Side-by-side comparison
Kimi K2 0711 vs GPT Audio Mini
| Kimi K2 0711 | GPT Audio Mini | |
|---|---|---|
| Provider | MoonshotAI | OpenAI |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 131,072 | 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 → | 0.5700 | 0.6000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 2.3000 | 2.4000 |
Frequently asked questions
Which is cheaper, Kimi K2 0711 or GPT Audio Mini?
Kimi K2 0711 is cheaper than GPT Audio Mini on a 50/50 input/output blend by about $0.065 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, Kimi K2 0711 or GPT Audio Mini?
Kimi K2 0711 has the larger context window at 131k tokens versus 128k tokens for GPT Audio Mini. That means Kimi K2 0711 can ingest about 1.0x as much text per request.
What is the difference between Kimi K2 0711 and GPT Audio Mini?
Kimi K2 0711 comes from MoonshotAI; 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.