Qwen3.7-Max

Name: Qwen3.7-Max
Author: Alibaba

AlibabaProprietaryPending Human Review

Qwen3.7-Max is a proprietary agent foundation model for coding, office automation, and sustained autonomous execution. Training and evaluation emphasize long-horizon tasks, cross-harness generalization, MCP integrations, and multi-step software engineering. Qwen provides the model through Alibaba Cloud Model Studio APIs. It supports million-token contexts and controllable reasoning effort; weights are not released. The later multimodal Plus and Flash tiers are separate hosted identities rather than aliases for this text-focused release. The June 10 serving update adds native visual understanding, represented as a dated variant.

2026-05-19

Detailed architecture not disclosed

Proprietary

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Specifications

Architecture: Detailed architecture not disclosed
License: Proprietary
Context Window: 1,000,000 tokens
Type: multimodal
Modalities: textimagevideo

Benchmark Scores

Advanced Specifications

Model Family: Qwen
API Access: Available
Chat Interface: Not Available
Variants: qwen3.7-max-2026-06-08 (native vision update, released 2026-06-10)

Capabilities & Limitations

Capabilities: reasoningcode generationtool uselong-context reasoning
Known Limitations: Hosted service access and limits differ from downloadable Qwen checkpoints.Tool execution depends on API options and the external execution environment.
Notable Use Cases: coding assistantsresearch agentsdocument analysis
Function Calling Support: Yes
Tool Use Support: Yes

Resources

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IndustryLLM is Alibaba’s open-weight language model for industrial procurement and engineering-standard reasoning. It adapts Qwen3.5-35B-A3B-Base through continued pre-training on industrial documents and transactions followed by task-focused supervised fine-tuning. The 35.95B-parameter hybrid mixture-of-experts network activates approximately 3B per token. Training targets informal buyer language, ambiguous product codes, contradictory specifications, and evidence-based constraint evaluation. Apache-licensed BF16 weights are published. Its 262K architectural context is distinct from 12,288-token packed fine-tuning sequences; this record uses the supported training length conservatively. The September 25 paper predates later discovery-index coverage.

Typetext

Parameters35.95B total, approximately 3B active

2026-09-25

Open Weights

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