OpenAI: GPT-3.5 Turbo Instruct
Review
GPT-3.5 Turbo Instruct is an outdated legacy model with no benchmark data, a very small 4K context window, and no tool-use support — it is not suitable for modern business applications and has been superseded by many generations of newer models.
Assessment date: April 16, 2026
Our methodology takes into account a range of factors including pricing, functionality, capabilities, benchmark performance, and real-world applicability. Rankings are reviewed and updated regularly as new models are released. Issues with our rankings? Contact us
Performance Profile
This model is a variant of GPT-3.5 Turbo tuned for instructional prompts and omitting chat-related optimizations. Training data: up to Sep 2021.
Architecture
| Modality | Text → Text |
| Tokenizer | GPT |
| Instruct Type | chatml |
How does OpenAI: GPT-3.5 Turbo Instruct stack up?
Compare side-by-side with other legacy models.
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $1.50 | $0.001500 |
| Output | $2.00 | $0.002000 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
External Resources
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Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: April 16, 2026 8:54 pm