OpenAI: GPT-3.5 Turbo Instruct
GPT-3.5 Turbo Instruct from OpenAI is designed for text-based interactions with a context length of 4095 tokens and can generate up to 3685 completion tokens in response. While it excels at handling text inputs, it does not support tools, reasoning processes, or structured output formats. Given its current benchmark coverage of zero, there's no independent evaluation of its performance yet. Considering its pricing model-$1.5 per million input tokens and $2.0 per million output tokens-it might be more suitable for projects with moderate token requirements where cost is a primary concern. However, due to the lack of benchmark data, users should proceed with cautious optimism, especially if detailed performance metrics are crucial.
- Model ID
- openai/gpt-3.5-turbo-instruct
- Vendor
- openai
- Released
- September 2023
- Tokenizer
- GPT
- Input Modalities
- text
- Output Modalities
- text
- Max Output
- 3,685 tokens
- Tool Calling
- not supported
- Structured Output
- ✓ supported
- Reasoning Mode
- not supported
- Vision
- text only
- Audio
- no
- Moderated
- yes
What it costs in practice
Computed from the current $1.50/M input and $2.00/M output rates. Run your own numbers →
| Job | Tokens | Cost |
|---|---|---|
| Summarize a 50-page report | 30k in / 1.5k out | $0.05 |
| Classify 1,000 customer emails | 500k in / 50k out | $0.85 |
| A month of a busy support chatbot | 5M in / 2M out | $11.50 |
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Quick answers
- How much does OpenAI: GPT-3.5 Turbo Instruct cost?
- $1.50 per million input tokens and $2.00 per million output tokens.
- What is OpenAI: GPT-3.5 Turbo Instruct's context window?
- 4,095 tokens, roughly 6 pages of text in a single request.
- Does OpenAI: GPT-3.5 Turbo Instruct support tool calling?
- It supports structured output.
- Can OpenAI: GPT-3.5 Turbo Instruct process images?
- No, it is text-only on the input side.