Meta API Pricing
Open-source Llama models powering the AI community
16 paid models · 9 free · Price range: $0.02 - $4.00 /1M
Last updated: Aug 8, 2026
About Meta
Meta's Llama series has become the foundation of the open-source AI ecosystem. Llama 3 models are available for free commercial use and power countless applications through various hosting providers. The models offer strong performance across general tasks and have spawned numerous fine-tuned variants.
Key Highlights
- Free for commercial use (with license)
- Largest open-source model ecosystem
- Strong community and fine-tuned variants
- Available on multiple cloud providers
- Llama 3.3 70B matches larger models
Pricing Features
- Pay-per-token billing
- Prompt Caching (discounted)
Models are free to download and self-host. API access available through partners like Together AI, Groq, Fireworks at competitive rates.
API Features
Common Use Cases
- • Self-Hosted Deployments
- • Fine-Tuning Projects
- • Research
- • Cost-Sensitive Applications
- • Privacy-Focused Solutions
📊 Meta Model Comparison
Compare all models side by side. Sorted by total price (input + output).
| Model | Tier | Input /1M | Output /1M | Total /1M | Context | Best For |
|---|---|---|---|---|---|---|
| Llama 3.2 3B Instruct | Budget | $0.02 | $0.02 | $0.04 | 131k | General tasks |
| Llama 3.1 8B Instruct | Budget | $0.02 | $0.05 | $0.07 | 131k | General tasks |
| Llama 3 8B Instruct | Budget | $0.03 | $0.04 | $0.07 | 8k | General tasks |
| Llama Guard 3 8B | Budget | $0.02 | $0.06 | $0.08 | 131k | General tasks |
| Llama 3.2 11B Vision Instruct | Budget | $0.05 | $0.05 | $0.10 | 131k | Image analysis |
| Llama 3.2 1B Instruct | Budget | $0.03 | $0.20 | $0.23 | 60k | General tasks |
🎯 Which Meta Model Should You Choose?
Quick recommendations based on your use case.
💰 Meta Monthly Cost Examples
Estimated monthly costs for common use cases.
| Use Case | Monthly Usage | Llama 3.2 3B Instruct (Budget) |
Muse Spark 1.2 (Flagship) |
|---|---|---|---|
|
Customer Service Bot
1000 conversations/day
|
500k input 200k output |
$0.01/mo | $1.48/mo |
|
Code Assistant
200 requests/day
|
1.0M input 500k output |
$0.03/mo | $3.38/mo |
|
Data Analysis
500 analyses/day
|
2.0M input 300k output |
$0.05/mo | $3.77/mo |
⚔️ Meta vs Competitors
How does {brand} compare to other major AI providers?
| Brand | Model | Input /1M | Output /1M | Total /1M | Context | vs {brand} |
|---|---|---|---|---|---|---|
|
Meta
|
Muse Spark 1.2 Current | $1.25 | $4.25 | $5.50 | 1.0M | — |
OpenAI
|
Codex Mini | $1.50 | $6.00 | $7.50 | 200k | 36% more |
|
OpenAI
|
GPT-5.2 Pro | $21.00 | $168.00 | $189.00 | 400k | 3336% more |
|
OpenAI
|
GPT-5.2 | $1.75 | $14.00 | $15.75 | 400k | 186% more |
|
OpenAI
|
GPT-5.1-Codex-Max | $1.25 | $10.00 | $11.25 | 400k | 105% more |
|
OpenAI
|
GPT-5.1 | $1.25 | $10.00 | $11.25 | 400k | 105% more |
|
OpenAI
|
GPT-5.1-Codex | $1.25 | $10.00 | $11.25 | 400k | 105% more |
All Models
❓ Meta Pricing FAQ
What is the cheapest Meta model?
The cheapest Meta model is Llama 3.2 3B Instruct at $0.04 per 1M tokens (input + output combined).
What is the maximum context length for Meta models?
Meta models support up to 1.3M context length, allowing you to process large documents and maintain long conversations.
How do I choose between Meta models?
For budget projects, choose the cheapest model. For code generation, prioritize low output price. For complex reasoning, choose models with reasoning capability. Use our scenario guide above.
Does Meta support prompt caching?
Yes, Meta supports prompt caching which can significantly reduce costs for repeated prompts. Check individual model pages for caching prices.