Meta's open-source multimodal powerhouse — free to run, fine-tune, and deploy without restrictions
Free to self-host; API providers from $0.10-$0.50/1M tokens
What Is Llama 4 Scout?
Llama 4 Scout is a large language model (LLM) developed by Meta. Llama 4 is Meta's latest open-source LLM family, featuring Mixture-of-Experts architecture for exceptional efficiency. Llama 4 Scout (109B active from 16 experts) offers a 10 million token context window — the largest of any model. Llama 4 Maverick (400B) competes with GPT-4o and Gemini on quality. Both are fully open-source and multimodal (text + image input). For creators, Llama 4 powers dozens of free apps and can be self-hosted for private, unlimited usage.
Overview
| Description | Llama 4 is Meta's latest open-source LLM family, featuring Mixture-of-Experts architecture for exceptional efficiency. Llama 4 Scout (109B active from 16 experts) offers a 10 million token context window — the largest of any model. Llama 4 Maverick (400B) competes with GPT-4o and Gemini on quality. Both are fully open-source and multimodal (text + image input). For creators, Llama 4 powers dozens of free apps and can be self-hosted for private, unlimited usage. |
| Developer | Meta |
| Version | Llama 4 Scout (109B) / Llama 4 Maverick (400B) |
| Category | Content / LLM |
| Status | Open Source |
| Pricing | Free to self-host; API providers from $0.10-$0.50/1M tokens |
Capabilities7
| 1 | 10 million token context window (Scout) |
| 2 | Multimodal: text and image understanding |
| 3 | Mixture-of-Experts for efficient inference |
| 4 | Fully open-source (download weights, fine-tune) |
| 5 | Competitive with GPT-4o on benchmarks |
| 6 | Multilingual (200+ languages) |
| 7 | Can be self-hosted on commodity hardware |
Output Specs
| Context Window | 10 million tokens (Scout); 1 million tokens (Maverick) |
Prompting Tips
Prompt
Here's my entire 50-page content strategy document [paste]. Based on this strategy, generate: 1) 30 tweet ideas aligned with our brand voice, 2) 10 LinkedIn post outlines, 3) 5 newsletter topic pitches with subject lines. Stay consistent with the tone.
Expected Result
Strategy-aligned content calendar from a massive context input
Prompt
[Upload competitor's Instagram grid screenshots] Analyze these 12 Instagram posts from my competitor. Identify: 1) Their visual style pattern, 2) Caption structure/hooks, 3) Hashtag strategy, 4) Post frequency. How can I differentiate?
Expected Result
Competitive visual analysis with actionable differentiation tips
Prompt
I've fine-tuned Llama 4 on my last 200 blog posts. Now: 'Write a LinkedIn post about AI productivity tools for solopreneurs in my established brand voice. Include a hot take that sparks debate.'
Expected Result
Perfect brand-voice content from a fine-tuned model
Best Fit
Best For
- ✓Open-source privacy-focused creators
- ✓Massive context document analysis
- ✓Self-hosted content pipelines
- ✓Fine-tuned brand voice models
- ✓Budget-unlimited AI usage
Watch Out For
- ✗Users wanting a polished web UI — ChatGPT/Claude are easier
- ✗Real-time web search — this requires separate tools
Access Via
Frequently Asked Questions
What is Llama 4 Scout?
Llama 4 Scout is a content AI model developed by Meta. Meta's open-source multimodal powerhouse — free to run, fine-tune, and deploy without restrictions. Llama 4 is Meta's latest open-source LLM family, featuring Mixture-of-Experts architecture for exceptional efficiency. Llama 4 Scout (109B active from 16 experts) offers a 10 million token context window — the largest of any model. Llama 4 Maverick (400B) competes with GPT-4o and Gemini on quality. ...
How much does Llama 4 Scout cost?
Free to self-host; API providers from $0.10-$0.50/1M tokens. See the developer website for current pricing.
What can Llama 4 Scout create?
Llama 4 Scout is best for: Open-source privacy-focused creators, Massive context document analysis, Self-hosted content pipelines, Fine-tuned brand voice models, Budget-unlimited AI usage. Key capabilities include 10 million token context window (Scout), Multimodal: text and image understanding, Mixture-of-Experts for efficient inference, Fully open-source (download weights, fine-tune).
How do you access Llama 4 Scout?
Llama 4 Scout is available through: Meta AI (native), Hugging Face (marketplace), Groq (fast inference) (api), Together AI (api).
Is Llama 4 Scout free to use?
Llama 4 Scout does not currently offer a free tier. Free to self-host; API providers from $0.10-$0.50/1M tokens.