Side-by-side comparison
Kimi K2.5 vs GPT-5 Mini
MoonshotAI
Kimi K2.5
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$0.4000
Output / 1M
$1.9000
| Kimi K2.5 | GPT-5 Mini | |
|---|---|---|
| Provider | MoonshotAI | OpenAI |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 262,144 | 400,000 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | vision, tools, json_mode | vision, tools, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 0.4000 | 0.2500 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 1.9000 | 2.0000 |
Frequently asked questions
Which is cheaper, Kimi K2.5 or GPT-5 Mini?
GPT-5 Mini is cheaper than Kimi K2.5 on a 50/50 input/output blend by about $0.025 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 K2.5 or GPT-5 Mini?
GPT-5 Mini has the larger context window at 400k tokens versus 262k tokens for Kimi K2.5. That means GPT-5 Mini can ingest about 1.5x as much text per request.
What is the difference between Kimi K2.5 and GPT-5 Mini?
Kimi K2.5 comes from MoonshotAI; GPT-5 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.