Side-by-side comparison
Qwen3.6 27B vs MoonshotAI Kimi Latest
MoonshotAI
MoonshotAI Kimi Latest
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$0.7300
Output / 1M
$3.4900
| Qwen3.6 27B | MoonshotAI Kimi Latest | |
|---|---|---|
| Provider | Qwen | MoonshotAI |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 262,144 | 262,142 |
| 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 | 0.7300 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 3.2000 | 3.4900 |
Frequently asked questions
Which is cheaper, Qwen3.6 27B or MoonshotAI Kimi Latest?
Qwen3.6 27B is cheaper than MoonshotAI Kimi Latest on a 50/50 input/output blend by about $0.35 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, Qwen3.6 27B or MoonshotAI Kimi Latest?
Qwen3.6 27B has the larger context window at 262k tokens versus 262k tokens for MoonshotAI Kimi Latest. That means Qwen3.6 27B can ingest about 1.0x as much text per request.
What is the difference between Qwen3.6 27B and MoonshotAI Kimi Latest?
Qwen3.6 27B comes from Qwen; MoonshotAI Kimi Latest 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.