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Llama 3.1 405B

Meta

87·Strong

Overall Trust Score

Meta's largest and most capable open-source model with 405 billion parameters. Offers complete transparency, self-hosting capabilities, and competitive performance with proprietary models.

meta
open-source
Version: llama-3.1-405b
Last Evaluated: November 7, 2025
Official Website →

Trust Vector

Performance & Reliability

86
task accuracy code
84
Methodology
Industry-standard coding benchmarks
Evidence
HumanEval
80.5% pass rate
Date: 2024-07-23
Confidence: highLast verified: 2025-11-07
task accuracy reasoning
83
Methodology
Mathematical and scientific reasoning benchmarks
Evidence
MATH
64.4% accuracy
Date: 2024-07-23
GPQA
51.2% on graduate-level science
Date: 2024-07-23
Confidence: highLast verified: 2025-11-07
task accuracy general
87
Methodology
Comprehensive knowledge testing
Evidence
MMLU
85.2% on graduate-level knowledge
Date: 2024-07-23
Confidence: highLast verified: 2025-11-07
output consistency
85
Methodology
Community evaluation and testing
Evidence
Community Testing
Good consistency reported in community testing
Date: 2024-09-15
Confidence: mediumLast verified: 2025-11-07
latency p50
Value: Varies by deployment
Methodology
Third-party hosting performance
Evidence
Together AI
~3.5s via hosted API (hardware dependent for self-hosting)
Date: 2024-08-01
Confidence: mediumLast verified: 2025-11-07
Note: Self-hosted performance varies significantly based on infrastructure
latency p95
Value: Varies by deployment
Methodology
Third-party hosting performance
Evidence
Together AI
~7.0s via hosted API
Date: 2024-08-01
Confidence: mediumLast verified: 2025-11-07
uptime sla
Value: Deployment dependent
Methodology
Deployment model analysis
Evidence
Self-hosted
User-controlled uptime for self-hosted deployments
Date: 2024-07-23
Confidence: highLast verified: 2025-11-07
Note: Self-hosting offers complete control over uptime
context window
Value: 128,000 tokens
Methodology
Official model specifications
Evidence
Meta Documentation
128K token context window
Date: 2024-07-23
Confidence: highLast verified: 2025-11-07
multimodal support
Value: Text-only
Methodology
Official model capabilities
Evidence
Meta Documentation
Text-only model
Date: 2024-07-23
Confidence: highLast verified: 2025-11-07

Security

78
jailbreak resistance
75
Methodology
Safety testing and red teaming
Evidence
Meta Safety Report
Safety fine-tuning applied, but open model allows modification
Date: 2024-07-23
Confidence: mediumLast verified: 2025-11-07
Note: Open weights mean users can modify safety guardrails
prompt injection defense
73
Methodology
Community security testing
Evidence
Community Testing
Standard defenses, user-configurable
Date: 2024-09-15
Confidence: mediumLast verified: 2025-11-07
data leakage prevention
80
Methodology
Architecture review
Evidence
Self-hosted Model
Complete data isolation when self-hosted
Date: 2024-07-23
Confidence: highLast verified: 2025-11-07
Note: Self-hosting provides complete control over data
adversarial robustness
78
Methodology
Adversarial testing by Meta
Evidence
Meta Safety Testing
Robust to common adversarial attacks in testing
Date: 2024-07-23
Confidence: mediumLast verified: 2025-11-07
content filtering
82
Methodology
Safety tooling review
Evidence
Llama Guard
Llama Guard available for content moderation
Date: 2024-07-23
Confidence: mediumLast verified: 2025-11-07
Note: Requires separate Llama Guard deployment

Privacy & Compliance

96
data retention
100
Methodology
Deployment model analysis
Evidence
Self-hosted Model
Complete control over data retention when self-hosted
Date: 2024-07-23
Confidence: highLast verified: 2025-11-07
Note: Zero external data transmission in self-hosted deployments
gdpr compliance
95
Methodology
Privacy architecture review
Evidence
Self-hosted Model
Full GDPR compliance control in self-hosted setup
Date: 2024-07-23
Confidence: highLast verified: 2025-11-07
hipaa eligible
95
Methodology
Healthcare compliance assessment
Evidence
Self-hosted Model
HIPAA compliance possible with proper self-hosted infrastructure
Date: 2024-07-23
Confidence: highLast verified: 2025-11-07
soc2 certified
90
Methodology
Deployment architecture review
Evidence
Self-hosted Model
SOC 2 depends on hosting infrastructure
Date: 2024-07-23
Confidence: highLast verified: 2025-11-07
Note: Users responsible for their own SOC 2 compliance
data sovereignty
100
Methodology
Deployment model analysis
Evidence
Self-hosted Model
Complete data sovereignty with self-hosting
Date: 2024-07-23
Confidence: highLast verified: 2025-11-07
Note: Best-in-class data sovereignty
encryption at rest
95
Methodology
Deployment architecture review
Evidence
Self-hosted Model
User-controlled encryption at rest
Date: 2024-07-23
Confidence: highLast verified: 2025-11-07
encryption in transit
95
Methodology
Deployment architecture review
Evidence
Self-hosted Model
User-controlled TLS configuration
Date: 2024-07-23
Confidence: highLast verified: 2025-11-07

