Text model
gpt-5.3-chat-latest pricing
OpenAI charges $1.75 per million input tokens and $14.00 per million output tokens for gpt-5.3-chat-latest, and $0.175 for cached input. Below: every rate that applies, what common workloads cost, and cheaper options.
- Input
- $1.75/ 1M
- Output
- $14.00/ 1M
- Cached input
- $0.175/ 1M
- Context
- 128Ktokens
Retired 2026-08-10. Move to a current GPT model. npx @veqen/sdk scan finds every place your code uses it.
All rates
| Tier | Input | Output | Cache read | Cache write |
|---|---|---|---|---|
| Standard | $1.75 | $14.00 | $0.175 | — |
USD per million tokens. Long-context tiers apply when the whole prompt, cached tokens included, passes the threshold.
Work it out
What common workloads cost
| Workload | Per call | Cost per call | Calls a month | Per month |
|---|---|---|---|---|
| Chat reply | 1,500 input and 400 output tokens | $0.00822 | 100,000 | $822.50 |
| RAG answer, cached context | 2,000 fresh + 4,000 cached input, 500 output | $0.01 | 100,000 | $1,120.00 |
| Agent step | 4,000 fresh + 8,000 cached input, 800 output | $0.02 | 250,000 | $4,900.00 |
| Batch summary | 3,000 input and 300 output tokens via the Batch API | — | 1,000,000 | — |
Planning a mix of models? Simulate a workload with gpt-5.3-chat-latest, alongside anything else you run.
Cheaper options
Current models that cost at least 15% less for a typical chat reply. Cheaper isn't always equivalent: test quality on your own prompts, then use veqen diff to see the impact at your volume.
| Model | Chat reply | Saving |
|---|---|---|
| openai/o3 | $0.0062 | 25% |
| openai/gpt-5 | $0.00588 | 29% |
| zai/glm-4.5-x | $0.00686 | 17% |
| deepinfra/Qwen/Qwen3.7-Max | $0.00675 | 18% |
Price history
No price changes since Veqen started tracking this model.
Compare
Last verified with price book 2026-10-22. Sources: OpenAI pricing and LiteLLM's MIT-licensed price file. Track every call to this model, per customer or project: install the SDK.