Side-by-side comparison
Qwen3 235B A22B vs R1 0528
| Qwen3 235B A22B | R1 0528 | |
|---|---|---|
| Provider | Qwen | DeepSeek |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 131,072 | 163,840 |
| 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 → | 0.4550 | 0.5000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 1.8200 | 2.1500 |
Frequently asked questions
Which is cheaper, Qwen3 235B A22B or R1 0528?
Qwen3 235B A22B is cheaper than R1 0528 on a 50/50 input/output blend by about $0.1875 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 235B A22B or R1 0528?
R1 0528 has the larger context window at 164k tokens versus 131k tokens for Qwen3 235B A22B. That means R1 0528 can ingest about 1.3x as much text per request.
What is the difference between Qwen3 235B A22B and R1 0528?
Qwen3 235B A22B comes from Qwen; R1 0528 comes from DeepSeek. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.