GPT-3.5-turbo pricing, context window and limits
GPT-3.5-turbo costs $0.5 per million input tokens and $1.5 per million output tokens at OpenAI list price. It accepts up to 16,385 tokens of context and returns up to 4,096 tokens.
- Model id
gpt-3.5-turbo - Snapshot
What does GPT-3.5-turbo cost?
| Input | $0.5 |
|---|---|
| Output | $1.5 |
| Cached input (read) | $0 |
| Cache write | — |
US dollars per million tokens. A dash means no price is published.
How much can GPT-3.5-turbo read and write?
| Context window | 16,385 |
|---|---|
| Max output | 4,096 |
What can GPT-3.5-turbo do?
| Vision (image input) | No |
|---|---|
| Tool calling | No |
| Structured output | No |
| Reasoning | No |
| Input | text |
| Output | text |
What does a request to GPT-3.5-turbo cost?
| A typical request: 1,000 tokens in, 500 out | $0.0013 |
|---|---|
| A long request: 10,000 tokens in, 1,000 out | $0.0065 |
| 1,000 typical requests | $1.25 |
| 1 million tokens in and 1 million out | $2 |
Input read from the provider's prompt cache costs $0 per million tokens instead of $0.5, 100% less. A request that repeats a 1,000-token prompt from the cache costs $0.00075 instead of $0.0013.
Among 49 OpenAI models with a published price, GPT-3.5-turbo is the 12th cheapest by input price. Its context window is the 44th largest of 48. List prices only; discounts, batch prices and prices above 200K tokens are not shown.
How do I call GPT-3.5-turbo through DVARA?
Configure the openai provider in the DVARA LLM Gateway and send the model id gpt-3.5-turbo. DVARA, the AI governance platform, applies your policies, audit and cost attribution to the call. See LLM cost attribution and budgets.
In DVARA, if you haven't set your own price for a model, its calls are costed at the price in the catalogue that ships with your DVARA version. A price you set in Flightdeck always wins. You can switch catalogue prices off. Then a model with no price you set is counted as costing nothing. Every cost record says which price it used.
What should I check before relying on this data?
The weekly review marked this entry. A person saw each mark and kept the model listed.
- The cached-input price is outside the usual 10–50% of the input price.
Which other OpenAI models are there?
- GPT-4$30 in · $60 out · 8K context
- GPT-4 Turbo$10 in · $30 out · 128K context
- GPT-4.1$2 in · $8 out · 1.05M context
- GPT-4.1 mini$0.4 in · $1.6 out · 1.05M context
- GPT-4.1 nano$0.1 in · $0.4 out · 1.05M context
- GPT-4o$2.5 in · $10 out · 128K context
- GPT-4o (2024-05-13)$5 in · $15 out · 128K context
- GPT-4o (2024-08-06)$2.5 in · $10 out · 128K context
- GPT-4o (2024-11-20)$2.5 in · $10 out · 128K context
- GPT-4o mini$0.15 in · $0.6 out · 128K context
- GPT-5$1.25 in · $10 out · 400K context
- GPT-5 Mini$0.25 in · $2 out · 400K context
Which models from other providers are similar to GPT-3.5-turbo?
These are the closest in context window and input price, one per provider.
- Qwen-MT PlusAlibaba Qwen · $0.259 in · $0.775 out · 16K context
- Gemini 2.5 Flash Preview TTSGoogle Gemini · $0.5 in · $10 out · 8K context
- Mixtral 8x7BMistral AI · $0.7 in · $0.7 out · 32K context
- GLM-4.5VZhipu GLM · $0.6 in · $1.8 out · 64K context
- Qwen3 32BAmazon Bedrock · $0.15 in · $0.6 out · 33K context