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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 2026-05-10 · Source: openai_official_pricing
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
Pinned OpenAI GPT-3.5 Turbo 0125 snapshot retained for exact legacy model-id compatibility.
gpt-3.5-turbo-0125 is a Text model from OpenAI (US). HotON.ai tracks it at $0.50 per 1M input tokens and $1.50 per 1M output tokens, with a 16K-token context window. Its composite efficiency score is 88/100 at an estimated $0.002 per successful task.
gpt-3.5-turbo-0125 is tracked at $0.50 per 1M input tokens and $1.50 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $1.25 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-3.5-turbo-0125 supports up to a 16K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, gpt-3.5-turbo-0125 is cheaper than 44% of models on input price and ranks #295 of 537 by overall efficiency.
Yes — qwen-plus is a lower-cost option at $0.78 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-3.5-turbo-0125 (OpenAI): $0.50/1M input, $1.50/1M output, as of 2026-05-10. https://hoton.ai/en/models/openai-gpt-3-5-turbo-0125Pricing 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.