Side-by-side comparison
Qwen3 VL 235B A22B Thinking vs Seed 1.6
Qwen
Qwen3 VL 235B A22B Thinking
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$0.2600
Output / 1M
$2.6000
ByteDance Seed
Seed 1.6
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$0.2500
Output / 1M
$2.0000
| Qwen3 VL 235B A22B Thinking | Seed 1.6 | |
|---|---|---|
| Provider | Qwen | ByteDance Seed |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 131,072 | 262,144 |
| 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 Seed 1.6?
Seed 1.6 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 Seed 1.6?
Seed 1.6 has the larger context window at 262k tokens versus 131k tokens for Qwen3 VL 235B A22B Thinking. That means Seed 1.6 can ingest about 2.0x as much text per request.
What is the difference between Qwen3 VL 235B A22B Thinking and Seed 1.6?
Qwen3 VL 235B A22B Thinking comes from Qwen; Seed 1.6 comes from ByteDance Seed. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.