announcement

NEW Llama 4 Models Now Available on DatBot

Robert

Robert

NEW Llama 4 Models Now Available on DatBot

We’re thrilled to announce that Meta’s groundbreaking Llama 4 models are now available on DatBot!

Both Llama 4 Scout and Llama 4 Maverick join our growing lineup of AI powerhouses, with Scout our newest addition to our free tier.

We have some of the fastest Llamas around, thanks to Groq.

What Makes Llama 4 Special?

Llama 4 models are the newest release from the AI powerhouse, Meta (Facebook, WhatsApp, Instagram etc.)

  • True Multimodal Intelligence - These are the first open-weight models designed from the ground up to understand both text and images natively
  • Mixture-of-Experts Architecture - Uses an innovative approach where only a fraction of parameters activate for each token, dramatically improving efficiency, similar to DeepSeek’s approach that has brought them also into the running for best models globally.
  • Unprecedented Context Window - Llama 4 Scout offers an industry-leading 10 million token context window, depending on inference provider (who’s serving the model, and how much load they want their servers under).
  • Competitive Performance - Outperforms many larger models, up to and including GPT-4o and Gemini 2.0 Flash on key benchmarks
  • Open Source & Accessible - Available for download and customization from Llama directly at Meta and HuggingFace.

DatBot's Llama 4 Models Llama 4 models offer state-of-the-art capabilities while remaining surprisingly efficient

Meet the Llama 4 Family

We’ve integrated two powerful models from Meta’s latest release:

Llama 4 Scout

  • 17 billion active parameters with 16 experts (109B total parameters)
  • Fits on a single H100 GPU with Int4 quantization
  • Industry-leading 10M token context window
  • Outperforms Gemma 3, Gemini 2.0 Flash-Lite, and Mistral 3.1
  • Available on all DatBot plans including FREE

Llama 4 Maverick

  • 17 billion active parameters with 128 experts (400B total parameters)
  • Superior performance to GPT-4o on many benchmarks
  • Comparable results to DeepSeek v3 on reasoning and coding—with fewer parameters
  • Best-in-class performance to cost ratio (ELO score of 1417 on LMArena)
  • Available on Premium and Enterprise plans

Both models were trained using knowledge distilled from Llama 4 Behemoth, Meta’s 288B parameter teacher model that outperforms GPT-4.5, Claude Sonnet 3.7, and Gemini 2.0 Pro on several STEM benchmarks.

Why These Models Matter For You

The Llama 4 models unlock capabilities previously reserved for much larger, more expensive systems:

  • Understand Images Naturally - Analyze and respond to visual content as easily as text
  • Process Entire Documents - Scout’s 10M token context can handle books, codebases, or thousands of pages
  • Multilingual Excellence - Pre-trained on 200 languages with 10x more multilingual tokens than Llama 3
  • Balanced Viewpoints - Significantly reduced bias and refusal rates on social and political topics
  • Creative Partner - Exceptional at creative writing and complex reasoning tasks

How to Start Using Llama 4 Today

Getting started with Llama 4 on DatBot is simple:

  1. Select Your Model - Choose Llama 4 Scout or Maverick from the model dropdown
  2. Adjust Settings - Customize temperature and other parameters to your needs
  3. Upload Images (Optional) - Drag and drop images to enable multimodal capabilities
  4. Start Chatting - Experience the difference in reasoning, coding, and image understanding

Remember that Scout is available on all plans, while Maverick is exclusive to Premium and Enterprise tiers.

Practical Applications Beyond the Basics

Our early users have found some incredible applications for these models:

  • Document Analysis - Process and summarize entire research papers or legal documents
  • Visual Programming - Analyze screenshots and debug code with context-aware suggestions
  • Cross-lingual Communication - Translate with cultural nuance across 200 languages
  • Data Visualization - Generate insights from charts, graphs, and visual data
  • Complex Research - Connect ideas across multiple papers or sources with the massive context window

The Technology Behind the Magic

Llama 4 represents several major advances in AI architecture:

Mixture-of-Experts (MoE)

Unlike traditional models where all parameters process every token, MoE models activate only a fraction of their parameters for each token. This makes them dramatically more efficient while maintaining or improving quality.

For example, Llama 4 Maverick has 400B total parameters but only 17B active at any time. Each token is processed by a shared expert plus one of 128 specialized experts, making it both powerful and efficient.

Native Multimodality

Llama 4 models use “early fusion” to integrate text and vision. This means images aren’t just tagged onto a text model - the entire architecture understands both modalities together, similar to how humans process information.

Massive Context Window

Llama 4 Scout’s 10M token context window is achieved through architectural innovations including interleaved attention layers without positional embeddings and inference time temperature scaling of attention (dubbed “iRoPE” architecture).

Perfect Pairings: Combining DatBot Features

Some of our users have discovered powerful combinations using Llama 4 alongside our other features:

  • Analyze images with Llama 4 Scout, then generate variations with our image generation system
  • Create complex code with Maverick, then narrate explanations using our audio generation
  • Process large datasets with Scout’s massive context window, then visualize insights

Check out our Image Generation and Audio Generation posts to explore these complementary capabilities!

What’s Coming Next?

While we’re excited about Llama 4, this is just the beginning. Future plans include:

  • Fine-tuned vertical models for specific industries
  • Integration with Llama Guard for additional safety features
  • Support for video understanding
  • Specialized coding assistants built on Llama 4

Ready to Experience the Future?

Just select Llama 4 Scout or Maverick from your model dropdown in the DatBot interface. Enter your prompt, upload images if desired, and experience the most advanced open-source AI models available today.

Have feedback or questions? We’d love to hear from you at [email protected].

Want to learn more about Meta’s breakthrough Llama 4 models? Check out their official announcement for all the technical details.

Now go build something amazing with the power of Llama 4!

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