GPT-3.5 Turbo 16k pricing and routing profile
GPT-3.5 Turbo 16k from OpenAI lists at $3.00 per million input tokens and $4.00 per million output tokens, with a 16,385-token context window. Prices from OpenRouter's catalogue on 2026-09-28.
Tool callingStructured outputLog probabilities
Cost per 1,000 requests
| Request shape | List cost |
|---|---|
| Classification or routing (600 tokens in, 10 out) | $1.84 |
| Chat reply (2,000 in, 400 out) | $7.60 |
| Retrieval-augmented answer (8,000 in, 500 out) | $26.00 |
Before prompt caching. Try your own shape in the cost calculator.
Can Gimbix route to it first?
Yes. At least one host return token log probabilities for GPT-3.5 Turbo 16k, which is the confidence signal Gimbix uses to let a cheaper model answer first.
Cheaper models that can answer first
Models priced below GPT-3.5 Turbo 16k that expose a confidence signal. Whether they answer your traffic as well is what a Gimbix pilot measures.
| Model | Input / output per 1M | Cheaper on a chat reply |
|---|---|---|
| GPT-5 Image Mini | $2.50 / $2.00 | 24% |
| Grok 4.3 | $1.25 / $2.50 | 54% |
| Grok 4.20 Multi-Agent | $1.25 / $2.50 | 54% |
| Grok 4.20 | $1.25 / $2.50 | 54% |
| Qwen3 Max Thinking | $0.78 / $3.90 | 59% |
| Qwen3 Max | $0.78 / $3.90 | 59% |
Questions
How much does GPT-3.5 Turbo 16k cost?
GPT-3.5 Turbo 16k lists at $3.00 per million input tokens and $4.00 per million output tokens on OpenRouter as of 2026-09-28. A typical chat reply of 2,000 input and 400 output tokens costs about $7.60 per 1,000 requests.
What is the context window of GPT-3.5 Turbo 16k?
16,385 tokens.
Can a cheaper model replace GPT-3.5 Turbo 16k?
Sometimes. Gimbix proves it on your own traffic before routing: the cheaper model must match GPT-3.5 Turbo 16k on one half of your requests and make at most three answers worse on the other.