Analysis Summary
GPT-3.5 Turbo is an older OpenAI text model with a 16K context window, tool use, and function calling. Its low pricing can still be useful for simple classification, routing, short transformations, and tightly templated responses.
The limited context and lack of model-specific benchmark data in the supplied record make it a poor choice for long documents, nuanced client content, coding, or multi-step agents. Instruction precision and output consistency should be checked carefully before exposing it to customer-facing work. Newer low-cost models offer a stronger starting point for most fresh deployments.
Keep it only for legacy or highly constrained workloads where simplicity and low token cost are the primary requirements.
Assessed September 7, 2026
Editorial notes
GPT-3.5 Turbo is inexpensive and supports tool and function calling, but its 16K context window and older capability profile limit it to simple, low-risk automation and short-form generation.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
GPT-3.5 Turbo is inexpensive and supports tool and function calling, but its 16K context window and older capability profile limit it to simple, low-risk automation and short-form generation.
How OpenAI: GPT-3.5 Turbo (batch) compares
Its 16K-token context window is larger than 20% of the models we list. At $0.25 per million input tokens it is cheaper than 51% 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 | $0.25 | $0.000250 |
| Output | $0.75 | $0.000750 |
What would OpenAI: GPT-3.5 Turbo (batch) cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 779 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: GPT-3.5 Turbo (batch) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: GPT-3.5 Turbo (batch)
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.
Explore Related Models
Frequently asked questions about OpenAI: GPT-3.5 Turbo (batch)
How much does OpenAI: GPT-3.5 Turbo (batch) cost?
OpenAI: GPT-3.5 Turbo (batch) costs $0.25 per million input tokens and $0.75 per million output tokens.
What is the context window of OpenAI: GPT-3.5 Turbo (batch)?
OpenAI: GPT-3.5 Turbo (batch) has a context window of 16,385 tokens (16K).
What can OpenAI: GPT-3.5 Turbo (batch) do?
OpenAI: GPT-3.5 Turbo (batch) supports tool use and function calling.
Who created OpenAI: GPT-3.5 Turbo (batch)?
OpenAI: GPT-3.5 Turbo (batch) is developed by OpenAI and was released on May 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: September 18, 2026 8:38 pm