Qwen3 VL 30B A3B Thinking vs Seed-2.0-Lite
Qwen3 VL 30B A3B Thinking
Seed-2.0-Lite
| Qwen3 VL 30B A3B Thinking | Seed-2.0-Lite | |
|---|---|---|
| Provider | Qwen | ByteDance Seed |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary β | 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 β | 0.1300 | 0.2500 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3β5Γ pricier than input. Glossary β | 1.5600 | 2.0000 |
Frequently asked questions
Which is cheaper, Qwen3 VL 30B A3B Thinking or Seed-2.0-Lite?
Qwen3 VL 30B A3B Thinking is cheaper than Seed-2.0-Lite on a 50/50 input/output blend by about $0.28 per 1M tokens. Exact savings depend on your input-vs-output ratio β use the cost calculator on this page for a workload-specific estimate.
Which has a larger context window, Qwen3 VL 30B A3B Thinking or Seed-2.0-Lite?
Seed-2.0-Lite has the larger context window at 262k tokens versus 131k tokens for Qwen3 VL 30B A3B Thinking. That means Seed-2.0-Lite can ingest about 2.0x as much text per request.
What is the difference between Qwen3 VL 30B A3B Thinking and Seed-2.0-Lite?
Qwen3 VL 30B A3B Thinking comes from Qwen; Seed-2.0-Lite comes from ByteDance Seed. They differ in pricing, context window, and supported capabilities β see the side-by-side table on this page for the exact figures, refreshed nightly.