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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.
GPT-4o mini is OpenAI's newest model after GPT-4 Omni, supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...
gpt-4o-mini-2024-07-18 is a Multimodal model from OpenAI (US). HotON.ai tracks it at $0.15 per 1M input tokens and $0.60 per 1M output tokens, with a 128K-token context window. Its composite efficiency score is 89/100 at an estimated $0.001 per successful task.
gpt-4o-mini-2024-07-18 is tracked at $0.15 per 1M input tokens and $0.60 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.49 per 1M tokens. Figures are illustrative demo data.
Mixed text, image, audio and document workloads that benefit from one model across modalities.
gpt-4o-mini-2024-07-18 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-mini-2024-07-18 is cheaper than 70% of models on input price and ranks #158 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-mini-2024-07-18 (OpenAI): $0.15/1M input, $0.60/1M output, as of 2026-04-28. https://hoton.ai/en/models/openai-gpt-4o-mini-2024-07-18Pricing 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.