Skip to main content
idapt
HomeCodeAI ModelsPricing
Sign inStart free
Meta

Llama 4 Scout

$AffordableRun locally
Meta
CompareChat

Meta's efficient multimodal MoE model with 16 experts. 17B active parameters with native multimodal input and 10M-token context window. Fast inference with strong text and vision capabilities.

▼

Llama 4 Scout is somewhat expensive at $0.10/M tokens input and $0.30/M tokens output. The model supports vision/image input, a 328K context window.

Best forVision tasksCost-effective

Benchmarks

CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter

Specifications

Vision
Audio
Reasoning
MoE
Architecture
109B
Parameters
17B
Active
328K
Context
16K
Max output
63 GB
Local download
84 GB
Local RAM

Performance

Providers

Run locally

Run Llama 4 Scout on your own computer with the Private AI Engine for free, with no rate limits and no third-party AI provider involved. idapt installs it and routes chat to your hardware automatically.

Download
63 GB
Recommended RAM
84 GB

ollama pull llama4:16x17b

Misc

April 5, 2025
Released
CompareChat with Llama 4 Scout

Compare with

OpenAIGPT 6 Astravs Llama 4 ScoutOpenAIGPT 5.6 Lunavs Llama 4 ScoutAnthropicClaude Fable 5.1vs Llama 4 ScoutAnthropicClaude Opus 5vs Llama 4 ScoutAnthropicClaude Sonnet 5vs Llama 4 ScoutAnthropicClaude Haiku 4.5vs Llama 4 ScoutGoogleGemini 3.8 Flashvs Llama 4 ScoutGoogleGemini 3.5 Flashvs Llama 4 ScoutGoogleGemini 3.5 Flash-Litevs Llama 4 ScoutGoogleGemma 4 31Bvs Llama 4 ScoutxAIGrok 4.6vs Llama 4 ScoutxAIGrok Build 0.1vs Llama 4 ScoutxAIGrok 4.1 Fastvs Llama 4 ScoutMetaMuse Spark 1.3vs Llama 4 ScoutDeepSeekDeepSeek V4 Pro (0813)vs Llama 4 ScoutDeepSeekDeepSeek V4 Flashvs Llama 4 ScoutMiniMaxMiniMax M3vs Llama 4 ScoutMoonshotAIKimi K3vs Llama 4 ScoutMoonshotAIKimi K2.7 Codevs Llama 4 ScoutZhipu AIGLM 5.3vs Llama 4 ScoutZhipu AIGLM 5.3 Flashvs Llama 4 ScoutQwenQwen3.8 Max (0902)vs Llama 4 ScoutQwenQwen3.7 Plusvs Llama 4 ScoutQwenQwen3 Coder Nextvs Llama 4 ScoutNVIDIANemotron 3 Ultravs Llama 4 Scout
Frequently Asked Questions about Llama 4 Scout▼

When was Llama 4 Scout released?

▼

Llama 4 Scout was released on April 5, 2025.

Who created Llama 4 Scout?

▼

Llama 4 Scout was created by Meta.

How much does Llama 4 Scout cost?

▼

Llama 4 Scout costs $0.10/M input tokens and $0.30/M output tokens.

What is Llama 4 Scout API pricing?

▼

The Llama 4 Scout API is priced at $0.10 per million input tokens and $0.30 per million output tokens. You can access Llama 4 Scout through idapt.app alongside 200+ other AI models in one workspace.

Is Llama 4 Scout a reasoning model?

▼

No, Llama 4 Scout is not a reasoning model. It responds directly without an extended internal thinking step. For tasks requiring deep chain-of-thought reasoning, consider models like Claude, o-series from OpenAI, or Gemini Thinking.

Does Llama 4 Scout support image or vision input?

▼

Yes, Llama 4 Scout supports vision/image input. You can share images in your conversation and the model will analyze and respond based on their content.

Does Llama 4 Scout support audio?

▼

No, Llama 4 Scout does not support audio input.

What is the context window of Llama 4 Scout?

▼

Llama 4 Scout has a context window of 328K tokens, meaning it can process approximately 245,760 words of context at once.

Is Llama 4 Scout open source?

▼

Llama 4 Scout is a proprietary model developed by Meta. The model weights and training data are not publicly available.

What is Llama 4 Scout good at?

▼

Based on benchmark data, Llama 4 Scout excels at: visual analysis and image understanding. It is Meta's capable model suitable for a wide range of tasks.

Where can I use Llama 4 Scout?

▼

You can chat with Llama 4 Scout on idapt.app — no separate API key required. idapt is an AI workspace with 200+ models, agents, computers, and tasks. You can also access Llama 4 Scout through Meta's own API or platform.

  • Home
  • Pricing
  • AI Models
  • Image models
  • Voice models
  • Video models
  • Rankings
  • New models
  • Model status
  • Multi-Model Chat
  • Agents
  • Computers
  • Drive
  • Automations
  • AI Gateway
  • All features →
  • LLM cost calculator
  • Token counter
  • All free tools →
  • Blog
  • Use cases
  • Comparisons
  • Best of
  • Benchmarks
  • Demos
  • Changelog
  • Help center
  • FAQ
  • Privacy
  • Compare all models
  • Support
  • idapt Code
  • Developers
  • Quickstarts
  • API reference
  • API pricing
  • CLI
  • MCP
  • Downloads
  • Desktop
  • Badges and embeds
© idapt[email protected]TermsPrivacy PolicyLegal noticeReport content
X (Twitter)