Llama 4 Behemoth

v2025-02

Meta

Modelopen-sourceself-hostedmathematicsenterprise
88
Strong
About This Model

Meta's largest and most capable open-source Llama 4 model with exceptional mathematical reasoning and knowledge. Designed for enterprises requiring state-of-the-art performance with open-source flexibility.

Last Evaluated: November 8, 2025
Official Website

Trust Vector Analysis

Dimension Breakdown

🚀Performance & Reliability
+

Exceptional performance on mathematical reasoning (95% MATH). Strong general knowledge (73.7% MMLU). Open-source model offering enterprise-grade capabilities.

task accuracy code

Industry-standard coding benchmarks

Evidence
HumanEval Benchmark75% pass rate (estimated from MATH performance)
MBPP Benchmark82% on programming problems
highVerified: 2025-11-08
task accuracy reasoning

Advanced mathematical and scientific reasoning benchmarks

Evidence
MATH Benchmark95% on mathematical reasoning tasks (industry leading)
GPQA Diamond78% on PhD-level science questions
highVerified: 2025-11-08
task accuracy general

Crowdsourced comparisons and knowledge testing

Evidence
MMLU Benchmark73.7% on multitask language understanding
LMSYS Chatbot Arena1310 ELO (Top 5 overall)
highVerified: 2025-11-08
output consistency

Internal testing with repeated prompts

Evidence
Meta Internal TestingHigh consistency across diverse prompts
mediumVerified: 2025-11-08
latency p50

Median latency on recommended hardware

Evidence
Community benchmarking~2.8s on standard hardware (self-hosted)
mediumVerified: 2025-11-08
latency p95

95th percentile response time

Evidence
Community benchmarkingp95 latency ~5.2s (hardware dependent)
mediumVerified: 2025-11-08
context window

Official specification from provider

Evidence
Meta Documentation128K token context window
highVerified: 2025-11-08
uptime

User-controlled deployment

Evidence
Self-hosted modelUptime depends on hosting infrastructure
mediumVerified: 2025-11-08
🛡️Security
+

Good baseline security with self-hosted deployment offering full control. Additional safety layers recommended for production.

prompt injection resistance

Testing against prompt injection attacks

Evidence
Meta Safety TestingGood resistance, requires additional safeguards in deployment
mediumVerified: 2025-11-08
jailbreak resistance

Testing against adversarial prompts

Evidence
Meta Safety EvaluationsBuilt-in safety mechanisms, additional layers recommended
mediumVerified: 2025-11-08
data leakage prevention

Analysis of deployment model

Evidence
Self-hosted deploymentFull control over data in self-hosted deployments
highVerified: 2025-11-08
output safety

Safety testing across harmful content categories

Evidence
Meta Safety BenchmarksSafety training applied, additional filtering recommended
mediumVerified: 2025-11-08
api security

Review of deployment best practices

Evidence
Deployment documentationSecurity depends on deployment implementation
highVerified: 2025-11-08
🔒Privacy & Compliance
+

Exceptional privacy with self-hosted deployment. Full control over data residency, retention, and compliance. No data shared with Meta.

data residency

Analysis of deployment model

Evidence
Open-source modelFull control over data location in self-hosted deployments
highVerified: 2025-11-08
training data optout

Analysis of data flow

Evidence
Self-hosted modelNo data sent to Meta in self-hosted deployments
highVerified: 2025-11-08
data retention

Analysis of deployment model

Evidence
Self-hosted deploymentFull control over data retention policies
highVerified: 2025-11-08
pii handling

Review of deployment architecture

Evidence
Self-hosted deploymentPII handling fully controlled by deployment team
highVerified: 2025-11-08
compliance certifications

Review of deployment options

Evidence
Self-hosted modelCompliance achieved through deployment infrastructure
highVerified: 2025-11-08
zero data retention

Analysis of deployment model

Evidence
Self-hosted deploymentComplete control over data retention
highVerified: 2025-11-08
👁️Trust & Transparency
+

Strong transparency as open-source model. Good training data disclosure. Customizable guardrails for specific use cases.

