Back to Blog
Open Source

Qwen 3.7 Max vs. Plus: Which Model Should You Use for Your Project?

On May 20, 2026, Alibaba Cloud officially unveiled the Qwen 3.7 series at the Apsara Summit. The lineup features two distinct models—Max and Plus—each tailored for different operational strengths.

For developers and businesses trying to decide which model fits their specific use case, we have analyzed the technical specifications and performance data to provide a clear comparison.

The Core Difference: Multimodal Capabilities

The most critical differentiator between Qwen 3.7-Max and Qwen 3.7-Plus is multimodal support. While Max is a powerhouse for text-based reasoning, Plus is designed to "see."

FeatureQwen 3.7-MaxQwen 3.7-Plus
ModalityText-onlyText + Image
Context Window1,000,000 tokens1,000,000 tokens
Max Output65,536 tokens65,536 tokens
Thinking ModeSupportedSupported
Function CallingSupportedSupported
Built-in ToolsWeb Search, Code InterpreterNot Supported
AvailabilityGeneral AvailabilityPreview Phase

Qwen 3.7-Plus excels in screenshot understanding, document analysis (PDFs, charts), UI agent flows, and image-based Q&A. Qwen 3.7-Max, while restricted to text, offers superior performance in pure reasoning and complex coding tasks.

Performance Benchmarks: Max Leads in Text Intelligence

Qwen 3.7-Max delivers impressive scores across high-difficulty benchmarks, positioning it as a top-tier model for autonomous agentic tasks:

BenchmarkQwen 3.7-MaxClaude Opus 4.6GPT-5.4 Pro
GPQA Diamond92.4%91.3%94.4%
SWE-bench Verified80.4%80.8%
SWE-bench Pro60.6%
Terminal-Bench 2.069.7%
HMMT 202697.1%
LiveCodeBench91.6

Max currently leads among Chinese models in text-based benchmarks (Arena Elo 1475, ranking 13th overall for text). Meanwhile, Qwen 3.7-Plus (Preview) has already secured the 16th spot in the LM Arena Vision category, validating its multimodal capabilities.

Pricing and Cost Analysis

From a cost perspective, Qwen 3.7-Max is positioned as a highly competitive alternative to other frontier models.

ItemQwen 3.7-MaxQwen 3.7-Plus
Input / 1M tokens$2.50TBD (Preview)
Output / 1M tokens$7.50TBD (Preview)
Cached Input / 1M tokens$0.25

At $2.50 for input and $7.50 for output, Qwen 3.7-Max is roughly one-third the price of Claude Opus 4.7 ($5/$25), while outperforming Opus 4.6 on the GPQA Diamond benchmark. Pricing for Plus remains unannounced, but it is expected to be comparable to or slightly lower than Max. Currently, Plus is available for free during its preview phase.

Decision Guide: Which Model to Choose?

Choose Qwen 3.7-Max if you need:

  • Advanced Coding: High performance on SWE-bench and SWE-bench Pro.
  • STEM Reasoning: Top-tier results in GPQA Diamond and HMMT.
  • Long-term Agent Execution: Capable of 35-hour autonomous runs with over 1,100 tool calls.
  • Integrated Tools: Native access to Web Search and Code Interpreter.
  • Cost Efficiency: High performance-to-price ratio.

Choose Qwen 3.7-Plus if you need:

  • Visual Understanding: Analyzing screenshots, diagrams, or photos.
  • Document Intelligence: Parsing complex PDFs and charts.
  • UI Automation: Building AI agents that interact with visual interfaces.
  • Multimodal Reasoning: Tasks that require processing both text and image inputs simultaneously.

The Hybrid Strategy: Using Both

For many production environments, the most efficient approach is a hybrid deployment. For example: use Max for code review and complex bug fixing, and switch to Plus when the agent needs to analyze a screenshot of the bug to identify the UI failure.

Furthermore, Qwen 3.7 maintains API compatibility with Anthropic. This allows developers to switch from Claude Code or other Claude-centric tools to Qwen with minimal integration overhead.

Summary Matrix

RequirementRecommended Model
Text Reasoning & CodingQwen 3.7-Max
Image Understanding & MultimodalQwen 3.7-Plus
Absolute Peak Performance (Budget No Object)Claude Opus 4.7
Maximum Cost-EfficiencyDeepSeek V4 Flash

The brilliance of the Qwen 3.7 series lies in its bifurcated approach: Max provides the "depth" for reasoning, while Plus providing the "breadth" for multimodal interaction. Rather than looking for a single "strongest" model, users should select based on the specific modality of their task.

Comments (0)

Share:XHatena

Post a Comment

Loading...