Llama 4 Maverick
Meta
Overall Trust Score
Meta's flagship open-source model with 400B parameters, native multimodal capabilities, and state-of-the-art performance. Best-in-class open-source option for on-premises deployment.
Trust Vector
Performance & Reliability
Excellent performance for an open-source model, approaching frontier proprietary models. Performance and latency depend heavily on deployment infrastructure.
task accuracy code89
task accuracy reasoning90
task accuracy general92
output consistency89
latency p50Value: Depends on hardware
latency p95Value: Depends on hardware
context windowValue: 128,000 tokens
uptimeValue: Self-hosted
Security
Security is customer-controlled with self-hosting. Excellent for data sovereignty but requires in-house security expertise.
prompt injection resistance78
jailbreak resistance75
data leakage prevention95
output safety82
api securityValue: Customer controlled
Privacy & Compliance
Exceptional privacy - best-in-class. Self-hosting provides complete data control, enabling any compliance framework.
data residencyValue: Customer controlled
training data optout100
data retentionValue: Customer controlled
pii handling95
compliance certifications90
zero data retention100
Trust & Transparency
Excellent transparency as open-source model. Full access to weights and detailed documentation.
explainability88
hallucination rate84
bias fairness82
uncertainty quantification85
model card quality95
training data transparency92
guardrails78
Operational Excellence
Strong operational maturity with massive open-source ecosystem. Requires in-house ML ops expertise.
api design qualityValue: Customer implemented
sdk quality88
versioning policy90
monitoring observability80
support quality82
ecosystem maturity92
license terms95
✨ Strengths
- •Best privacy and data sovereignty - complete on-premises control
- •Open-source with permissive commercial license
- •No recurring API costs - one-time infrastructure investment
- •Customizable and fine-tunable for specific domains
- •Excellent transparency with full model access
- •No vendor lock-in or rate limits
- •Best for highly regulated industries and government
⚠️ Limitations
- •Requires significant ML ops expertise and infrastructure
- •Performance and latency depend on hardware investment
- •Slightly behind frontier proprietary models on benchmarks
- •No managed service or enterprise support from Meta
- •Requires customer implementation of safety guardrails
- •High upfront hardware costs (8x A100/H100 GPUs minimum)
📊 Metadata
Use Case Ratings
code generation
Strong coding for open-source model. Excellent for on-premises code assistance with data sovereignty.
customer support
Good for self-hosted customer support requiring data privacy.
content creation
Excellent for content creation with strong multilingual capabilities.
data analysis
Good for data analysis with complete data control for sensitive datasets.
research assistant
Excellent for research requiring data sovereignty. Transparent open-source nature aids reproducibility.
legal compliance
Excellent for legal work requiring on-premises deployment. Complete data control enables any compliance framework.
healthcare
Outstanding for healthcare with on-premises HIPAA compliance. Best data sovereignty of any option.
financial analysis
Strong for financial services requiring data residency and air-gapped deployment.
education
Excellent for education with strong multilingual capabilities and customizability.
creative writing
Good for creative writing with ability to fine-tune for specific styles.