Qwen3-VL Plus
qwen3-vl-plus
Qwen3-VL Plus is a text model from 阿里云. The snapshot records a release date of 2025-09-23. Context window: 262.144K tokens. Maximum output: 32.768K tokens. Input: text, images. Output: text. Capabilities recorded: reasoning, tool calls.
Directory snapshot 2026-10-26 · Chinese dossier: 完整中文页
Official list price
CNY / 1M TOKENSOfficial list price in the directory snapshot: ¥1.34 input and ¥10.7 output per 1M tokens, in CNY. Relay prices below are what individual sites listed; they can be lower or higher, and they are not official prices.
Relay coverage
5 SITES5 sites in our public directory listed this model ID in the 2026-10-26 snapshot. Listed relay price range: ¥0.16–¥1.5 per 1M input tokens. A listing means the model appeared on the site's public model list; it is not proof that the site serves the genuine model.
| Site | Domain | Relay price / 1M | Verification |
|---|---|---|---|
| OmniaKey | omniakey.com | ¥0.16 | enterprise |
| LinoRoute | linoroute.com | ¥0.2–¥0.3 | personal |
| RunAPI | runapi.host | ¥0.771417 | enterprise |
| ePhone AI | ephone.ai | ¥0.8 | — |
| AIGC Token | aigc-token.com | ¥1.5 | enterprise |
How to verify this model on a relay
THREE STEPS- Send a short request to the relay and read the
modelfield in the response. It must match the ID you sent; a different ID is a mapping, not necessarily a substitution. - Run the same prompt against a known-good endpoint and compare prompt-token counts. A large, repeatable gap points at a different tokenizer or a different backend.
- Run the seven checks. Billing, context retention, error shape, parameter compliance, tools, and streaming each produce evidence you can quote.
Same publisher
阿里云Questions
FAQWhat is the context window of Qwen3-VL Plus?
The snapshot records 262,144 tokens.
How much does Qwen3-VL Plus cost?
Official list price: ¥1.34 input / ¥10.7 output per 1M tokens in CNY, per the directory snapshot. 5 relay sites listed it at ¥0.16–¥1.5 per 1M input tokens.
Is a relay really serving Qwen3-VL Plus?
A model ID in a response is not proof. The seven-check detection compares tokenizer ratios, billing, error shape, parameter compliance, tools, and streaming against the advertised family. Run it on a key you can afford to spend, and treat one run as a spot check, not 24/7 monitoring.
Specifications and prices come from the 2026-10-26 public directory snapshot. We do not publish IQ scores or structured-output claims for models where we have no reliable data.