Side-by-side comparison
Qwen3 VL 235B A22B Thinking vs GPT-5.1-Codex-Mini
Qwen
Qwen3 VL 235B A22B Thinking
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$0.2600
Output / 1M
$2.6000
OpenAI
GPT-5.1-Codex-Mini
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$0.2500
Output / 1M
$2.0000
| Qwen3 VL 235B A22B Thinking | GPT-5.1-Codex-Mini | |
|---|---|---|
| Provider | Qwen | OpenAI |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 131,072 | 400,000 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | vision, tools, json_mode | vision, tools, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 0.2600 | 0.2500 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 2.6000 | 2.0000 |
Frequently asked questions
Which is cheaper, Qwen3 VL 235B A22B Thinking or GPT-5.1-Codex-Mini?
GPT-5.1-Codex-Mini is cheaper than Qwen3 VL 235B A22B Thinking on a 50/50 input/output blend by about $0.305 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 VL 235B A22B Thinking or GPT-5.1-Codex-Mini?
GPT-5.1-Codex-Mini has the larger context window at 400k tokens versus 131k tokens for Qwen3 VL 235B A22B Thinking. That means GPT-5.1-Codex-Mini can ingest about 3.1x as much text per request.
What is the difference between Qwen3 VL 235B A22B Thinking and GPT-5.1-Codex-Mini?
Qwen3 VL 235B A22B Thinking comes from Qwen; GPT-5.1-Codex-Mini comes from OpenAI. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.