Analysis Summary
GPT-3.5 Turbo 16k is a text-only legacy model with a 16K context window, tool use, and function calling. The expanded context is helpful for longer prompts and structured operations, but no benchmark data is available in this record. Its pricing is also materially higher than the standard GPT-3.5 Turbo entry, reducing its appeal for volume workloads.
It can remain useful in existing integrations that need simple function calls or moderately sized inputs. Suitable tasks include routing, basic extraction, and predictable content transformations with validation. It is not a preferred choice for nuanced copy, coding, long-document reasoning, or autonomous agents. New client workflows should be tested against newer and better-priced alternatives.
Assessed August 9, 2026
Editorial notes
GPT-3.5 Turbo 16k adds a useful 16K context window, tool use, and function calling, but it has no benchmark data here and carries higher pricing than the standard variant. It is mainly a legacy automation choice.
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DFO Verdict
GPT-3.5 Turbo 16k adds a useful 16K context window, tool use, and function calling, but it has no benchmark data here and carries higher pricing than the standard variant. It is mainly a legacy automation choice.
How OpenAI: GPT-3.5 Turbo 16k compares
Its 16K-token context window is larger than 23% of the models we list. At $3.00 per million input tokens it is cheaper than 11% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $3.00 | $0.003000 |
| Output | $4.00 | $0.004000 |
What would OpenAI: GPT-3.5 Turbo 16k cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: GPT-3.5 Turbo 16k for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: GPT-3.5 Turbo 16k
This model offers four times the context length of gpt-3.5-turbo, allowing it to support approximately 20 pages of text in a single request at a higher cost. Training data: up..
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Frequently asked questions about OpenAI: GPT-3.5 Turbo 16k
How much does OpenAI: GPT-3.5 Turbo 16k cost?
OpenAI: GPT-3.5 Turbo 16k costs $3.00 per million input tokens and $4.00 per million output tokens.
What is the context window of OpenAI: GPT-3.5 Turbo 16k?
OpenAI: GPT-3.5 Turbo 16k has a context window of 16,385 tokens (16K).
What can OpenAI: GPT-3.5 Turbo 16k do?
OpenAI: GPT-3.5 Turbo 16k supports tool use and function calling.
Who created OpenAI: GPT-3.5 Turbo 16k?
OpenAI: GPT-3.5 Turbo 16k is developed by OpenAI and was released on August 28, 2023.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: August 10, 2026 8:38 pm