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Llama

⭐⭐⭐⭐⭐ 4.7/5

Meta's open source LLM that democratized AI, powering countless applications

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Developer

Meta

Released

Feb 2023

Users

100M+

API

Available

📊 Rating Breakdown

Functionality 4.8/5

Llama 3.1/3.2, 400B+ params, coding, reasoning, multimodal

Ease of Use 4.2/5

Technical setup, but many UIs available

Performance 4.7/5

Excellent, close to GPT-4 in many tasks

Value for Money 5.0/5

100% free, open source, commercial-friendly

Ecosystem 5.0/5

Massive community, countless fine-tunes and integrations

Privacy & Security 5.0/5

Self-hosted, complete privacy, no data leaves your machine

Support 4.5/5

Great community docs, Discord, Reddit

Innovation 4.8/5

Democratized AI, open source LLM revolution

✅ Pros

  • Completely free and open source
  • Commercial-friendly license
  • Capabilities close to GPT-4
  • Massive ecosystem and community
  • Self-hostable for complete privacy

❌ Cons

  • Technical setup required
  • Needs good hardware for best performance
  • Less polished than closed alternatives
  • No official consumer app
  • Requires third-party tools

💰 Pricing

Self-hosted or third-party APIs

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🧠 Available Models

Llama 4 Behemoth

Open Source

Meta's most powerful model with ~2T parameters (MoE), 288B active. Top-tier reasoning, coding, math, and multilingual performance.

Parameters: ~2T total / 288B active (MoE)
Context: 2M tokens
📝 text 🖼️ image 🎬 video 🎤 audio
✅ Deep reasoning ✅ Multilingual ✅ Code generation ✅ Multimodal understanding
Input: Free / Open Source
Output: Free / Open Source
🔌 API Availablevia Meta AI, Groq, Together AI, Fireworks AI, Replicate

Llama 4 Maverick

Open Source

Meta's balanced MoE model. 17B active parameters from ~400B total, excellent cost-performance ratio for production workloads.

Parameters: ~400B total / 17B active (MoE)
Context: 1M tokens
📝 text 🖼️ image
✅ Cost-efficient ✅ Image understanding ✅ Great value ✅ Production-ready
Input: Free / Open Source
Output: Free / Open Source
🔌 API Availablevia Meta AI, Groq, Together AI, Fireworks AI, Replicate

Llama 3.3 70B

Open Source

Dense 70B model matching Llama 3.1 405B quality. Excellent general-purpose model for enterprise deployments.

Parameters: 70B (dense)
Context: 128K tokens
📝 text
✅ Efficient deployment ✅ Strong inference ✅ Cost-effective
Input: Free / Open Source
Output: Free / Open Source
🔌 API Availablevia Meta AI, Groq, Together AI, Fireworks AI, Replicate

Llama 3.2

Open Source

Multimodal vision models (11B/90B) and lightweight text models (1B/3B) for on-device use.

Parameters: 1B / 3B / 11B / 90B
Context: 128K tokens
📝 text 🖼️ image
✅ On-device ✅ Vision capabilities ✅ Lightweight
Input: Free / Open Source
Output: Free / Open Source
🔌 API Availablevia Meta AI, Groq, Together AI

🧠 Available Models

Llama 4 Behemoth

Open Source

Meta's most powerful model with ~2T parameters (MoE), 288B active. Top-tier reasoning, coding, math, and multilingual performance.

Parameters: ~2T total / 288B active (MoE)
Context: 2M tokens
📝 text 🖼️ image 🎬 video 🎤 audio
✅ Deep reasoning ✅ Multilingual ✅ Code generation ✅ Multimodal understanding
Input: Free / Open Source
Output: Free / Open Source
🔌 API Availablevia Meta AI, Groq, Together AI, Fireworks AI, Replicate

Llama 4 Maverick

Open Source

Meta's balanced MoE model. 17B active parameters from ~400B total, excellent cost-performance ratio for production workloads.

Parameters: ~400B total / 17B active (MoE)
Context: 1M tokens
📝 text 🖼️ image
✅ Cost-efficient ✅ Image understanding ✅ Great value ✅ Production-ready
Input: Free / Open Source
Output: Free / Open Source
🔌 API Availablevia Meta AI, Groq, Together AI, Fireworks AI, Replicate

Llama 3.3 70B

Open Source

Dense 70B model matching Llama 3.1 405B quality. Excellent general-purpose model for enterprise deployments.

Parameters: 70B (dense)
Context: 128K tokens
📝 text
✅ Efficient deployment ✅ Strong inference ✅ Cost-effective
Input: Free / Open Source
Output: Free / Open Source
🔌 API Availablevia Meta AI, Groq, Together AI, Fireworks AI, Replicate

Llama 3.2

Open Source

Multimodal vision models (11B/90B) and lightweight text models (1B/3B) for on-device use.

Parameters: 1B / 3B / 11B / 90B
Context: 128K tokens
📝 text 🖼️ image
✅ On-device ✅ Vision capabilities ✅ Lightweight
Input: Free / Open Source
Output: Free / Open Source
🔌 API Availablevia Meta AI, Groq, Together AI

📜 Version History

Sep 2024 Llama 3.2

Llama 3.2 Multimodal

Released Llama 3.2 with 1B, 3B small models and 11B, 90B multimodal vision models.

Oct 2025 Llama 4.5

Llama 4.5 Update

Enhanced Llama 4.5 with improved agentic capabilities, 1M context window, and enterprise safety features.

Mar 2026 Llama 5

Llama 5 Preview

Announced Llama 5 with revolutionary architecture and community-driven development platform.

Jul 2023 Llama 2

Llama 2 Open Release

Meta released Llama 2, making it free for both research and commercial use, with 7B, 13B, and 70B variants.

Feb 2023 LLaMA 1

LLaMA Launch by Meta

Meta released LLaMA (Large Language Model Meta AI) as a research-focused open-source LLM in 7B, 13B, 33B, and 65B sizes.

Dec 2024 Llama 3.3

Llama 3.3 70B

Released Llama 3.3 70B with improved efficiency and performance matching larger models.

Aug 2024 Llama 3.1

Llama 3.1 405B Launch

Released Llama 3.1 with 8B, 70B, and 405B models, with the 405B being the largest open-source LLM ever.

Apr 2025 Llama 4

Llama 4 Launch

Released Llama 4 with MoE architecture, native multimodality, and breakthrough performance on key benchmarks.

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