LLM Perks

Qwen 3.5 27B

Alibaba Cloud · All Qwen models
Free right now Mid-size New
ReasoningCodingTool useLong contextOpen weights

Qwen 3.5 27B is a language model with 27B parameters from Alibaba Cloud. It is currently free at 1 provider with up to 262K tokens of context. The model supports step-by-step reasoning, is suited to coding, supports tool calling. Its weights are open, so it can also run locally.

Developer
Alibaba Cloud
Parameters
27B
Context
262K tokens
Type
Text
License
Open weights
Free since
October 3, 2026

Where to use Qwen 3.5 27B for free

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

ProviderContextLimitCard
UnoRouter
qwen3.5-27b:free
262K No-card free models use shared capacity and per-model limits; availability can change. No Open

Quick start

curl https://api.unorouter.com/v1/chat/completions \
  -H "Authorization: Bearer $UNOROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3.5-27b:free",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

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

Benchmarks

Intelligence Index
22.9
GPQA Diamond
85.8%
Humanity's Last Exam
23.9%
Terminal-Bench Hard
32.6%
τ²-Bench
93.9%
Long context (LCR)
77.7%

Source: Artificial Analysis · Qwen3.5 27B (Reasoning)

Similar free models

FAQ

Is Qwen 3.5 27B free?

Yes. As of October 3, 2026, Qwen 3.5 27B is free at UnoRouter. Each provider has its own limits — see the table above.

What is the context window of Qwen 3.5 27B?

The largest context among free routes is 262,100 tokens. Some providers cap it lower.

How do I call Qwen 3.5 27B via API?

Use any OpenAI-compatible client with base URL https://api.unorouter.com/v1, model ID qwen3.5-27b:free, and a UnoRouter key.

How good is Qwen 3.5 27B?

Artificial Analysis Intelligence Index: 22.9, GPQA Diamond: 86%. For comparison, the strongest free model in the catalog right now is GLM 5.3.

Is Qwen 3.5 27B open-weight?

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