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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.
GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.
gpt-3.5-turbo-0613 is a Text model from OpenAI (US). HotON.ai tracks it at $1.00 per 1M input tokens and $2.00 per 1M output tokens, with a 4K-token context window. Its composite efficiency score is 87/100 at an estimated $0.003 per successful task.
gpt-3.5-turbo-0613 is tracked at $1.00 per 1M input tokens and $2.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $1.75 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-0613 supports up to a 4K-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-0613 is cheaper than 28% of models on input price and ranks #440 of 535 by overall efficiency.
Yes — minimax-m2.1 is a lower-cost option at $0.95 per 1M output tokens, while still covering similar Text use cases. Compare them side by side on HotON.ai.
Ready to paste into articles, papers or AI prompts — prices and date refresh with the live data.
HotON.ai — gpt-3.5-turbo-0613 (OpenAI): $1.00/1M input, $2.00/1M output, as of 2026-04-28. https://hoton.ai/en/models/openai-gpt-3-5-turbo-0613Pricing 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.