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.
Qwen3.7 Max
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.
API Usage Examples
curl --request POST "https://gptproto.com/v1/chat/completions" \
--header "Authorization: Bearer $GPTPROTO_API_KEY" \
--header "Content-Type: application/json" \
--data '{
"model": "qwen3.7-max",
"messages": [
{
"role": "user",
"content": "Hello"
}
]
}'Qwen3.7 Max pricing
Chat, coding agents & document work. Priced per 1M tokens — input, cached input and output are billed separately. GPTProto is 10% below official rates.
| Scenario | Qwen list | OpenRouter | GPTProto | You save / mo |
|---|---|---|---|---|
| Personal10M tokens / mo (4.8M cached) | $4.86 | $5.13 | $4.38 | −$0.49≈ $5.84 / yr |
| Team100M tokens / mo (48M cached) | $48.64 | $51.32 | $43.78 | −$4.86≈ $58.37 / yr |
| Business500M tokens / mo (240M cached) | $243.20 | $256.58 | $218.88 | −$24.32≈ $291.84 / yr |
Save $0.00 / month
Annual savings ≈ $0.00 · pay as you go
Related Models
All Models
Qwen3.7 MaxCurrent
Qwen · 1M context · $0.36/M input · $1.44/M output
Bytedance · 262K context · $0.0971/M input · $0.9714/M output
Bytedance · 262K context · $0.0971/M input · $0.9714/M output
Model
Price: GPTProto
vs Official
vs OpenRouter
Context
Stability
Qwen3.7 MaxCurrent
Qwen
$0.36 / $1.44per 1M tokens
-10%
-15%
1M
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.
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.
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.
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.
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.
Related Articles
Guides, comparisons, and updates related to this model.
All Articles
What Is GLM 5.2? Open-Weight Coding at 1/6 the Price
GLM 5.2 is Z.ai's open-weight, MIT-licensed coding model with a 1M-token context. See its features, benchmarks vs Claude Opus 4.8 and GPT-5.5, pricing, and how to run it.
What Is Wan 2.7? Guide to Alibaba's Thinking-Mode Model (2026)
Most guides say Wan 2.7 is open source. The first-party evidence says otherwise. What Alibaba's April 2026 model actually ships — and how to run it.
Is Seedance 2.5 Out Yet? Release Date and What We Actually Know (2026)
When's Seedance 2.5 coming, and what will it do? We sort the confirmed facts from the leaks—and compare it to the Seedance 2.0 you can use today.
Doubao API: The Complete Guide (2026) — Which Model to Call, and How
No Chinese account needed: call Seedream, Seedance and Seed from one endpoint. Which Doubao model to use, real pricing, and copy-paste code.