Qwen3 Coder 480B A35B Instruct
qiniu-ai/qwen3-coder-480b-a35b-instruct · in: text → out: text · price provider-declared (via models.dev). Capabilities: tools text.
This is a text model — providers price it per unit, not per token, so models.dev carries no token price (fields read “—”). See Qiniu’s docs for per-unit rates.
- Provider
- Qiniu (
qiniu-ai) - Kind
- text (outputs text)
- Context
- 262,000 tokens
- Max output
- 4,096 tokens
- Capabilities
- tools text
Same model, other providers
“Qwen3 Coder 480B A35B Instruct” is offered by 8 providers — cheapest-effective first. Nvidia is the cheapest at $0.00 blended.
| Provider | Input | Output | Blended | Context |
|---|---|---|---|---|
| Nvidia | free | free | $0.00 | 262k |
| submodel | $0.2 | $0.8 | $0.35 | 262k |
| Jiekou.AI | $0.29 | $1.2 | $0.52 | 262k |
| Merge Gateway | $0.22 | $1.8 | $0.61 | 131k |
| NovitaAI | $0.38 | $1.55 | $0.67 | 262k |
| Together AI | $2 | $2 | $2.00 | 262k |
| Vercel AI Gateway | $1.5 | $7.5 | $3.00 | 262k |
| Qiniu (this) | — | — | — | 262k |
Call it
jishie indexes & prices models; it does not proxy inference.
Most providers are OpenAI-compatible — point base_url at Qiniu and pass this model id:
curl $BASE_URL/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" -H "Content-Type: application/json" \
-d '{"model":"qwen3-coder-480b-a35b-instruct","messages":[{"role":"user","content":"hello"}]}'
Route programmatically with MCP find_model / get_model, or fetch this record free (no wallet):