Side-by-side comparison
Kimi K2 Thinking vs Qwen3 Coder Plus
MoonshotAI
Kimi K2 Thinking
🔧 Tools
{} JSON
Input / 1M
$0.6000
Output / 1M
$2.5000
Qwen
Qwen3 Coder Plus
🔧 Tools
{} JSON
Input / 1M
$0.6500
Output / 1M
$3.2500
| Kimi K2 Thinking | Qwen3 Coder Plus | |
|---|---|---|
| Provider | MoonshotAI | Qwen |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 262,144 | 1,000,000 |
| 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 → | 0.6000 | 0.6500 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 2.5000 | 3.2500 |
Frequently asked questions
Which is cheaper, Kimi K2 Thinking or Qwen3 Coder Plus?
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, Kimi K2 Thinking or Qwen3 Coder Plus?
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 Kimi K2 Thinking and Qwen3 Coder Plus?
Kimi K2 Thinking comes from MoonshotAI; Qwen3 Coder Plus comes from Qwen. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.