OpenAI: GPT-3.5 Turbo (batch)
GPT-3.5 Turbo (batch) from OpenAI is designed for handling text inputs with an impressive context length of 16,385 tokens and supports integration with external tools. However, it does not natively support complex reasoning or structured output. This model excels in processing large volumes of text but lacks the ability to perform sophisticated logical deductions or generate highly structured outputs like JSON or tables. Given its pricing at $0.25 per million input tokens and $0.75 per million output tokens, GPT-3.5 Turbo is more suited for projects where cost efficiency is a priority and complex reasoning isn't required. Due to the lack of independent benchmark coverage, users should carefully consider their specific needs before shortlisting this model.
- Model ID
- openai/gpt-3.5-turbo:batch
- Vendor
- openai
- Released
- May 2023
- Tokenizer
- GPT
- Input Modalities
- text
- Output Modalities
- text
- Max Output
- 4,096 tokens
- Tool Calling
- ✓ supported
- Structured Output
- ✓ supported
- Reasoning Mode
- not supported
- Vision
- text only
- Audio
- no
- Moderated
- yes
What it costs in practice
Computed from the current $0.25/M input and $0.75/M output rates. Run your own numbers →
| Job | Tokens | Cost |
|---|---|---|
| Summarize a 50-page report | 30k in / 1.5k out | under $0.01 |
| Classify 1,000 customer emails | 500k in / 50k out | $0.16 |
| A month of a busy support chatbot | 5M in / 2M out | $2.75 |
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Quick answers
- How much does OpenAI: GPT-3.5 Turbo (batch) cost?
- $0.25 per million input tokens and $0.75 per million output tokens.
- What is OpenAI: GPT-3.5 Turbo (batch)'s context window?
- 16,385 tokens, roughly 24 pages of text in a single request.
- Does OpenAI: GPT-3.5 Turbo (batch) support tool calling?
- It supports tool calling, structured output.
- Can OpenAI: GPT-3.5 Turbo (batch) process images?
- No, it is text-only on the input side.