Side-by-side comparison
Qwen3.6 27B vs Kimi K2.5
MoonshotAI
Kimi K2.5
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$0.4000
Output / 1M
$1.9000
| Qwen3.6 27B | Kimi K2.5 | |
|---|---|---|
| Provider | Qwen | MoonshotAI |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 262,144 | 262,144 |
| 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 → | 0.3200 | 0.4000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 3.2000 | 1.9000 |
Frequently asked questions
Which is cheaper, Qwen3.6 27B or Kimi K2.5?
Kimi K2.5 is cheaper than Qwen3.6 27B on a 50/50 input/output blend by about $0.61 per 1M tokens. Exact savings depend on your input-vs-output ratio — use the cost calculator on this page for a workload-specific estimate.
What is the difference between Qwen3.6 27B and Kimi K2.5?
Qwen3.6 27B comes from Qwen; Kimi K2.5 comes from MoonshotAI. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.