KAT-Coder-Pro V2 vs Qwen3 235B A22B Thinking 2507
KAT-Coder-Pro V2
Qwen3 235B A22B Thinking 2507
| KAT-Coder-Pro V2 | Qwen3 235B A22B Thinking 2507 | |
|---|---|---|
| Provider | Kwaipilot | Qwen |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary β | 256,000 | 131,072 |
| 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 β | 0.3000 | 0.1495 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3β5Γ pricier than input. Glossary β | 1.2000 | 1.4950 |
Frequently asked questions
Which is cheaper, KAT-Coder-Pro V2 or Qwen3 235B A22B Thinking 2507?
KAT-Coder-Pro V2 is cheaper than Qwen3 235B A22B Thinking 2507 on a 50/50 input/output blend by about $0.0723 per 1M tokens. Exact savings depend on your input-vs-output ratio β use the cost calculator on this page for a workload-specific estimate.
Which has a larger context window, KAT-Coder-Pro V2 or Qwen3 235B A22B Thinking 2507?
KAT-Coder-Pro V2 has the larger context window at 256k tokens versus 131k tokens for Qwen3 235B A22B Thinking 2507. That means KAT-Coder-Pro V2 can ingest about 2.0x as much text per request.
What is the difference between KAT-Coder-Pro V2 and Qwen3 235B A22B Thinking 2507?
KAT-Coder-Pro V2 comes from Kwaipilot; Qwen3 235B A22B Thinking 2507 comes from Qwen. They differ in pricing, context window, and supported capabilities β see the side-by-side table on this page for the exact figures, refreshed nightly.