llama_index vs gpt4free — Trust Score Comparison

Side-by-side trust comparison of llama_index and gpt4free. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.

llama_index scores 67.1/100 (B-) while gpt4free scores 60.8/100 (C+) on the Nerq Trust Score. llama_index leads by 6.3 points. llama_index is a coding agent with 47,102 stars. gpt4free is a coding agent with 65,712 stars.
67.1
B-
Categorycoding
Stars47,102
Sourcegithub
Security1
Compliance100
Maintenance1
Documentation1
vs
60.8
C+
Categorycoding
Stars65,712
Sourcegithub
Security0
Compliance87
Maintenance1
Documentation0

Detailed Metric Comparison

Metric llama_index gpt4free
Trust Score67.1/10060.8/100
GradeB-C+
Stars47,10265,712
Categorycodingcoding
Security10
Compliance10087
Maintenance11
Documentation10
EU AI Act RiskN/Aminimal
VerifiedNoNo

Verdict

llama_index leads with a trust score of 67.1/100 compared to gpt4free's 60.8/100 (a 6.3-point difference). llama_index scores higher on security (1 vs 0), compliance (100 vs 87). However, gpt4free has stronger community adoption (65,712 vs 47,102 stars). Both agents should be evaluated based on your specific requirements.

Detailed Analysis

Security

llama_index leads on security with a score of 1/100 compared to gpt4free's 0/100. This score reflects dependency vulnerability analysis, known CVE exposure, and security best practices. A higher security score means fewer known vulnerabilities and better security hygiene in the codebase.

Maintenance & Activity

llama_index demonstrates stronger maintenance activity (1/100 vs 1/100). 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

llama_index has better documentation (1/100 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

llama_index has 47,102 GitHub stars while gpt4free has 65,712. Both tools have comparable community sizes, suggesting similar levels of ecosystem support and third-party resources.

When to Choose Each Tool

Choose llama_index if you need:

  • Higher overall trust score — more reliable for production use
  • Stronger security profile with fewer known vulnerabilities
  • Better documentation for faster onboarding

Choose gpt4free if you need:

  • Larger community (65,712 vs 47,102 stars)

Switching from llama_index to gpt4free (or vice versa)

When migrating between llama_index and gpt4free, consider these factors:

  1. API Compatibility: llama_index (coding) and gpt4free (coding) share similar interfaces since they are in the same category.
  2. Security Review: Run a security audit after migration. Check the llama_index safety report and gpt4free safety report for known issues.
  3. Testing: Ensure your test suite covers all integration points before switching in production.
  4. Community Support: llama_index has 47,102 stars and gpt4free has 65,712. Larger communities typically mean better Stack Overflow answers and migration guides.
llama_index Safety Report gpt4free Safety Report llama_index Alternatives gpt4free Alternatives

Related Pages

Frequently Asked Questions

Which is safer, llama_index or gpt4free?
Based on Nerq's independent trust assessment, llama_index has a trust score of 67.1/100 (B-) while gpt4free scores 60.8/100 (C+). The 6.3-point difference suggests llama_index has a stronger trust profile. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.
How do llama_index and gpt4free compare on security?
llama_index has a security score of 1/100 and gpt4free scores 0/100. Both have comparable security profiles. llama_index's compliance score is 100/100 (EU risk: N/A), while gpt4free's is 87/100 (EU risk: minimal).
Should I use llama_index or gpt4free?
The choice depends on your requirements. llama_index (coding, 47,102 stars) and gpt4free (coding, 65,712 stars) serve similar use cases. On trust, llama_index scores 67.1/100 and gpt4free scores 60.8/100. Review the full KYA reports for each agent before making a decision. Consider factors like integration requirements, documentation quality (1 vs 0), and maintenance activity (1 vs 1).

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Last updated: 2026-05-21 | 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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