Qwen3-Coder 480B-A35B Instruct
qwen3-coder-480b-a35b-instruct
Qwen3-Coder 480B-A35B Instruct is a text model from 阿里云. The snapshot records a release date of 2025-04. Context window: 262.144K tokens. Maximum output: 65.536K tokens. Input: text. Output: text. Capabilities recorded: tool calls, open weights.
Directory snapshot 2026-10-26 · Chinese dossier: 完整中文页
Official list price
CNY / 1M TOKENSOfficial list price in the directory snapshot: ¥10.03 input and ¥50.14 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
3 SITES3 sites in our public directory listed this model ID in the 2026-10-26 snapshot. Listed relay price range: ¥1.12–¥75 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 | ¥1.12 | enterprise |
| ClaudeCN | claudecn.top | ¥1.35–¥5.4 | — |
| AIGC Token | aigc-token.com | ¥75 | 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-Coder 480B-A35B Instruct?
The snapshot records 262,144 tokens.
How much does Qwen3-Coder 480B-A35B Instruct cost?
Official list price: ¥10.03 input / ¥50.14 output per 1M tokens in CNY, per the directory snapshot. 3 relay sites listed it at ¥1.12–¥75 per 1M input tokens.
Is a relay really serving Qwen3-Coder 480B-A35B Instruct?
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 We do not publish IQ scores or structured-output claims for models where we have no reliable data.