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Qwen3.7-Max-Preview

Reasoning modelQwen3.7

Qwen3.7-Max-Preview

Release date: 2026-05-20Updated: 2026-07-17 21:57:26.5524,657
Live demoGitHubHugging FaceCompare
Parameters
Not disclosed
Context length
1M
Chinese support
Supported
Reasoning ability

Qwen3.7-Max-Preview is a reasoning model from Alibaba, released on 2026-05-20. It accepts text input and returns text output. The recorded context window is 1M, and the recorded maximum output is 64K. Cataloged capabilities include Reasoning model and Multilingual. The model weights are proprietary and are not published for download. Use the linked references to confirm current access, licensing, and provider-specific limits.

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

Qwen3.7-Max-Preview

Model basics

Reasoning traces
Supported
Thinking modes
Thinking Mode (Default)Standard Mode
Context length
1M tokens
Max output length
64K tokens
Model type
Reasoning model
Modality (in / out)
Text → Text
Release date
2026-05-20
Model file size
No data
MoE architecture
No
Total params / Active params
No data / N/A
Knowledge cutoff
No data
Qwen3.7-Max-Preview

Open source & experience

Code license
Proprietary
Weights license
Proprietary
GitHub repo
GitHub link unavailable
Hugging Face
Hugging Face link unavailable
Qwen3.7-Max-Preview

Official resources

Paper
DataLearnerAI blog
No blog post yet
Qwen3.7-Max-Preview

API details

API speed
3/5
💡Default unit: $/1M tokens. If vendors use other units, follow their published pricing.
Standard
TypeConditionInputOutput
Text-$2.50/ 1M$7.50/ 1M
Cache PricingPrompt Cache
TypeTTLWriteRead
Text5m$3.13/ 1M$0.250/ 1M
Qwen3.7-Max-Preview

Benchmark Results

No benchmark data to show.

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Qwen3.7-Max-Preview

Publisher

Qwen3.7-Max-Preview

Model Overview

Qwen3.7-Max-Preview is a reasoning model from Alibaba, released on 2026-05-20.

It accepts text input and produces text output. Its cataloged capabilities include Reasoning model and Multilingual. The recorded context window is 1M, and the recorded maximum output is 64K.

The model weights are proprietary and are not published for download. The page records 4 API pricing rules from the listed provider; current provider pricing and conditions should be checked before deployment. The evaluation section contains 11 cataloged benchmark results with their recorded modes and scores. The page links 2 release, model-card, repository, or provider references for checking the underlying claims. Specifications, availability, and prices can change; undisclosed values are intentionally left unstated.

Qwen3.7-Max-Preview

FAQ

What is Qwen3.7-Max-Preview?

Qwen3.7-Max-Preview is a reasoning model from Alibaba, released on 2026-05-20. It accepts text input and returns text output. The recorded context window is 1M, and the recorded maximum output is 64K. Cataloged capabilities include Reasoning model and Multilingual. The model weights are proprietary and are not published for download. Use the linked references to confirm current access, licensing, and provider-specific limits.

What input and output modalities does Qwen3.7-Max-Preview support?

The current model record lists text as input and text as output.

What are the main recorded specifications for Qwen3.7-Max-Preview?

The recorded context window is 1M, and the recorded maximum output is 64K. Fields without a source-backed value remain undisclosed.

Does Qwen3.7-Max-Preview have API pricing?

The page records 4 API pricing rules from the listed provider; current provider pricing and conditions should be checked before deployment.

Are benchmark results available for Qwen3.7-Max-Preview?

The evaluation section contains 11 cataloged benchmark results with their recorded modes and scores. Compare only results that use the same benchmark version and evaluation mode.

Is Qwen3.7-Max-Preview open source?

The model weights are proprietary and are not published for download. Review the linked license text before commercial or derivative use.

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