Llama 4 Behemoth
v2025-02Meta
Meta's announced 2T-total/288B-active parameter Llama 4 teacher model that was NEVER RELEASED. It remains 'announced, not released' as of July 2026 — effectively shelved (never formally cancelled): Meta gave no update when asked in January 2026 and has effectively exited open-weight frontier releases, shipping the proprietary closed-weight 'Muse Spark' (April 8, 2026) instead. Scores reflect unverifiable preview-era claims; the model is not available for any deployment.
Trust Vector Analysis
Dimension Breakdown
🚀Performance & Reliability+
Preview-era claims: exceptional mathematical reasoning (95% MATH) and strong general knowledge (73.7% MMLU). The model was never released, so these results cannot be independently verified.
Industry-standard coding benchmarks
Advanced mathematical and scientific reasoning benchmarks
Crowdsourced comparisons and knowledge testing
Internal testing with repeated prompts
Median latency on recommended hardware
95th percentile response time
Official specification from provider
User-controlled deployment
🛡️Security+
Good baseline security with self-hosted deployment offering full control. Additional safety layers recommended for production.
Testing against prompt injection attacks
Testing against adversarial prompts
Analysis of deployment model
Safety testing across harmful content categories
Review of deployment best practices
🔒Privacy & Compliance+
Exceptional privacy with self-hosted deployment. Full control over data residency, retention, and compliance. No data shared with Meta.
Analysis of deployment model
Analysis of data flow
Analysis of deployment model
Review of deployment architecture
Review of deployment options
Analysis of deployment model
👁️Trust & Transparency+
Strong transparency as open-source model. Good training data disclosure. Customizable guardrails for specific use cases.
Evaluation of reasoning transparency
Community evaluation and testing
Evaluation on bias benchmarks
Qualitative assessment
Review of documentation
Review of technical documentation
Review of open-source safety systems
⚙️Operational Excellence+
Operational scores are largely theoretical: the model was never released, so no deployment, support, or ecosystem exists for it. Meta shipped the closed-weight Muse Spark (April 2026) instead.
Review of API design
Review of official and community SDKs
Review of versioning approach
Review of available monitoring tools
Assessment of support channels
Analysis of ecosystem
Review of license terms
- +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
- !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
- !Never released: still announced-only as of July 2026; Meta gave no update in January 2026 and pivoted to the closed-weight Muse Spark (April 8, 2026), so weights are unavailable
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.