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Model details

Qwen3.7 Max

Qwen3.7 Max is a proprietary Qwen release positioned as a versatile foundation for the agent era, emphasizing breadth and depth across coding, office productivity, and autonomous multi-step execution. According to the Qwen team's own announcement, it is designed to handle tasks ranging from frontend prototyping and complex multi-file engineering to workflow automation through MCP integrations and multi-agent orchestration. Its ability to sustain coherent reasoning over very long horizons was highlighted by a documented 35-hour, fully autonomous kernel optimization run that involved more than 1,000 tool calls, illustrating the kind of end-to-end agent workload it targets.

Beyond raw autonomy, Qwen3.7 Max is described as generalizing across agent scaffolds, performing consistently whether it is deployed through Claude Code, OpenClaw, Qwen Code, or other frameworks, which makes it attractive for teams that do not want to lock into a single orchestration stack. The model is also flagged as the documented replacement for older Qwen Max releases within Alibaba Cloud Model Studio, reflecting its role as the current flagship rather than a preview. In practical terms, it suits organizations building long-running coding agents, complex office automations, or any pipeline where a model must reason, call tools, and maintain coherence across very large working contexts without hand-holding.

Impossiblqwen/qwen3.7-maxqwen

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Provider
Impossibl
Model key
qwen/qwen3.7-max
Release date
May 21, 2026
Last updated
May 21, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$2.50
Output token cost
$7.50

Limits

Output tokens
65,536 tokens
Context window
1,000,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about Qwen3.7 Max

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Coverage

The ofox.ai developer guide, published May 24, 2026, describes Qwen3.7 Max-Preview as launched on May 19, 2026 via Alibaba Cloud Summit, positioning it as Alibaba's flagship reasoning model with a true 1-million-token context window and a 65,536-token maximum output — not a sliding-window approximation. A key technical Published benchmark scores include 56.6 on the Artificial Analysis Intelligence Index (top 10 globally and the highest-ranked Chinese model on the board at time of writing), 97.1 on HMMT 2026 February, and 90.4 on MRCR-v2 128k retrieval. The guide flags that extended thinking is on by default, which lifts quality but i

OpenRouter

CoverageBenchmark

DataCamp's long-form review covers Qwen3.7-Max, described as Alibaba's proprietary flagship positioned above Qwen3.6-Plus in the Qwen3.x family. The model is characterized as a "versatile agent foundation" built for the agent era, available as a closed-source API through Alibaba Cloud Model Studio with a 1 million toke The supplied excerpt reports that Qwen3.7-Max scores 92.4 on GPQA Diamond (versus Claude Opus 4.6 Max's 91.3) and 44.5 on the Apex reasoning benchmark (versus DeepSeek V4 Pro's 38.3). On Terminal Bench 2.0-Terminus it scores 69.7 versus Qwen3.6-Plus's 61.6, and on YC-Bench startup simulation it reached 2.08M USD total

Impossibl

CoverageBenchmark

The llm-stats.com model profile for Qwen3.7 Max, last updated September 1, 2026, confirms it as a proprietary model with a 1,048,576-token input context and a 65,536-token maximum output. Two hosting providers are listed with distinct rates — Novita charges $1.25 per million input tokens, $0.250 per million cached inpu Because the profile is a third-party aggregator rather than first-party Alibaba or Qwen documentation, pricing and performance figures should be cross-checked against provider pages before production use. The excerpt does not list Impossibl among the supported providers, so availability at https://api.impossibl.com/v1

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