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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
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to April 2023.
gpt-4-1106-preview is a Text model from OpenAI (US). HotON.ai tracks it at $10.00 per 1M input tokens and $30.00 per 1M output tokens, with a 128K-token context window. Its composite efficiency score is 75/100 at an estimated $0.035 per successful task.
gpt-4-1106-preview is tracked at $10.00 per 1M input tokens and $30.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $25.00 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-4-1106-preview 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-4-1106-preview is cheaper than 3% of models on input price and ranks #531 of 537 by overall efficiency.
Yes — minimax-m2 is a lower-cost option at $1.00 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-4-1106-preview (OpenAI): $10.00/1M input, $30.00/1M output, as of 2026-04-28. https://hoton.ai/en/models/openai-gpt-4-1106-previewPricing 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.