Open Source AI
Llama API Cost 2026:
Free vs Self-Hosted vs Cloud Pricing
Meta's Llama models are free and open source — but running them costs money. Complete guide to Llama 3 API pricing via Groq, Together AI, AWS Bedrock, and self-hosting costs in 2026.
12 min read·Updated March 2026
Llama API Pricing Snapshot
Free
Model weights (download)
$0.05–$0.20
per 1M tokens (Groq/Together)
$0.002–$0.01
Self-hosted per 1M tokens
$0.99/hr
GPU to run Llama 3 8B
Llama 3 Cloud API Pricing (2026)
You don't need to self-host to use Llama models. Several cloud providers offer Llama via API:
| Provider | Model | Input $/1M | Output $/1M | Free Tier |
|---|---|---|---|---|
| Groq | Llama 3.3 70B | $0.59 | $0.79 | Rate-limited free tier |
| Groq | Llama 3.1 8B | $0.05 | $0.08 | Rate-limited free tier |
| Together AI | Llama 3.3 70B | $0.88 | $0.88 | $1 free credit |
| Together AI | Llama 3.1 8B | $0.18 | $0.18 | $1 free credit |
| AWS Bedrock | Llama 3.1 70B | $2.65 | $3.50 | No free tier |
| AWS Bedrock | Llama 3.1 8B | $0.30 | $0.60 | No free tier |
| Azure AI | Llama 3.1 70B | $2.68 | $3.54 | Azure free credits |
| Fireworks AI | Llama 3.1 70B | $0.90 | $0.90 | Rate-limited free tier |
Self-Hosting Llama 3: Real Hardware Costs
| Model | VRAM Required | GPU Needed | Cloud GPU Cost | Tokens/sec |
|---|---|---|---|---|
| Llama 3.2 1B | 2 GB | Any modern GPU | $0.20/hr | 500+ |
| Llama 3.2 3B | 6 GB | RTX 3060 or better | $0.40/hr | 300+ |
| Llama 3.1 8B | 16 GB | RTX 4080 / A100 40GB | $0.75–$1.00/hr | 100–200 |
| Llama 3.3 70B | 40–80 GB | A100 80GB or 2× A6000 | $2.00–$4.00/hr | 30–60 |
| Llama 3.1 405B | 800 GB | 8× A100 80GB | $16–$32/hr | 10–20 |
Llama vs GPT-4o vs Claude: Cost Comparison
For 10 million tokens/month:
- Groq Llama 3.1 8B: $0.50 (input) + $0.80 (output) = $1.30/month
- GPT-4o mini: $1.50 + $6.00 = $7.50/month
- GPT-4o: $25 + $100 = $125/month
- Claude Sonnet 4.5: $30 + $150 = $180/month
Llama via Groq is 6× cheaper than GPT-4o mini and 100× cheaper than GPT-4o at this scale.
When to Choose Llama Over OpenAI/Anthropic
- ✅ Cost is the #1 priority — Llama is 5–20× cheaper via API
- ✅ Data privacy is critical — self-host to keep all data on-premise
- ✅ Need fine-tuning — Llama can be fine-tuned; GPT-4o cannot
- ✅ High volume, moderate complexity — chatbots, classification, summarization
- ❌ Complex reasoning tasks — GPT-4o and Claude still lead here
- ❌ Production reliability needed — managed APIs (OpenAI, Anthropic) have better SLAs
- ❌ Vision/multimodal tasks — GPT-4o and Gemini have better vision capabilities
Groq: The Fastest (and Cheapest) Llama API
Groq uses custom LPU (Language Processing Unit) hardware that runs Llama at exceptional speed:
- Llama 3.1 8B at 750+ tokens/second (vs 50–80 tokens/sec on standard GPUs)
- Free tier available with rate limits (good for development)
- $0.05/M input + $0.08/M output for Llama 3.1 8B — cheapest quality API available
Compare Llama vs GPT-4o Costs
See side-by-side cost estimates for your exact usage volume.
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