Side-by-side comparison
Qwen3 Coder Plus vs Kimi K2 Thinking
Qwen
Qwen3 Coder Plus
🔧 Tools
{} JSON
Input / 1M
$0.6500
Output / 1M
$3.2500
MoonshotAI
Kimi K2 Thinking
🔧 Tools
{} JSON
Input / 1M
$0.6000
Output / 1M
$2.5000
| Qwen3 Coder Plus | Kimi K2 Thinking | |
|---|---|---|
| Provider | Qwen | MoonshotAI |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 1,000,000 | 262,144 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | tools, json_mode | tools, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 0.6500 | 0.6000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 3.2500 | 2.5000 |
Frequently asked questions
Which is cheaper, Qwen3 Coder Plus or Kimi K2 Thinking?
Kimi K2 Thinking is cheaper than Qwen3 Coder Plus on a 50/50 input/output blend by about $0.4 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 Coder Plus or Kimi K2 Thinking?
Qwen3 Coder Plus has the larger context window at 1M tokens versus 262k tokens for Kimi K2 Thinking. That means Qwen3 Coder Plus can ingest about 3.8x as much text per request.
What is the difference between Qwen3 Coder Plus and Kimi K2 Thinking?
Qwen3 Coder Plus comes from Qwen; Kimi K2 Thinking 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.