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GPT-3.5 Turbo pricing and routing profile

GPT-3.5 Turbo from OpenAI lists at $0.50 per million input tokens and $1.50 per million output tokens, with a 16,385-token context window. Prices from OpenRouter's catalogue on 2026-09-28.

Input, per 1M tokens$0.50
Output, per 1M tokens$1.50
Context window16K
Confidence signalAvailable

Tool callingStructured outputLog probabilities

Cost per 1,000 requests

Request shapeList cost
Classification or routing (600 tokens in, 10 out)$0.315
Chat reply (2,000 in, 400 out)$1.60
Retrieval-augmented answer (8,000 in, 500 out)$4.75

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, 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 that expose a confidence signal. Whether they answer your traffic as well is what a Gimbix pilot measures.

ModelInput / output per 1MCheaper on a chat reply
DeepSeek V4 Flash Vision Exp$0.44 / $1.3212%
MiMo-V2.5-Pro$0.435 / $0.8724%
Qwen3.7 Plus$0.32 / $1.2828%
Muse Glimmer 30B$0.30 / $1.2032%
MiniMax M3$0.30 / $1.2032%
MiniMax M2.7$0.30 / $1.2032%

Questions

How much does GPT-3.5 Turbo cost?

GPT-3.5 Turbo lists at $0.50 per million input tokens and $1.50 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 $1.60 per 1,000 requests.

What is the context window of GPT-3.5 Turbo?

16,385 tokens.

Can a cheaper model replace GPT-3.5 Turbo?

Sometimes. Gimbix proves it on your own traffic before routing: the cheaper model must match GPT-3.5 Turbo on one half of your requests and make at most three answers worse on the other.