TokenRate

GPT-3.5 Turbo Pricing

Fast

OpenAI · 16K tokens context

GPT-3.5 Turbo from OpenAI costs $0.500 per 1 million input tokens and $1.50 per 1 million output tokens as of May 2026 (live OpenRouter data). The model supports a 16,385-token context window (approximately 12,289 words) with a 4K-token maximum output. A typical 1,000-token request costs $0.0005 in input charges; a 10,000-token request costs $0.0050.

GPT-3.5 Turbo pricing and capability summary
Input price$0.500 / 1M tokens
Output price$1.50 / 1M tokens
Output / input ratio3.0×
Context window16,385 tokens (~12,289 words)
Maximum output4,096 tokens
Cost per 1K tokens (input)$0.0005
TierFast
Last verified

GPT-3.5 Turbo is the previous workhorse model from OpenAI. Cheap and fast, but generally outclassed by GPT-4o mini at similar or lower price points. Still common in legacy integrations.

Live pricing from OpenRouter

Input Price

$0.500

per 1 million tokens

Output Price

$1.50

per 1 million tokens

Context Window

16K tokens

max 4K output

Cost Examples

Request TypeTokensInput CostOutput Cost
1,000 word article1,333$0.000666$0.0006
10-page document (2,500 words)3,333$0.00167$0.0015
1,000 lines of code5,000$0.0025$0.00225
100K token document100,000$0.05$0.045

Output cost estimated at 30% of input token count. Use the calculator for exact figures.

Strengths

  • Very low cost
  • Fast response time
  • Huge ecosystem of tooling and prompts

Limitations

  • Outperformed by GPT-4o mini at lower cost
  • Small 16K context
  • Weaker reasoning

Best Use Cases

Legacy chatbots
Simple completion tasks
Comparison benchmarks

Calculate GPT-3.5 Turbo Costs

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GPT-3.5 Turbo — FAQ

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