Analysis Summary
GPT-3.5 Turbo is a lightweight OpenAI text model with tool use, function calling, and a 16,385-token context window. Its listed price of $0.25 per million input tokens and $0.75 per million output tokens makes it attractive for high-volume, low-complexity generation. No benchmark results are supplied for this batch variant, so it should not be treated as a measured high-capability system.
It fits simple classification, short summaries, metadata drafting, templated SEO work, and basic customer-service automation. The text-only interface excludes image review, and the smaller context window is restrictive for long briefs, codebases, and document-heavy workflows. More demanding instruction following, nuanced brand voice, and multi-step reasoning should be routed elsewhere.
Use it as a budget utility model for predictable routine traffic, not as the primary model for client-facing strategic content.
Assessed August 9, 2026
Editorial notes
GPT-3.5 Turbo offers very low-cost text generation with function calling and a familiar API. Its 16K context, text-only modality, and lack of benchmark data make it a routine automation choice rather than a reasoning model.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
GPT-3.5 Turbo offers very low-cost text generation with function calling and a familiar API. Its 16K context, text-only modality, and lack of benchmark data make it a routine automation choice rather than a reasoning model.
How OpenAI: GPT-3.5 Turbo (batch) compares
Its 16K-token context window is larger than 21% of the models we list. At $0.25 per million input tokens it is cheaper than 52% 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 748 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 3, 2026 8:38 pm