Side-by-side comparison
Qwen3 VL 32B Instruct vs GPT-4o-mini (2024-07-18)
Qwen
Qwen3 VL 32B Instruct
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$0.1040
Output / 1M
$0.4160
OpenAI
GPT-4o-mini (2024-07-18)
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$0.1500
Output / 1M
$0.6000
| Qwen3 VL 32B Instruct | GPT-4o-mini (2024-07-18) | |
|---|---|---|
| Provider | Qwen | OpenAI |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 131,072 | 128,000 |
| 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 → | 0.1040 | 0.1500 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.4160 | 0.6000 |
Frequently asked questions
Which is cheaper, Qwen3 VL 32B Instruct or GPT-4o-mini (2024-07-18)?
Qwen3 VL 32B Instruct is cheaper than GPT-4o-mini (2024-07-18) on a 50/50 input/output blend by about $0.115 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 32B Instruct or GPT-4o-mini (2024-07-18)?
Qwen3 VL 32B Instruct has the larger context window at 131k tokens versus 128k tokens for GPT-4o-mini (2024-07-18). That means Qwen3 VL 32B Instruct can ingest about 1.0x as much text per request.
What is the difference between Qwen3 VL 32B Instruct and GPT-4o-mini (2024-07-18)?
Qwen3 VL 32B Instruct comes from Qwen; GPT-4o-mini (2024-07-18) 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.