What is Qwen: Qwen3.7 Max's context window?

Qwen: Qwen3.7 Max supports a context window of 1,064,000 tokens, allowing you to process large documents and maintain long conversations.

How to use Qwen: Qwen3.7 Max 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: Qwen3.7 Max

Name: Qwen: Qwen3.7 Max
Brand: bailian
Price: 2.5 USD
Availability: InStock
Rating: 5 (1 reviews)

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bailian/qwen3.7-max

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Qwen3.7-Max is Alibaba Cloud Bailian's flagship reasoning model, featuring a 1M-token context window and 64K output. It supports deep reasoning (reasoning_content), excels at complex coding and long-horizon agentic tasks. Available via OpenAI and Anthropic protocols through Ofox.

Context Window

Max Output Tokens

64K

Released

2026-05-21

Capabilities

Function CallingReasoningPrompt Caching

Available Providers

Aliyun

Supported Protocols

openaianthropic

Providers

Aliyun

Input Tokens

$2.5/M

Output Tokens

$7.5/M

Cache Read

$0.5/M

Cache Write

$3.125/M

Web Search

$0.01/R

Protocols

openai/v1/chat/completions/v1/responses

anthropic

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/qwen3.7-max",
    messages=[
        {"role": "user", "content": "Hello!"}
    ],
)

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

Benchmarks

LMArena ↗Evaluated as qwen3.7-max-preview

Qwen: Qwen3.7 Max scores 1475 in the Overall category of the LMArena text leaderboard (style control), ranking #17 of 374 models based on 3,717 human preference votes (updated 2026-07-12).

Benchmark scores for qwen3.7-max-preview on LMArena
Category	Arena Score	95% CI	Rank	Votes
Overall	1475	1465–1485	#17 of 374	3,717
Hard Prompts	1496	1484–1508	#19 of 374	2,527
Coding	1527	1508–1545	#11 of 369	1,125
Math	1491	1451–1532	#11 of 362	219
Creative Writing	1445	1416–1473	#33 of 372	481
Instruction Following	1468	1451–1485	#20 of 374	1,281
Chinese	1524	1486–1562	#12 of 344	267

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.