Side-by-side comparison
R1 vs GPT Audio Mini
| R1 | GPT Audio Mini | |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 64,000 | 128,000 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | tools | tools, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 0.7000 | 0.6000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 2.5000 | 2.4000 |
Frequently asked questions
Which is cheaper, R1 or GPT Audio Mini?
GPT Audio Mini is cheaper than R1 on a 50/50 input/output blend by about $0.1 per 1M tokens. Exact savings depend on your input-vs-output ratio — use the cost calculator on this page for a workload-specific estimate.
Which has a larger context window, R1 or GPT Audio Mini?
GPT Audio Mini has the larger context window at 128k tokens versus 64k tokens for R1. That means GPT Audio Mini can ingest about 2.0x as much text per request.
What is the difference between R1 and GPT Audio Mini?
R1 comes from DeepSeek; GPT Audio Mini comes from OpenAI. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.