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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.

NEAR AI Cloudqwen/qwen3.7-maxqwen

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Provider
NEAR AI Cloud
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
$2.80
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

NovitaAI

CoverageBenchmark

A comparative analysis (ofox.ai, June 2, 2026) confirms Qwen 3.7 Max was released on 2026-05-21 and ships with a 1M-token context window, text-only modality, and a 35-hour autonomous run ceiling supporting 1,000+ sequential tool calls. Both Qwen 3.7 Max and the sibling Qwen 3.7 Plus (released June 1, 2026) share these On coding-agent benchmarks, Qwen 3.7 Max holds the SWE-Bench Pro edge at 60.6%, but the article argues that for most coding, document, and agent workloads Qwen 3.7 Plus offers a more cost-effective choice given only a roughly 2-point benchmark differential. Max retains a modest latency advantage (7–15% faster cold path

NovitaAI

Coverage

The explainx.ai blog post dated May 22, 2026 frames Qwen 3.7-Max as Alibaba's "versatile agent foundation," unveiled on May 20, 2026 and served via Alibaba Cloud Model Studio, with a stated design goal of sustaining coherent reasoning across extremely long horizons rather than maximizing abstract reasoning test scores. The supplied excerpt's coding-agents benchmark table shows Qwen 3.7-Max scoring 69.7 on Terminal-Bench 2.0 (vs Opus 4.6 Max 65.4 and DeepSeek V4 Pro 67.9), 80.4 on SWE-Bench Verified, 60.6 on SWE-Bench Pro, and 53.5 on SciCode — corroborating the Artificial Analysis and SWE numbers from other on-subject candidates. Per

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

NovitaAI

CoverageBenchmark

The llm-stats.com scorecard for Qwen3.7-Max, last refreshed around September 10, 2026, places the model at an overall composite rank of 26 (LLM Stats Score 45.6) at a blended price of roughly $1.37 per million tokens, and shows it holding strong in vertical domains — top 2% in Finance (1 of 227), Legal (1 of 210), and The supplied excerpt also reports conversation-depth stability: a Turn 1 score of 15.4 (12 of 114) that holds at 15.5 for Turns 31+ (2 of 80), with a quality tracker marked Stable (+0.72σ across 337 votes, +1.91σ on Chat), suggesting Qwen3.7-Max maintains coherent output across long sessions. Per-dataset entries in the

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