Qwen3 VL 235B A22B Thinking

qwen3-vl-235b-a22b-thinking · Qwen

The Qwen3 series open-source models include hybrid models, thinking models, and non-thinking models, with both reasoning capabilities and general abilities reaching industry SOTA levels at the same scale.

API Pricing

Input$0.274 / 1M tokens
Output$2.74 / 1M tokens

Specifications

Context131K tokens
Modalitiestext, image, video
CapabilitiesThinking, Streaming, Tool calling, Structured outputs

Frequently asked questions

What is Qwen3 VL 235B A22B Thinking?

The Qwen3 series open-source models include hybrid models, thinking models, and non-thinking models, with both reasoning capabilities and general abilities reaching industry SOTA levels at the same scale.

What is the context length of Qwen3 VL 235B A22B Thinking?

Qwen3 VL 235B A22B Thinking has a 131,072 token context window.

How much does Qwen3 VL 235B A22B Thinking cost?

On AIHubMix, Qwen3 VL 235B A22B Thinking costs $0.274 per million input tokens and $2.74 per million output tokens.

What modalities does Qwen3 VL 235B A22B Thinking support?

Qwen3 VL 235B A22B Thinking accepts text, image and video input.

What capabilities does Qwen3 VL 235B A22B Thinking support?

Qwen3 VL 235B A22B Thinking supports thinking, tool calling, function calling and structured outputs. Per-protocol parameter support is listed in the capability table on this page.

How do I call Qwen3 VL 235B A22B Thinking via API?

Qwen3 VL 235B A22B Thinking is available through the AIHubMix unified API. The API is OpenAI-compatible: point your OpenAI SDK at https://aihubmix.com/v1, use your AIHubMix API key, and set the model name to qwen3-vl-235b-a22b-thinking — no other code changes needed.

Who created Qwen3 VL 235B A22B Thinking?

Qwen3 VL 235B A22B Thinking is developed by Qwen. AIHubMix aggregates it alongside models from other providers behind one API and one bill.

When was Qwen3 VL 235B A22B Thinking released?

Qwen3 VL 235B A22B Thinking was released on September 23, 2025 by Qwen.

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Use Qwen3 VL 235B A22B Thinking via the AIHubMix unified API — one interface for every major LLM.