Qwen2.5-VL-32B
v20251020Alibaba
Multimodal vision-language model from Alibaba, now three generations behind: superseded by Qwen3-VL (Sep 2025), the natively-multimodal Qwen3.5 (released 2026-02-16), and the multimodal-input Qwen3.6 open models (Apr 2026). Historically achieved 42.9% on SWE-bench with strong image understanding at competitive pricing; new deployments should evaluate Qwen3.5/Qwen3.6 instead.
Trust Vector Analysis
Dimension Breakdown
🚀Performance & Reliability+
Strong vision capabilities with good coding performance. 32B parameter size provides good balance.
Standard coding benchmarks
Reasoning benchmarks
Vision-specific benchmarks
Internal testing
🛡️Security+
Adequate security with standard guardrails.
OWASP testing
Adversarial testing
Policy analysis
Security review
🔒Privacy & Compliance+
Limited privacy for Western markets. Asian data residency.
Documentation review
Policy analysis
Documentation review
Certification verification
👁️Trust & Transparency+
Moderate transparency with standard safety features.
Confidence assessment
Documentation review
Disclosure review
⚙️Operational Excellence+
Good operational quality with open-source license.
Policy review
Tool review
Support assessment
Ecosystem analysis
- +Strong vision capabilities for image understanding
- +Apache 2.0 open-source license
- +Competitive pricing for vision model
- +Good for visual data analysis and education
- +32B parameters provide good capability/efficiency balance
- +Strong for Asian languages and markets
- !Limited data residency for Western markets
- !90-day data retention (not ephemeral)
- !Fewer compliance certifications for Western markets
- !Smaller context window (32K tokens)
- !Lower coding benchmarks (42.9% SWE-bench)
- !Growing but less mature ecosystem
- !Superseded: three generations behind, replaced by Qwen3-VL (Sep 2025), the natively-multimodal Qwen3.5 (2026-02-16), and the Qwen3.6 open models (Apr 2026)
Use Case Ratings
code generation
Good coding with vision support. Useful for UI/UX code generation from images.
customer support
Strong for visual customer support. Can analyze product images and screenshots.
content creation
Good for content with visual elements. Can describe and analyze images.
data analysis
Excellent for visual data analysis. Can analyze charts, graphs, and diagrams.
research assistant
Strong for research with visual materials. Can analyze papers with diagrams.
legal compliance
Limited compliance for Western markets. Data residency concerns.
healthcare
Good for medical image analysis but limited Western compliance.
financial analysis
Good for analyzing financial charts and visual reports.
education
Excellent for education with visual learning materials. Can explain diagrams.
creative writing
Good for visual storytelling and image-based creative content.