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OpenAI: GPT-3.5 Turbo (older v0613) pricing

GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021. OpenAI: GPT-3.5 Turbo (older v0613) from OpenRouter costs $1.00 per 1M input tokens and $2.00 per 1M output tokens. Context window 4,095 tokens.

API id openai/gpt-3.5-turbo-0613 · OpenRouter · source · updated 2026-09-25 · general-purpose

$1.00
Input / 1M tokens
$2.00
Output / 1M tokens
—
Cached input / 1M
4K
Context window

OpenAI: GPT-3.5 Turbo (older v0613) specifications

Provider
OpenRouter
API id
openai/gpt-3.5-turbo-0613
Model type
general-purpose
Context window
4K tokens
Max output
4K tokens
Currency
USD
Price source
Provider API
Last checked
2026-09-25

Tags

  • fast

What OpenAI: GPT-3.5 Turbo (older v0613) costs in practice

Estimated cost at common usage volumes
WorkloadInput tokensOutput tokensEstimated cost
Short chat turn1,000500$0.0020
Document summary50,0002,000$0.05
1M tokens in, 200K out1,000,000200,000$1.40

Estimates use the standard tier and ignore caching discounts, so real bills with repeated prompt prefixes are typically lower.

Common questions

How much does OpenAI: GPT-3.5 Turbo (older v0613) cost per 1M tokens?
OpenAI: GPT-3.5 Turbo (older v0613) costs $1.00 per 1M input tokens and $2.00 per 1M output tokens on the standard tier.
What is OpenAI: GPT-3.5 Turbo (older v0613)'s context window?
OpenAI: GPT-3.5 Turbo (older v0613) accepts up to 4,095 tokens in a single request, and can return up to 3,685 output tokens.
Is there a cheaper OpenRouter model than OpenAI: GPT-3.5 Turbo (older v0613)?
Yes. OpenAI: GPT-3.5 Turbo is $0.500 per 1M input tokens versus $1.00 for OpenAI: GPT-3.5 Turbo (older v0613), with a 16,385 token context window.
Where does this OpenAI: GPT-3.5 Turbo (older v0613) price come from?
From the OpenRouter catalogue, because OpenRouter does not publish machine-readable pricing. OpenRouter is a reseller, so its rate can differ from OpenRouter's own — verify before committing spend.

Head-to-head comparisons

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