What is Qwen: Qwen3.5 27B's context window?

Qwen: Qwen3.5 27B supports a context window of 256,000 tokens, allowing you to process large documents and maintain long conversations.

How to use Qwen: Qwen3.5 27B API via Ofox?

Simply set your base URL to https://api.ofox.io/v1 and use your Ofox API key. The API is OpenAI-compatible — just change the base URL and API key in your existing code.

Qwen: Qwen3.5 27B

Name: Qwen: Qwen3.5 27B
Brand: bailian
Price: 0.29 USD
Availability: InStock
Rating: 5 (1 reviews)

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bailian/qwen3.5-27b

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Qwen3.5-27B is a dense vision-language model from Alibaba's Qwen3.5 series, incorporating linear attention for fast inference. Its overall capability approaches Qwen3.5-122B-A10B, making it an efficient choice balancing speed and quality. Context: 256K tokens, output: 64K. Accessible via the OpenAI-compatible protocol.

Context Window

256K

Max Output Tokens

64K

Released

2026-02-23

Capabilities

VisionFunction CallingReasoningPrompt CachingWeb SearchVideo Input

Available Providers

Aliyun

Supported Protocols

openai

Providers

Aliyun

Input Tokens

$0.29/M

Output Tokens

$2.05/M

Cache Read

$0.29/M

Web Search

$0.01/R

Protocols

openai/v1/chat/completions

Playground

Open in OfoxChat

Chat with this model right here.

Conversations live only in this page and are never stored.

Conversations are not saved — leaving or refreshing this page clears them.

Code Examples

from openai import OpenAI

client = OpenAI(
    base_url="https://api.ofox.io/v1",
    api_key="YOUR_OFOX_API_KEY",
)

response = client.chat.completions.create(
    model="bailian/qwen3.5-27b",
    messages=[
        {"role": "user", "content": "Hello!"}
    ],
)

print(response.choices[0].message.content)

Benchmarks

LMArena ↗Evaluated as qwen3.5-27b

Qwen: Qwen3.5 27B scores 1408 in the Overall category of the LMArena text leaderboard (style control), ranking #118 of 374 models based on 27,362 human preference votes (updated 2026-07-12).

Benchmark scores for qwen3.5-27b on LMArena
Category	Arena Score	95% CI	Rank	Votes
Overall	1408	1404–1413	#118 of 374	27,362
Hard Prompts	1427	1421–1432	#115 of 374	17,075
Coding	1450	1443–1457	#118 of 369	7,526
Math	1429	1414–1443	#75 of 362	1,651
Creative Writing	1358	1348–1368	#137 of 372	4,087
Instruction Following	1401	1394–1407	#114 of 374	8,598
Chinese	1471	1455–1487	#79 of 344	1,532

Source: LMArena · CC BY 4.0 · Updated 2026-07-12 · Methodology ↗ · Ranks compare models within each category of the LMArena text leaderboard (style control). Scores come from third-party human preference evaluations, not from OFOX.