OpenAI: GPT-3.5 Turbo 16k
GPT-3.5 Turbo 16k is a text-only model from OpenAI with a 16,385-token context window and a 4,096-token output cap. It supports tool use, which makes it usable in agentic pipelines, but it does not support reasoning modes and structured output availability is unconfirmed. Input is limited to text, so tasks involving images or other modalities require a different model. At $3.00 per million input tokens and $4.00 per million output tokens, it sits in a mid-range price bracket for established models. There is currently no independent benchmark coverage to validate its performance against peers, so quality claims are unproven on third-party measures. Teams that already rely on OpenAI tooling and need a longer context window than the base GPT-3.5 offers may find it a practical fit, but buyers prioritizing verified benchmark standings should weigh that gap carefully before committing.
- Model ID
- openai/gpt-3.5-turbo-16k
- Vendor
- openai
- Released
- August 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
- no
What it costs in practice
Computed from the current $3.00/M input and $4.00/M output rates. Run your own numbers →
| Job | Tokens | Cost |
|---|---|---|
| Summarize a 50-page report | 30k in / 1.5k out | $0.10 |
| Classify 1,000 customer emails | 500k in / 50k out | $1.70 |
| A month of a busy support chatbot | 5M in / 2M out | $23.00 |
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Quick answers
- How much does OpenAI: GPT-3.5 Turbo 16k cost?
- $3.00 per million input tokens and $4.00 per million output tokens.
- What is OpenAI: GPT-3.5 Turbo 16k's context window?
- 16,385 tokens, roughly 24 pages of text in a single request.
- Does OpenAI: GPT-3.5 Turbo 16k support tool calling?
- It supports tool calling, structured output.
- Can OpenAI: GPT-3.5 Turbo 16k process images?
- No, it is text-only on the input side.