image, audio and document workloads that benefit from one model across modalities.
OpenAI GPT-5.3 Chat Latest points to the GPT-5.3 instant snapshot used for ChatGPT-style chat workloads.
gpt-5.3-chat-latest 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 128K-token context window. Its composite efficiency score is 83/100 at an estimated $0.011 per successful task.
gpt-5.3-chat-latest 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-5.3-chat-latest 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-5.3-chat-latest is cheaper than 19% of models on input price and ranks #487 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.
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HotON.ai — gpt-5.3-chat-latest (OpenAI): $1.75/1M input, $14.00/1M output, as of 2026-05-10. https://hoton.ai/en/models/openai-gpt-5-3-chat-latestPricing 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.