77
Stack Score
Best for
Engineering teams who need a strong open-weight model for fine-tuning, on-prem deployment, or cheap high-volume inference.
At a glance
- Pricing
- free
- Setup time
- 1 hour
- Learning curve
- medium
- Last verified
- 5/19/2026
What we love
- ✓Best open-weight quality across the size spectrum
- ✓Self-hostable — full data and privacy control
- ✓Massive ecosystem of fine-tunes and tools
- ✓No API lock-in — run anywhere
Where it falls short
- −Frontier closed models still beat top Llama on hard reasoning
- −License has carve-outs above 700M monthly users
- −Self-hosting at scale requires real infra investment
Pricing
2 tiers
Open weights
$0
Llama Community License
- ✓Self-hosted
- ✓Commercial use under 700M MAU
- ✓Full weights available
Hosted (varies)
$0.05-$3
per million tokens
- ✓Groq, Together, Fireworks, Bedrock, etc.
- ✓Production SLAs
- ✓Various sizes
Why we picked it
When you need weights you can actually deploy yourself, this is still the default.
Overview
Meta's open-weight family (Llama 3.3, Llama 4 preview). Run locally via Ollama or hit hosted endpoints on Groq / Together / Bedrock. Free for commercial use up to 700M MAU.
Key features
- ●Open-weight Llama 3 and Llama 4 model family
- ●Sizes from 1B to 405B+ parameters
- ●Strong multilingual support including coding
- ●Vision-capable variants (Llama 3.2, Llama 4)
- ●Permissive license for most commercial use
- ●Active fine-tuning ecosystem on Hugging Face
- ●Available via every major cloud and inference provider
Best use cases
Private deployments
Run inference on-prem or in your VPC when data cannot leave the network.
Fine-tuned domain models
Train Llama on your proprietary corpus for specialized tasks.
Cost-optimized inference
Use providers like Groq, Together, or Fireworks for cheap and fast Llama serving.
Integrations
AWS BedrockSimilar tools
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