Trust & Transparency

95
model documentation
95
Methodology
Documentation completeness review
Evidence
Meta Model Card
Comprehensive model card with detailed documentation
Date: 2024-07-23
Confidence: highLast verified: 2025-11-07
training data transparency
85
Methodology
Public documentation review
Evidence
Meta Documentation
Training data composition and size disclosed (15T tokens)
Date: 2024-07-23
Confidence: highLast verified: 2025-11-07
Note: Good transparency on data size and composition
safety testing transparency
92
Methodology
Safety documentation review
Evidence
Meta Safety Report
Detailed safety evaluations published
Date: 2024-07-23
Confidence: highLast verified: 2025-11-07
bias evaluation
90
Methodology
Bias benchmarks review
Evidence
Meta Model Card
Bias testing results disclosed
Date: 2024-07-23
Confidence: highLast verified: 2025-11-07
decision explainability
100
Methodology
Model accessibility assessment
Evidence
Open Weights
Complete model transparency with open weights
Date: 2024-07-23
Confidence: highLast verified: 2025-11-07
Note: Full model inspection possible
versioning changelog
95
Methodology
Version management review
Evidence
Meta Releases
Clear versioning with detailed release notes
Date: 2024-07-23
Confidence: highLast verified: 2025-11-07

Operational Excellence

82
deployment flexibility
100
Methodology
Deployment options review
Evidence
Open Model
Self-host anywhere, cloud, on-prem, edge, or via APIs
Date: 2024-07-23
Confidence: highLast verified: 2025-11-07
Note: Maximum deployment flexibility
api reliability
85
Methodology
Third-party API monitoring
Evidence
Third-party APIs
~99.5% uptime via major providers
Date: 2024-10-01
Confidence: mediumLast verified: 2025-11-07
Note: Varies by API provider
rate limits
100
Methodology
Deployment model analysis
Evidence
Self-hosted Model
No rate limits when self-hosted
Date: 2024-07-23
Confidence: highLast verified: 2025-11-07
cost efficiency
75
Methodology
Cost analysis
Evidence
Together AI Pricing
$3.00 per 1M input tokens via API, infrastructure costs for self-hosting
Date: 2024-10-01
Confidence: mediumLast verified: 2025-11-07
Note: Free to use, but requires significant infrastructure for self-hosting (8x H100 GPUs minimum)
monitoring observability
70
Methodology
Tooling availability assessment
Evidence
Self-hosted Model
User-implemented monitoring for self-hosted
Date: 2024-07-23
Confidence: mediumLast verified: 2025-11-07
Note: Requires custom monitoring implementation
support quality
60
Methodology
Support channels review
Evidence
Community Support
Community support via GitHub and forums, no official support
Date: 2024-09-15
Confidence: mediumLast verified: 2025-11-07
Note: Relies on community support

✨ Strengths

  • •Complete transparency with open weights
  • •Best-in-class data sovereignty and privacy control
  • •Maximum deployment flexibility (cloud, on-prem, edge)
  • •No vendor lock-in or rate limits when self-hosted
  • •Excellent documentation and model cards
  • •Competitive performance with proprietary models
  • •Strong community support and ecosystem

⚠️ Limitations

  • •Requires significant infrastructure for self-hosting (8x H100 GPUs minimum)
  • •No official commercial support
  • •Text-only (no native vision)
  • •Safety guardrails can be modified (security consideration)
  • •Higher latency compared to smaller models
  • •Complex deployment and maintenance

📊 Metadata

license: Llama 3.1 Community License (open for commercial use)
architecture: Transformer with Grouped-Query Attention
parameters: 405 billion
training cutoff: December 2023
languages supported: Multilingual (8 languages optimized)
function calling: true
json mode: true
streaming: true

Use Case Ratings

code generation

84

Strong coding capabilities with complete control

customer support

82

Good performance, self-hosting ideal for sensitive data

content creation

85

Strong creative capabilities with full customization

data analysis

83

Good analytical capabilities

research assistant

84

128K context with complete data privacy

healthcare

88

Self-hosting ideal for HIPAA compliance and sensitive data

legal compliance

87

Complete confidentiality with self-hosting

education

83

Good capabilities with full control over content

creative writing

84

Good creative capabilities with customization options