qwen
GPT-3.5 Turbo vs Qwen3.6 Plus
68.9 overall · $0.731 / 1M
// openai
GPT-3.5 Turbo
openai/gpt-3.5-turbo
tool calling
GPT-3.5 Turbo costs $0.500 per 1M input tokens and $1.50 per 1M output tokens with a 16K-token context window.
A tool-calling model from openai, released May 28, 2023. LiveBench hasn't published a run for it, so this page carries measured price and specs only — no benchmark numbers.
- Input / 1M
- $0.500
- Output / 1M
- $1.50
- Context
- 16K
- LiveBench overall
- Not evaluated
Specs and pricing
| Input price USD per 1M prompt tokens | $0.500 |
|---|---|
| Output price USD per 1M completion tokens, reasoning included | $1.50 |
| Blended price 3:1 input:output — #165 most expensive of 343 listed models | $0.750 |
| Cached input read Blank means not priced separately — not free | — |
| Cache write | — |
| Context window | 16,385 tokens |
| Max output | 4,096 tokens |
| Input modalities | text |
| Tool calling | Yes |
| Extended reasoning | No |
| Knowledge cutoff | 2021-09-30 |
| Listed | May 28, 2023 |
Also listed as openai/gpt-3.5-turbo:batch ($0.375 blended)— the same model at a different price or rate limit.
What GPT-3.5 Turbo costs to run
Monthly list cost across five workload shapes, using the published cached-input rate where there is one. A floor, not a quote — batch discounts and cache writes aren't included.
| Workload | Per month |
|---|---|
| Support chatbot 1.2K in / 400 out × 200K requests | $240.00/mo |
| RAG assistant 8K in / 600 out × 100K requests | $490.00/mo |
| Coding agent 40K in / 4K out × 20K requests | $520.00/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $612.50/mo |
| Bulk classification 500 in / 20 out × 5M requests | $1,400/mo |
Compare GPT-3.5 Turbo with
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GPT-3.5 Turbo vs Qwen3.6 27B
64.0 overall · $0.915 / 1M
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GPT-3.5 Turbo vs DeepSeek V4 Pro 0813
77.4 overall · $0.990 / 1M
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GPT-3.5 Turbo vs GLM 5.2
73.2 overall · $0.998 / 1M
GPT-3.5 Turbo FAQ
How much does GPT-3.5 Turbo cost?
GPT-3.5 Turbo lists at $0.500 per 1M input tokens and $1.50 per 1M output tokens. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $490.00 at list price.
What is the context window of GPT-3.5 Turbo?
GPT-3.5 Turbo accepts up to 16,385 tokens of context and can return up to 4,096 output tokens per response.
Does GPT-3.5 Turbo support tool calling?
Yes — GPT-3.5 Turbo supports tool (function) calling. It accepts text input.
How does GPT-3.5 Turbo score on benchmarks?
LiveBench has not published a run for GPT-3.5 Turbo yet. Until it does, compare it on price and specs, or run your own evaluation on your own tasks.
What is the API model ID for GPT-3.5 Turbo?
On OpenRouter the model ID is "openai/gpt-3.5-turbo". It was listed on May 28, 2023.
More from openai
How these numbers are produced
- Price and specs — provider list data from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
- Scores and ranks — LiveBench release 2026-06-25. Ranks count only models that have a published run; a blank means “not evaluated”, never “bad”.
- Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.