Skip to content
AI Tools
Llama (Meta) logo

Llama (Meta)

Free plan

The most popular open-source language model by Meta

4.5

0 reviews

Free plan

Pricing model

For developers

Audience

Platform Availability
API
Tags
Open SourceAPICodeProgrammingMultimodalLocal DeploymentMoEResearch

About Llama (Meta)

Llama (Meta) Overview

Llama is a family of open-source language models from Meta (Facebook) that has democratized access to powerful AI. Llama 4 Maverick, with 400 billion parameters, competes with the best closed-source models while remaining completely free.

How It Works

Llama 4 uses a Mixture-of-Experts architecture with 128 experts and 17 billion active parameters per query. The model was trained on 22 trillion tokens and supports a context window of up to 1 million tokens. It can be run locally via Ollama, vLLM, and other frameworks.

Key Capabilities

Llama is available through numerous providers: Together AI, Fireworks, Groq, Amazon Bedrock, and more. Pricing starts at $0.27 per million tokens. The model supports multimodal input (text + images), function calling, and fine-tuning.

Who It's For

Llama is ideal for companies and developers who want full control over their AI model: local deployment, fine-tuning on proprietary data, and no vendor lock-in. It serves as the foundation for thousands of commercial and research projects.

Llama (Meta) features

📖

Fully Open-Source

Open weights and documentation — run locally, fine-tune, and modify freely

🏗️

128 MoE Experts

400B parameters with 17B active — large model power at small model cost

📏

1M Context

1 million token context window for working with books and codebases

🌐

Multiple Providers

Available via Together AI, Groq, Fireworks, AWS Bedrock, and dozens more

🔧

Fine-Tuning

Fine-tune on your own data for specialized tasks

🖥️

Local Deployment

Run on your own hardware via Ollama, vLLM, llama.cpp

Technical specifications

Llama 4 Maverick

April 2025
Context
1M/ 1M out
API price
$0.27/ $0.85 out
Average score
71.8%
текстизображениятекст
Function CallingStructured OutputBatch InferenceFine-tuning
Benchmarks
GPQA
69.8%
MBPP
77.6%
MGSM
92.3%
MMLU
85.5%
DocVQA
94.4%
MathVista
73.7%

Data: ai-stat.ru · 2026-03-27

Pros and cons

Pros

  • Completely free and open-source
  • Can be run locally without internet
  • Competes with closed-source models in quality
  • 1M token context window
  • Massive ecosystem and community

Cons

  • No official chat interface from Meta
  • Requires technical knowledge to run
  • Larger models demand powerful hardware
  • Falls behind GPT-5 on the most complex tasks

Pricing

Popular

Open Source

Free
  • Open weights
  • Local deployment
  • Commercial use
  • All model sizes

API (Together)

$0.27/ 1M tokens
  • Llama 4 Maverick
  • $0.27 input / $0.85 output
  • Function Calling
  • 1M context

Try Llama (Meta)

Get started for free — registration takes just a couple of minutes

Go to Llama (Meta)

Rating and reviews

4,5

0 отзывов

5
00%
4
00%
3
00%
2
00%
1
00%

Reviews

Leave a review

Alternatives and similar tools

Frequently Asked Questions