GPT-3.5 Turbo vs GPT-4
Detailed pricing comparison and cost analysis.
Updated September 2026
Cost Simulator
| Feature | GPT-3.5 Turbo | GPT-4 |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Input Price (1M) | $0.50 | $30.00 |
| Output Price (1M) | $1.50 | $60.00 |
| Context Window | 16,385 | 8,192 |
Verdict
GPT-3.5 Turbo costs $0.50 per 1M input tokens and $1.50 per 1M output tokens. GPT-4 costs $30.00 per 1M input tokens and $60.00 per 1M output tokens. GPT-3.5 Turbo is 98% cheaper on input tokens than GPT-4. For output tokens, GPT-3.5 Turbo is the more affordable option at $1.50/1M vs $60.00.
On context window, GPT-3.5 Turbo supports 16,385 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose GPT-3.5 Turbo
- ✓ You need the lowest input token cost ($ 0.50/1M)
- ✓ Your workload is output-heavy — GPT-3.5 Turbo generates text cheaper
- ✓ You need a larger context window (16,385 tokens)
- ✓ You are already integrated with OpenAI
When to choose GPT-4
- ✓ You are already integrated with OpenAI
Use the calculator above to simulate your specific workload and find the exact break-even point. For most applications, the cheapest model is the one that minimises your total monthly bill given your input-to-output token ratio.
Frequently Asked Questions
Is GPT-3.5 Turbo cheaper than GPT-4? ▼
GPT-3.5 Turbo is cheaper on input tokens at $0.50/1M vs $30.00/1M for GPT-4 — a 98% saving.
What is the context window of GPT-3.5 Turbo vs GPT-4? ▼
GPT-3.5 Turbo has a 16,385-token context window. GPT-4 has a 8,192-token context window. GPT-3.5 Turbo supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: GPT-3.5 Turbo or GPT-4? ▼
The best choice depends on your use case. For cost efficiency on input tokens, GPT-3.5 Turbo is the cheaper option. For maximum context length, GPT-3.5 Turbo supports 16,385 tokens. Use the comparison table above to find the right fit for your workload.