Meta Llama vs ServiceNow AI
A direct comparison using the real catalog fields currently available for both products.
Last updated
Meta Llama
Meta AI
ServiceNow AI
ServiceNow
Free to download and use commercially (with usage limits at scale). Meta provides API access via partners (AWS, Azure, NVIDIA). Open source under the Llama Community License.
Enterprise licensing. No public pricing. Annual contracts. Publicly traded (NOW). Demo available.
Open source model under Meta Llama Community License. Derivative models subject to same licence terms. Commercial use permitted with usage threshold restrictions.
Meta's data handling: no data sent to Meta when running locally. Cloud API providers subject to their own data handling policies.
SOC 2 Type II. ISO 27001. GDPR compliant. FedRAMP authorised. ISO 27018. Enterprise data handling agreements.
When running Llama locally, no data is sent to Meta or any external party. Meta's cloud API providers have their own data handling policies. Review the Llama Community License for commercial use restrictions above 700M MAU.
Enterprise service and workflow data processed on ServiceNow's cloud infrastructure. FedRAMP authorisation covers government deployments. Review Now Assist data handling for GenAI features.
- ✓Completely free to use without API fees — massive cost advantage for high-volume applications
- ✓Full data privacy when run locally — no data leaves company infrastructure
- ✓Largest ecosystem of fine-tuned derivatives, tools, and community support of any open source model
- ✓Llama 3.1 405B performance competitive with frontier proprietary models on many benchmarks
- ✓85% Fortune 500 adoption validates as the definitive enterprise workflow platform
- ✓Now Assist GenAI reduces mean time to resolution for IT and HR service tickets across large service operations
- ✓AI Agents autonomous execution handles routine workflows without human intervention at enterprise scale
- ✓FedRAMP authorisation addresses US government and regulated industry deployment requirements
- ✕Running 405B model requires significant GPU hardware investment for on-premise deployment
- ✕Smaller Llama variants (8B) less capable than frontier proprietary models for complex tasks
- ✕Meta's commercial use licence has restrictions at very large scale (700M+ MAU) — review for large applications
- ✕Enterprise-only pricing with significant annual licensing investment for large platform deployments
- ✕Implementation complexity is substantial — ServiceNow deployments require dedicated platform engineering
- ✕Platform breadth creates risk of underutilising AI capabilities without deliberate adoption programmes
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