Meta Llama 3.3
by Meta
Open-source frontier model with enterprise-grade performance at zero licensing cost
Meta's flagship open-source LLM matching GPT-4 level performance. Llama 3.3 (70B/405B parameters) is free to use, self-hostable, and commercially licensed.
Enterprises needing data sovereignty, cost optimization, or fine-tuning
GPT-4 level performance at zero licensing cost
At a Glance
- Category
- AI Models & APIs
- Pricing
- Open-source (free), Self-hosted, Cloud inference (usage-based)
- Target Market
- Cost-conscious enterprises, On-premise/air-gapped deployments, Privacy-focused organizations, Startups and developers, Research institutions
- Deployment
- Open-source, Self-hosted, Cloud-hosted (via partners)
- Founded
- 2004
- Headquarters
- Menlo Park, CA
- Customers
- 400M+ downloads, 75% of Fortune 100 experimenting
- Integrations
- 500+
Key Features
- ✓Fully open-source
Apache 2.0 license, free commercial use
- ✓Self-hostable
Deploy on your own infrastructure
- ✓Multiple sizes
8B, 70B, 405B parameter variants
- ✓Fine-tuning friendly
Customize for your specific use case
- ✓GPT-4 level performance
Competitive with proprietary frontier models
- ✓Multimodal capable
Vision and text (Llama 3.2)
Capabilities
Use Cases
- •On-premise AI deployments
Run in your own datacenter or VPC
Zero licensing fees, full data control - •Custom fine-tuning
Specialize for industry-specific tasks
10-100x performance on domain tasks - •Privacy-first applications
Healthcare, finance, government
Full data sovereignty - •Cost optimization
Replace OpenAI/Anthropic at scale
90%+ cost savings vs cloud APIs - •Agentic workflows
Self-hosted autonomous agents
Ideal For
Best For
- ✓Self-hosted AI deployments
- ✓Data-sensitive enterprise use cases
- ✓Cost optimization (zero licensing fees)
- ✓Custom fine-tuning and specialization
- ✓Air-gapped or on-premise requirements
Integrations
Deployment
Market & Ratings
400M+ downloads, 75% of Fortune 100 experimenting
Leading open-source model, #1 on Hugging Face
Competitive Analysis
Strengths
- ✓Zero licensing costs
- ✓Full data control and privacy
- ✓Self-hostable and air-gappable
- ✓Fine-tuning friendly
- ✓GPT-4 level performance (405B variant)
- ✓Massive community support
- ✓Multiple size options (8B to 405B)
Weaknesses
- ✗Requires infrastructure and ML expertise to deploy
- ✗No official managed service from Meta
- ✗Slower than cloud APIs (unless using Groq)
- ✗Lower performance than GPT-5.4/Claude Opus
- ✗Limited multimodal capabilities vs Gemini
Pricing
Open Source
$0
Apache 2.0 license, free commercial use, self-hosting required
Cloud inference (Replicate, Together AI, etc.)
$0.60-$2.70/1M tokens (varies by provider and size)
Managed hosting, pay-per-use
Enterprise (self-hosted)
$0 licensing + infrastructure costs
Full control, unlimited usage, no per-token fees
Zero licensing fees. Pay only for compute infrastructure if self-hosting. Cloud providers offer managed hosting at competitive rates.
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