What is the context window of Qwen3.7-Max?

Qwen3.7-Max has a context window of 1M tokens.

When was Qwen3.7-Max released?

Qwen3.7-Max was released on 2026-05-20.

Which providers offer Qwen3.7-Max?

Qwen3.7-Max is available from 1 provider: Alibaba Cloud PAI-EAS.

What benchmarks has Qwen3.7-Max been tested on?

Qwen3.7-Max has been evaluated on 1 benchmark, including Chatbot Arena.

Qwen3.7-Max

Name: Qwen3.7-Max
Author: Alibaba

qwen3.7-max

Researched today

Last refreshed 2026-05-21. Next refresh: weekly.

ProprietaryRAGAgentsLong contextJSON / Tool use

Qwen3.7-Max is worth evaluating for rag, agents, and long context when its provider route and context window match the workload.
Decision context: RAG task fit, 1 tracked provider route, and research from 2026-05-21.

Use it for

Teams evaluating rag, agents, and long context
Workloads that can use a 1M context window
Buyers comparing 1 tracked provider route

Do not use it for

Vision or document-understanding workloads

Cheapest output

Alibaba Cloud PAI-EAS per 1M tokens

Provider routes

Tracked API hosts

Quality / dollar

Unknown

No task benchmark coverage yet

Freshness

2026-05-21

Researched today

fresh

Top use-case fit

RAG

Included by capability and metadata signals in the decision map.

Agents

Included by capability and metadata signals in the decision map.

Long context

Included by capability and metadata signals in the decision map.

Provider price ladder

Provider	Input / 1M	Output / 1M	Route
Alibaba Cloud PAI-EAS	-	-	ServerlessPartial

Benchmark peer barsfor RAG

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.

About

Qwen3.7-Max is Alibaba's flagship agentic reasoning model, announced at the Alibaba Cloud Summit on May 20, 2026. It features a 1M-token context window, extended-thinking (chain-of-thought) mode, and is designed for long-horizon autonomous tasks including coding, debugging, and multi-step workflows. The model is text-only (no vision input) and is available via Alibaba Cloud Model Studio (DashScope). Closed-weight; no open-source weights have been released.

Qwen3.7-Max has a 1M-token context window.

Capabilities

ReasoningFunction CallingTool Use

Benchmark Scores(1)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.