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Daily blended price ($/1M) — recorded each day, builds into a trend over time.
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.
The 2024-08-06 version of GPT-4o offers improved performance in structured outputs, with the ability to supply a JSON schema in the respone_format. Read more here. GPT-4o ("o" for "omni") is...
gpt-4o-2024-08-06 is a Multimodal model from OpenAI (US). HotON.ai tracks it at $2.50 per 1M input tokens and $10.00 per 1M output tokens, with a 128K-token context window. Its composite efficiency score is 85/100 at an estimated $0.010 per successful task.
gpt-4o-2024-08-06 is tracked at $2.50 per 1M input tokens and $10.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $8.13 per 1M tokens. Figures are illustrative demo data.
Mixed text, image, audio and document workloads that benefit from one model across modalities.
gpt-4o-2024-08-06 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-4o-2024-08-06 is cheaper than 12% of models on input price and ranks #466 of 535 by overall efficiency.
Yes — grok-4-fast is a lower-cost option at $0.50 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-4o-2024-08-06 (OpenAI): $2.50/1M input, $10.00/1M output, as of 2026-04-28. https://hoton.ai/en/models/openai-gpt-4o-2024-08-06Pricing 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.