Qwen2.5-VL-32B
Alibaba
Overall Trust Score
Advanced multimodal vision-language model from Alibaba achieving 42.9% on SWE-bench. Specialized for vision tasks with strong image understanding and competitive pricing.
Trust Vector
Performance & Reliability
Strong vision capabilities with good coding performance. 32B parameter size provides good balance.
task accuracy code87
task accuracy reasoning84
task accuracy general88
vision accuracy92
output consistency84
latency p50Value: 1.6s
context windowValue: 32,768 tokens
uptime96
Security
Adequate security with standard guardrails.
prompt injection resistance82
jailbreak resistance81
data leakage prevention78
output safety83
api security81
Privacy & Compliance
Limited privacy for Western markets. Asian data residency.
data residencyValue: China, Singapore, Malaysia
training data optout85
data retentionValue: 90 days
pii handling76
compliance certifications80
zero data retention73
Trust & Transparency
Moderate transparency with standard safety features.
explainability83
hallucination rate81
bias fairness79
uncertainty quantification80
model card quality86
training data transparency75
guardrails84
Operational Excellence
Good operational quality with open-source license.
api design quality85
sdk quality84
versioning policy82
monitoring observability81
support quality82
ecosystem maturity80
license terms90
✨ Strengths
- •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
⚠️ Limitations
- •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
📊 Metadata
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.