Qwen Turbo
alibaba/qwen-turbo · family qwen · in: text → out: text · price provider-declared (via models.dev). Capabilities: tools reasoning text.
$0.09
Blended $/1M (3:1)
$0.05
Input $/1M
$0.2
Output $/1M
$0.25
1M in + 1M out
—
Cache read $/1M
#876 of 7,708
Cheapest rank
- Provider
- Alibaba (
alibaba) - Kind
- text (outputs text)
- Context
- 1,000,000 tokens
- Max output
- 16,384 tokens
- Capabilities
- tools reasoning text
Same model, other providers
“Qwen Turbo” is offered by 4 providers — cheapest-effective first. Ofox is the cheapest at $0.05 blended.
| Provider | Input | Output | Blended | Context |
|---|---|---|---|---|
| Ofox | $0.043 | $0.09 | $0.05 | 128k |
| Alibaba (China) | $0.044 | $0.087 | $0.05 | 1M |
| Alibaba (this) | $0.05 | $0.2 | $0.09 | 1M |
| NanoGPT | $0.05 | $0.2006 | $0.09 | 1M |
Call it
jishie indexes & prices models; it does not proxy inference.
Most providers are OpenAI-compatible — point base_url at Alibaba and pass this model id:
curl $BASE_URL/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" -H "Content-Type: application/json" \
-d '{"model":"qwen-turbo","messages":[{"role":"user","content":"hello"}]}'
Route programmatically with MCP find_model / get_model, or fetch this record free (no wallet):