Analysis Summary
GPT-3.5 Turbo is an earlier OpenAI text model with tool use and function calling, a 16K context window, and listed input and output prices below those of the GPT-4 models in this batch. Its measured intelligence and coding results indicate limited capability relative to current production models.
It can still serve simple text transformations, drafts, and low-risk automations where an established interface and low token costs matter more than reasoning depth. The available data lists no vision support, and the context window is modest for lengthy client documents. Tool access does not offset its limited measured capability for complex agent workflows.
Use it only for constrained, inexpensive tasks with review and fallback paths. For consequential client content, complex instructions, or coding, a newer benchmarked model is a safer choice.
Assessed September 23, 2026
Editorial notes
GPT-3.5 Turbo offers basic text generation with tool use and function calling, plus a 16K context window at modest listed prices. Its measured reasoning and coding capability is limited by current standards.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
GPT-3.5 Turbo offers basic text generation with tool use and function calling, plus a 16K context window at modest listed prices. Its measured reasoning and coding capability is limited by current standards.
Benchmarks
Artificial Analysis data refreshed Oct 8, 2026. Arena ratings from the Oct 2, 2026 text leaderboard, with style control.
How OpenAI: GPT-3.5 Turbo compares
OpenAI: GPT-3.5 Turbo ranks #372 of 435 AI models we track for overall intelligence, #166 of 198 for coding. Its 16K-token context window is larger than 22% of the models we list. At $0.50 per million input tokens it is cheaper than 35% 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.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.50 | $0.000500 |
| Output | $1.50 | $0.001500 |
What would OpenAI: GPT-3.5 Turbo 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 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: GPT-3.5 Turbo
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.
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Frequently asked questions about OpenAI: GPT-3.5 Turbo
How much does OpenAI: GPT-3.5 Turbo cost?
OpenAI: GPT-3.5 Turbo costs $0.50 per million input tokens and $1.50 per million output tokens.
What is the context window of OpenAI: GPT-3.5 Turbo?
OpenAI: GPT-3.5 Turbo has a context window of 16,385 tokens (16K).
Is OpenAI: GPT-3.5 Turbo good for coding?
On our coding benchmark index, OpenAI: GPT-3.5 Turbo ranks #166 of 198 models, placing it in the broader range of the field for code generation and debugging.
What can OpenAI: GPT-3.5 Turbo do?
OpenAI: GPT-3.5 Turbo supports tool use and function calling.
Who created OpenAI: GPT-3.5 Turbo?
OpenAI: GPT-3.5 Turbo is developed by OpenAI and was released on May 28, 2023.
Benchmarks from Artificial Analysis, pricing from the OpenRouter API, and verdicts from our own testing.
Last updated: October 8, 2026 8:39 pm