LLM Perks

Qwen3 VL 235B

Alibaba Cloud · All Qwen models
Free right now Frontier
VisionReasoningTool useLong contextOpen weights

Qwen3 VL 235B is a language model with 235B parameters from Alibaba Cloud. It is currently free at 1 provider with up to 262K tokens of context. The model understands images, supports step-by-step reasoning, supports tool calling. Its weights are open, so it can also run locally.

Developer
Alibaba Cloud
Parameters
235B / 22B active
Context
262K tokens
Type
Text
License
Open weights

Where to use Qwen3 VL 235B for free

Each row is a separate free endpoint with its own limits.

ProviderContextLimitCard
Together AI
Qwen/Qwen3-VL-235B-A22B-Instruct-FP8
262K Fair use (depends on server load) — Open

Quick start

curl https://api.together.xyz/v1/chat/completions \
  -H "Authorization: Bearer $TOGETHER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "Qwen/Qwen3-VL-235B-A22B-Instruct-FP8",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Example for Together AI. Any OpenAI-compatible client works: Cursor, Cline, OpenCode, Open WebUI.

Benchmarks

Intelligence Index
13.4
GPQA Diamond
77.2%
Humanity's Last Exam
11.9%
Terminal-Bench Hard
11.4%
τ²-Bench
54.1%
Long context (LCR)
63.7%

Source: Artificial Analysis · Qwen3 VL 235B A22B (Reasoning)

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FAQ

Is Qwen3 VL 235B free?

Yes. As of September 26, 2026, Qwen3 VL 235B is free at Together AI. Each provider has its own limits — see the table above.

What is the context window of Qwen3 VL 235B?

The largest context among free routes is 262,144 tokens. Some providers cap it lower.

How do I call Qwen3 VL 235B via API?

Use any OpenAI-compatible client with base URL https://api.together.xyz/v1, model ID Qwen/Qwen3-VL-235B-A22B-Instruct-FP8, and a Together AI key.

How good is Qwen3 VL 235B?

Artificial Analysis Intelligence Index: 13.4, GPQA Diamond: 77%. For comparison, the strongest free model in the catalog right now is GLM 5.3.

Is Qwen3 VL 235B open-weight?

Yes, the weights are published — you can download and run it locally, for example with Ollama or LM Studio.