qwen3-vl-235b-a22b-thinking:free
Qwen vision-language model for visual reasoning, documents, and agent tasks
Capabilities
Modalities
Quick stats
Performance
Supported parameters
All providers = every upstream serving this model supports it. Some providers = depends on which upstream handles the request. Default = the value sent when you leave the parameter unset.
| Parameter | Providers | Default |
|---|---|---|
| frequency_penalty | Some providers | Not sent by default |
| include_reasoning | All providers | - |
| logprobs | All providers | - |
| max_tokens | All providers | - |
| presence_penalty | All providers | Not sent by default |
| reasoning | All providers | - |
| repetition_penalty | Some providers | 1 |
| response_format | Some providers | - |
| seed | All providers | - |
| stop | Some providers | - |
| structured_outputs | Some providers | - |
| temperature | All providers | 0.8 |
| tool_choice | All providers | - |
| tools | All providers | - |
| top_k | Some providers | 20 |
| top_logprobs | All providers | - |
| top_p | All providers | 0.95 |
Pricing
| Input price | $0.00 · 1M tokens |
| Output price | $0.00 · 1M tokens |
| Context window | 131.1K tokens |
| Compatible endpoints | openai |
| Vendor | Alibaba |
Call qwen3-vl-235b-a22b-thinking:free from your code
Point any OpenAI-compatible SDK at UnoRouter and request the model by name. Replace YOUR_API_KEY with a real key from your dashboard.
curl https://api.unorouter.com/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen3-vl-235b-a22b-thinking:free",
"messages": [{"role": "user", "content": "Hello!"}]
}'Frequently asked questions
How much does qwen3-vl-235b-a22b-thinking:free cost per 1M tokens?
Input is priced at $0.00 per 1M tokens, output at $0.00 per 1M tokens. Billing is per token, no rounding to batch sizes.
How do I access qwen3-vl-235b-a22b-thinking:free via API?
Send requests to the UnoRouter /v1/chat/completions endpoint with model=qwen3-vl-235b-a22b-thinking:free. Any OpenAI-compatible client library works. Authentication uses a standard Bearer token.
What is the context window of qwen3-vl-235b-a22b-thinking:free?
qwen3-vl-235b-a22b-thinking:free supports a context window of 131.1K tokens, shared between your prompt and the model's response.
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Try qwen3-vl-235b-a22b-thinking:free now
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