Meta
OrganizationMeta AI Models, Features, Capabilities & Reviews
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About Meta
Meta is an AI company developing large language models. Its model lineup includes Llama-3.2-1B-Instruct, Llama-3.1-8B-Instruct, Prompt-Guard-86M, Llama-3.2-3B-Instruct, Meta-Llama-3-8B-Instruct, covering capabilities such as text generation, coding, reasoning, and multimodal tasks.
Meta AI Models
Explore 36 AI models available from this brand.
Llama-3.2-1B-Instruct
stableLarge language model with 131,072 context window.
Llama-3.1-8B-Instruct
stableLarge language model with 131,072 context window.
Prompt-Guard-86M
stableLarge language model with 512 context window.
Llama-3.2-3B-Instruct
stableLarge language model with 131,072 context window.
Meta-Llama-3-8B-Instruct
stableLarge language model with 8,192 context window.
Llama-3.3-70B-Instruct
stableLarge language model with 8,192 context window.
Llama-2-7b-hf
stableLarge language model with 4,096 context window.
Llama-3.2-1B
stableLarge language model with 131,072 context window.
Llama-2-7b-chat-hf
stableLarge language model with 4,096 context window.
Llama-3.1-8B
stableLarge language model with 131,072 context window.
Meta-Llama-3-8B
stableLarge language model with 8,192 context window.
Llama-3.1-405B-FP8
stableLarge language model with 131,072 context window.
Pricing
Pricing for models developed by this brand across available providers.
| Modèle | Fournisseur | Entrée | Sortie | Cache | Batch |
|---|---|---|---|---|---|
| Llama 3.1 405B | Together AI | 0,736 €/1M | 2,208 €/1M | 0,184 €/1M | 0,368 €/1M |
Features & Capabilities
| Capability | Support |
|---|---|
| Text Generation | |
| Code Generation | |
| Reasoning | |
| Vision | |
| Audio | |
| Function Call | |
| MCP | |
| JSON Mode | |
| Embedding |
What Can Meta Be Used For?
Developers
- Code generation and completion
- Debugging and refactoring
- API integration and automation
Businesses
- Customer support automation
- Data analysis and reporting
- Content generation and summarization
Researchers
- Reasoning and scientific tasks
- Literature review
- Hypothesis exploration
Meta Pros and Cons
Advantages
- Multiple large language models available
- API access for integration
- Supports text, code, reasoning, and more
Limitations
- Ecosystem may be smaller than established providers
- Availability and features may vary by region
- Pricing can change with model updates
Frequently Asked Questions
What is Meta?▼
Does Meta have an API?▼
Is Meta free to use?▼
Is Meta open source?▼
How does Meta compare with other AI providers?▼
Last updated: 9/23/2026