OpenAIGPT-3.5 Turbo pricing
$0.50 per 1M input tokens and $1.50 per 1M output tokens. In real work that is 0.18¢ per chat answer and 0.73¢ to summarize a 20-page PDF.
What GPT-3.5 Turbo costs per task
Token counts estimated from a measured model of the same lab (GPT-6 Luna), rescaled by tokenizer. Reasoning tokens are billed as output.
| Task | Cost | Tokens used | Price rank | Basis |
|---|---|---|---|---|
| Answer a chat question | 0.18¢$1.79 / 1,000 | 45 in · 540 out · 639 reasoning | 150 of 336 | estimated |
| Reply to a customer email | 0.03¢$0.27 / 1,000 | 258 in · 94 out | 73 of 336 | estimated |
| Write a 1,500-word blog post | 0.36¢$3.57 / 1,000 | 59 in · 2,217 out · 143 reasoning | 102 of 336 | estimated |
| Write 10 product descriptions | 0.17¢$1.67 / 1,000 | 283 in · 987 out · 34 reasoning | 54 of 336 | estimated |
| Translate 1,000 words | 0.28¢$2.76 / 1,000 | 1,330 in · 1,328 out · 67 reasoning | 116 of 336 | estimated |
| Proofread one page (500 words) | 0.15¢$1.49 / 1,000 | 718 in · 664 out · 91 reasoning | 121 of 336 | estimated |
| Summarize a 20-page PDF | 0.73¢$7.29 / 1,000 | 12,987 in · 449 out · 84 reasoning | 161 of 336 | estimated |
| Extract data from an invoice | 0.10¢$1.03 / 1,000 | 373 in · 422 out · 140 reasoning | 102 of 336 | estimated |
| Analyze a 200-row spreadsheet | 0.66¢$6.58 / 1,000 | 4,779 in · 456 out · 2,338 reasoning | 82 of 336 | estimated |
| Answer from 5 retrieved documents (RAG) | 0.24¢$2.35 / 1,000 | 3,690 in · 234 out · 104 reasoning | 108 of 336 | estimated |
| Classify 100 support tickets | 0.22¢$2.18 / 1,000 | 1,261 in · 445 out · 590 reasoning | 75 of 336 | estimated |
| Review 500 lines of code | 1.0¢$10.17 / 1,000 | 4,557 in · 337 out · 4,921 reasoning | 151 of 336 | estimated |
| Write a SQL query | 0.12¢$1.24 / 1,000 | 126 in · 266 out · 516 reasoning | 120 of 336 | estimated |
| Run a 50-step coding agent | $1.15$1,152 / 1,000 | 2,237,500 in · 15,000 out · 7,000 reasoning | 242 of 336 | modeled |
Price at every provider
List prices per 1M tokens (input / output) at each host serving GPT-3.5 Turbo through OpenRouter today. Hosts can differ in quantization, context and speed.
| Provider | Input / output | Cached input | Context | Uptime |
|---|---|---|---|---|
OpenAIunknown | $0.50 / $1.50 | - | 16K | 100% |
Price history
First seen in our price history on Mar 26, 2024 at $1.00 input / $2.00 output. Since then the output price moved from $2.00 to $1.50 per 1M tokens (1 change).
FAQ
How much does GPT-3.5 Turbo cost?
GPT-3.5 Turbo costs $0.50 per 1 million input tokens and $1.50 per 1 million output tokens (list price on Oct 18, 2026). In practice one chat answer costs about 0.18¢ and summarizing a 20-page PDF about 0.73¢.
Where is GPT-3.5 Turbo cheapest?
Among 1 providers we track, the lowest list price today is at OpenAI: $0.50 input and $1.50 output per 1M tokens.
Is the GPT-3.5 Turbo cost per task measured or estimated?
Estimated: GPT-3.5 Turbo was not run directly. Tokens come from GPT-6 Luna and are rescaled by the tokenizer of OpenAI. Real usage can differ.