Qwen2.5-VL-32B-Instruct vs Qwen3-VL-235B-A22B-Instruct — Trust Score Comparison

Side-by-side trust comparison of Qwen2.5-VL-32B-Instruct and Qwen3-VL-235B-A22B-Instruct. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.

Qwen2.5-VL-32B-Instruct scores 61.6/100 (C) while Qwen3-VL-235B-A22B-Instruct scores 61.6/100 (C) on the Nerq Trust Score. The two agents are essentially tied on overall trust. Qwen2.5-VL-32B-Instruct is a ai_assistant agent with 476 stars. Qwen3-VL-235B-A22B-Instruct is a ai_assistant agent with 369 stars.
61.6
C
Categoryai_assistant
Stars476
Sourcehuggingface_search_ext
Compliance87
Maintenance0
Documentation0
vs
61.6
C
Categoryai_assistant
Stars369
Sourcehuggingface_search_ext
Compliance87
Maintenance0
Documentation0

Detailed Metric Comparison

Metric Qwen2.5-VL-32B-Instruct Qwen3-VL-235B-A22B-Instruct
Trust Score61.6/10061.6/100
GradeCC
Stars476369
Categoryai_assistantai_assistant
SecurityN/AN/A
Compliance8787
Maintenance00
Documentation00
EU AI Act Riskminimalminimal
VerifiedNoNo

Verdict

Qwen2.5-VL-32B-Instruct (61.6) and Qwen3-VL-235B-A22B-Instruct (61.6) have nearly identical trust scores. Both are solid choices. The decision should come down to your specific use case, team preferences, and integration requirements rather than trust differences.

Detailed Analysis

Maintenance & Activity

Qwen2.5-VL-32B-Instruct demonstrates stronger maintenance activity (0/100 vs 0/100). This metric captures commit frequency, issue response times, and release cadence. Actively maintained tools receive faster security patches and are less likely to accumulate technical debt.

Documentation

Qwen2.5-VL-32B-Instruct has better documentation (0/100 vs 0/100). Good documentation reduces onboarding time and helps teams adopt the tool safely. This score evaluates README completeness, API documentation, code examples, and tutorial availability.

Community & Adoption

Qwen2.5-VL-32B-Instruct has 476 GitHub stars while Qwen3-VL-235B-A22B-Instruct has 369. Both tools have comparable community sizes, suggesting similar levels of ecosystem support and third-party resources.

When to Choose Each Tool

Choose Qwen2.5-VL-32B-Instruct if you need:

  • Larger community (476 vs 369 stars)

Choose Qwen3-VL-235B-A22B-Instruct if you need:

  • Consider if it better fits your specific use case

Switching from Qwen2.5-VL-32B-Instruct to Qwen3-VL-235B-A22B-Instruct (or vice versa)

When migrating between Qwen2.5-VL-32B-Instruct and Qwen3-VL-235B-A22B-Instruct, consider these factors:

  1. API Compatibility: Qwen2.5-VL-32B-Instruct (ai_assistant) and Qwen3-VL-235B-A22B-Instruct (ai_assistant) share similar interfaces since they are in the same category.
  2. Security Review: Run a security audit after migration. Check the Qwen2.5-VL-32B-Instruct safety report and Qwen3-VL-235B-A22B-Instruct safety report for known issues.
  3. Testing: Ensure your test suite covers all integration points before switching in production.
  4. Community Support: Qwen2.5-VL-32B-Instruct has 476 stars and Qwen3-VL-235B-A22B-Instruct has 369. Larger communities typically mean better Stack Overflow answers and migration guides.
Qwen2.5-VL-32B-Instruct Safety Report Qwen3-VL-235B-A22B-Instruct Safety Report Qwen2.5-VL-32B-Instruct Alternatives Qwen3-VL-235B-A22B-Instruct Alternatives

Related Pages

Frequently Asked Questions

Which is safer, Qwen2.5-VL-32B-Instruct or Qwen3-VL-235B-A22B-Instruct?
Based on Nerq's independent trust assessment, Qwen2.5-VL-32B-Instruct has a trust score of 61.6/100 (C) while Qwen3-VL-235B-A22B-Instruct scores 61.6/100 (C). Both agents are very close in overall trust. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.
How do Qwen2.5-VL-32B-Instruct and Qwen3-VL-235B-A22B-Instruct compare on security?
Qwen2.5-VL-32B-Instruct has a security score of N/A/100 and Qwen3-VL-235B-A22B-Instruct scores N/A/100. There is a notable difference in their security assessments. Qwen2.5-VL-32B-Instruct's compliance score is 87/100 (EU risk: minimal), while Qwen3-VL-235B-A22B-Instruct's is 87/100 (EU risk: minimal).
Should I use Qwen2.5-VL-32B-Instruct or Qwen3-VL-235B-A22B-Instruct?
The choice depends on your requirements. Qwen2.5-VL-32B-Instruct (ai_assistant, 476 stars) and Qwen3-VL-235B-A22B-Instruct (ai_assistant, 369 stars) serve similar use cases. On trust, Qwen2.5-VL-32B-Instruct scores 61.6/100 and Qwen3-VL-235B-A22B-Instruct scores 61.6/100. Review the full KYA reports for each agent before making a decision. Consider factors like integration requirements, documentation quality (0 vs 0), and maintenance activity (0 vs 0).

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Last updated: 2026-05-13 | Data refreshed weekly
Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.

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