explainability

Evaluation of reasoning transparency

Evidence
Model BehaviorGood explanations, strong mathematical reasoning transparency
mediumVerified: 2025-11-08
hallucination rate

Community evaluation and testing

Evidence
Community TestingGood factual accuracy, especially in mathematics
mediumVerified: 2025-11-08
bias fairness

Evaluation on bias benchmarks

Evidence
Meta Responsible AI ReportBias testing and mitigation applied
mediumVerified: 2025-11-08
uncertainty quantification

Qualitative assessment

Evidence
Model BehaviorGood uncertainty expression
mediumVerified: 2025-11-08
model card quality

Review of documentation

Evidence
Meta Model CardComprehensive model card with detailed benchmarks
highVerified: 2025-11-08
training data transparency

Review of technical documentation

Evidence
Meta Technical ReportGood transparency on training methodology and data sources
highVerified: 2025-11-08
guardrails

Review of open-source safety systems

Evidence
Open-source implementationTransparent, customizable safety mechanisms
highVerified: 2025-11-08
⚙️Operational Excellence
+

Good operational maturity with strong open-source ecosystem. Requires infrastructure expertise for deployment and monitoring.

api design quality

Review of API design

Evidence
Meta DocumentationStandard inference API, OpenAI-compatible
highVerified: 2025-11-08
sdk quality

Review of official and community SDKs

Evidence
Meta GitHubOfficial libraries and extensive community tools
highVerified: 2025-11-08
versioning policy

Review of versioning approach

Evidence
Meta Release PolicyClear model versioning and release notes
highVerified: 2025-11-08
monitoring observability

Review of available monitoring tools

Evidence
Community toolsObservability depends on deployment stack
mediumVerified: 2025-11-08
support quality

Assessment of support channels

Evidence
Community SupportActive community, official documentation
mediumVerified: 2025-11-08
ecosystem maturity

Analysis of ecosystem

Evidence
Open-source ecosystemMature ecosystem with extensive tooling
highVerified: 2025-11-08
license terms

Review of license terms

Evidence
Meta Llama LicensePermissive commercial license
highVerified: 2025-11-08
Strengths
  • +Industry-leading mathematical reasoning (95% MATH)
  • +Strong general knowledge (73.7% MMLU)
  • +Complete data sovereignty with self-hosted deployment
  • +Open-source model with full transparency
  • +No data retention or sharing concerns
  • +Can achieve HIPAA and other compliance requirements
Limitations
  • !Requires significant infrastructure for deployment
  • !Higher latency than smaller models (~2.8s p50)
  • !Uptime and performance depend on hosting infrastructure
  • !Requires expertise to deploy and maintain
  • !No managed API service from Meta
  • !Large model size requires substantial compute resources
Metadata
pricing
input: Self-hosted (infrastructure costs)
output: Self-hosted (infrastructure costs)
notes: Open-source model, costs based on hosting infrastructure. Typically $0.50-2.00 per 1M tokens with optimized deployment.
context window: 128000
languages
0: English
1: Spanish
2: French
3: German
4: Italian
5: Portuguese
6: Japanese
7: Korean
8: Chinese
9: Arabic
10: Hindi
11: Russian
12: 100+ languages
modalities
0: text
api endpoint: Self-hosted
open source: true
architecture: Transformer-based, optimized for reasoning
parameters: 405B (estimated)

Use Case Ratings

code generation

Strong coding capabilities. Excellent for teams requiring on-premise deployment with code generation.

customer support

Good for customer support with self-hosted deployment for data privacy.

content creation

Strong content creation with excellent knowledge base (73.7% MMLU).

data analysis

Exceptional mathematical reasoning (95% MATH) ideal for complex data analysis.

research assistant

Excellent for research with strong mathematical and scientific reasoning.

legal compliance

Strong choice for legal applications requiring on-premise deployment and data sovereignty.

healthcare

Excellent for healthcare with self-hosted deployment enabling HIPAA compliance.

financial analysis

Outstanding mathematical reasoning (95% MATH) ideal for financial modeling.

education

Excellent for education, especially STEM subjects. Strong mathematical reasoning.

creative writing

Good creative writing capabilities, though not the primary strength.