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

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.

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

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.