Side-by-side comparison
Qwen3 235B A22B Thinking 2507 vs Grok Code Fast 1
Qwen
Qwen3 235B A22B Thinking 2507
🔧 Tools
{} JSON
Input / 1M
$0.1495
Output / 1M
$1.4950
| Qwen3 235B A22B Thinking 2507 | Grok Code Fast 1 | |
|---|---|---|
| Provider | Qwen | xAI |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 131,072 | 256,000 |
| 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 → | 0.1495 | 0.2000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 1.4950 | 1.5000 |
Frequently asked questions
Which is cheaper, Qwen3 235B A22B Thinking 2507 or Grok Code Fast 1?
Qwen3 235B A22B Thinking 2507 is cheaper than Grok Code Fast 1 on a 50/50 input/output blend by about $0.0278 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 Thinking 2507 or Grok Code Fast 1?
Grok Code Fast 1 has the larger context window at 256k tokens versus 131k tokens for Qwen3 235B A22B Thinking 2507. That means Grok Code Fast 1 can ingest about 2.0x as much text per request.
What is the difference between Qwen3 235B A22B Thinking 2507 and Grok Code Fast 1?
Qwen3 235B A22B Thinking 2507 comes from Qwen; Grok Code Fast 1 comes from xAI. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.