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  2. /Model
  3. /Qwen
  4. /qwen3.7-max
Qwen
qwen3.7-max
ChatDocumentation
Documentation
Qwen3.7-max is Alibaba Cloud's text-only reasoning flagship, announced May 2026 — a 1M-token context window with extended-thinking reasoning, built for coding, long-document analysis, and multi-hour agent runs. Call the Qwen3.7-max API on GPTProto on one balance across 200+ models, well under official rates.

$ 0.36
$ 0.4

$ 1.44
$ 1.6

text

text

$ 0.36
$ 0.4

text

$ 1.44
$ 1.6

text

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Qwen3.7-max API: Key Features & Specs

The text-only reasoning capabilities, 1M context window, and access that define the Qwen3.7-max API on GPTProto.

1M Token Qwen 3.7 Context

Qwen3.7-max ships a 1,000,000-token context window and up to 65,536 output tokens, enough to hold a full code repository or document stack in a single Qwen3.7-max API call, with no external retrieval.

qwen 3.7 context

Long-Horizon Qwen3.7-max Agents

Built for the agent era, Qwen3.7-max sustains multi-hour autonomous runs — Alibaba reports 1,000+ tool calls in a single session. Extended-thinking reasoning plans before it answers and holds course across long agentic loops.

qwen 3.7 vision

One Key, Under Official Rates

Call the qwen3.7-max API through GPTProto on one balance across 200+ models — one key, no regional sign-up barriers. At $0.36 / $1.44 per 1M it runs roughly 80% below the official $2.50 / $7.50 rate.

qwen 3.7 pricing

Repository-Scale Coding

Qwen3.7-max is tuned for multi-file repository refactoring and step-heavy Python or Rust work, and ranks among the top text models for coding in public LM Arena testing — backed by its extended-thinking reasoning.

qwen 3.7 coding

What is Qwen3.7-max?

Qwen3.7-max is the text-only reasoning flagship of Alibaba's Qwen 3.7 generation, announced at the Alibaba Cloud Summit on May 20, 2026. It is a proprietary, closed-weight model — there is no open-source qwen3.7-max release — currently available as a preview through the qwen3.7-max API. Vision and image input live in its sibling model, Qwen3.7-Plus; Max takes text in and returns text out. On GPTProto, you reach the qwen3.7-max API on the same balance and key as every other model on the platform.

Spec qwen3.7-max
Provider Alibaba Cloud (Qwen)
Modality Text in, text out only (no image or video input)
Context window 1,000,000 tokens
Max output 65,536 tokens
Reasoning Extended-thinking (chain-of-thought)
Weights Proprietary, closed-weight (not open source)
Status Preview — announced May 20, 2026
API compatibility OpenAI-compatible; Anthropic-API compatible (works with Claude Code)
Model string qwen3.7-max
GPTProto endpoint https://gptproto.com/v1/chat/completions

Qwen3.7-max vs GPT-5.5, Opus 4.8 & Qwen Turbo

All four run on GPTProto under one key and one balance, so you can route per task. GPT-5.5 and Opus 4.8 still lead the Artificial Analysis Intelligence Index; qwen3.7-max is the #1 Chinese model, trailing them narrowly while undercutting both heavily on price. Against Qwen Turbo — same 1M context, same text-only modality — qwen3.7-max trades speed for far deeper extended-thinking reasoning.

Model Modality Context Direct list (in/out per 1M) On GPTProto
Qwen3.7-max Text only 1M $2.50 / $7.50 $0.36 / $1.44
GPT-5.5 Multimodal ~1.05M $5 / $30 $4 / $24
Claude Opus 4.8 Multimodal 1.0M $5 / $25 $4 / $20
Qwen Turbo Text only 1M $0.05 / $0.20 $0.045 / $0.18

Honest take: Reach for qwen3.7-max when you want frontier-class text reasoning, a 1M context, and long agent runs at a fraction of the cost — on GPTProto roughly 80% below its official rate. For image, diagram, or video input, use a multimodal model like GPT-5.5, Opus 4.8, or qwen3.7-max's own sibling Qwen3.7-Plus.

Switching to the qwen3.7-max API on GPTProto

Moving from Alibaba Cloud Model Studio or OpenRouter to GPTProto is a drop-in change: keep your existing OpenAI-compatible request and swap two things — point base_url to https://gptproto.com/v1 and use your GPTProto API key. The same key and balance then cover qwen3.7-max and every other model on the platform, with no separate regional sign-up. Because Qwen3.7-max is also Anthropic-API compatible, Claude Code users can target it the same way.

How to Get a qwen3.7-max API Key

Getting a qwen3.7-max API key takes four steps and a few minutes. Create a free GPTProto account, add credits, generate your key, and make your first call — at $0.36 / $1.44 it's a cheaper qwen3.7-max API key than going direct, and one key works across every model on the platform. Full qwen3.7-max Documentation is in the docs.

Sign up

Sign up

Create your free GPT Proto account to begin. You can set up an organization for your team at any time.

Top up

Top up

Your balance can be used across all models on the platform, including qwen3.7-max, giving you the flexibility to experiment and scale as needed.

Generate your API key

Generate your API key

In your dashboard, create an API key — you'll need it to authenticate when making requests to qwen3.7-max.

Make your first API call

Make your first API call

Use your API key with our sample code to send a request to qwen3.7-max via GPT Proto and see instant AI-powered results.

Get API Key

qwen 3.7 Frequently Asked Questions

Common questions about qwen 3.7 performance, pricing, and integration steps.

Is Qwen3.7-max available?

Yes — it's available as a preview via API, including the qwen3.7-max API on GPTProto. Alibaba flags it as a preview build, so specs may change before a stable release.

Is Qwen3.7-max open source?

No. Qwen3.7-max is proprietary and closed-weight; there's no downloadable open-weight release. You access it through the API.

Can Qwen3.7-max process images?

No — Qwen3.7-max is text-only. It accepts text and returns text. For image, diagram, or video input, use its multimodal sibling Qwen3.7-Plus.

Qwen3.7-max vs GPT-5.5 — which is stronger?

GPT-5.5 leads on aggregate benchmark intelligence and is multimodal; Qwen3.7-max is text-only but offers a 1M context and a much lower price. See the comparison table above.

Qwen3.7-max vs Opus 4.8?

Opus 4.8 tops the intelligence leaderboard and accepts images; Qwen3.7-max trades that for lower cost and native Anthropic-API compatibility for Claude Code.

Qwen3.7-max vs Qwen Turbo?

Same 1M context and text-only modality; Turbo is the fast, cheap workhorse, while qwen3.7-max is the reasoning flagship with extended thinking — pick Turbo for volume, Max for hard reasoning.

What is the Qwen3.7-max context window?

1,000,000 tokens, with up to 65,536 output tokens per response.

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