Text model
gpt-audio-1.5 pricing
OpenAI charges $2.50 per million input tokens and $10.00 per million output tokens for gpt-audio-1.5, with audio at $32.00 in and $64.00 out. Below: every rate that applies, what common workloads cost, and cheaper options.
- Input
- $2.50/ 1M
- Output
- $10.00/ 1M
- Audio input
- $32.00/ 1M
- Context
- 128Ktokens
All rates
| Tier | Input | Output | Cache read | Cache write |
|---|---|---|---|---|
| Standard | $2.50 | $10.00 | — | — |
USD per million tokens. Audio output costs $64.00. 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 | $0.00775 | 100,000 | $775.00 |
| RAG answer, cached context | 2,000 fresh + 4,000 cached input, 500 output | $0.02 | 100,000 | $2,000.00 |
| Agent step | 4,000 fresh + 8,000 cached input, 800 output | $0.04 | 250,000 | $9,500.00 |
| 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-audio-1.5, 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 | 20% |
| openai/gpt-5 | $0.00588 | 24% |
| databricks/databricks-gemini-3-6-flash | $0.00656 | 15% |
| novita/qwen/qwen3-max | $0.00654 | 16% |
Price history
No price changes since Veqen started tracking this model.
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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.