What is the context window of Qwen3.7 Max by NanoGPT?

Qwen3.7 Max by NanoGPT has a context window of 1.0M tokens. It supports up to 1.0M input tokens and can generate up to 66K output tokens.

What input and output types does Qwen3.7 Max support?

Qwen3.7 Max by NanoGPT accepts text as input and can generate text as output.

Is Qwen3.7 Max by NanoGPT open source?

No, Qwen3.7 Max by NanoGPT has closed weights. The model is only available through the NanoGPT API.

Back to Models

Qwen3.7 Max API

NanoGPT

About

Process massive datasets with Qwen3.7 Max, featuring an expansive 1.0M context window for long-document analysis. This model delivers cost-effective pricing at $2.50/1M input and $7.50/1M output tokens. Access Qwen3.7 Max via the NanoGPT API with up to 66K output tokens.

Capabilities

Input Modalities

text

Output Modalities

text

Reasoning

Structured Output

Tool Use

WeightsClosed

Temperature

Fixed

Attachment

Not Supported

Limits

Context Window

1.0M

Tokens

Input Limit

1.0M

Tokens

Max Output

66K

Tokens

Pricing

Standard (per 1M tokens)

Input

$2.50

Output

$7.50

Caching (per 1M tokens)

Read

$0.25

Frequently Asked Questions

Qwen3.7 Max by NanoGPT costs $2.50 per 1M input tokens and $7.50 per 1M output tokens. Cached reads cost $0.25 per 1M tokens.

Model Details

qwen3.7-max

Provider

NanoGPT

Family

Release Date

May 21, 2026

Knowledge Cutoff

N/A

API Integration

NPM Package

@ai-sdk/openai-compatible

Environment Variables

NANO_GPT_API_KEY

API Base URL

https://nano-gpt.com/api/v1

Documentation