Meta: Llama 4 Scout
Analysis Summary
Meta: Llama 4 Scout sits in the Professional tier on our leaderboard, ranked #10 of 565 published models on overall intelligence. At $0.080 input and $0.300 output per 1M tokens, it is among the most expensive on the market. It offers an exceptionally large context window suited to long-document workflows and supports tool use, function calling, and vision.
Editorial notes
Meta Llama 4 Scout delivers a 10M token context window with vision, tool use, and function calling at very low cost, though its intelligence and coding scores are modest relative to its context ambition.
Assessed May 31, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Meta: Llama 4 Scout compares
Meta: Llama 4 Scout ranks #249 of 370 AI models we track for overall intelligence, #257 of 307 for coding, #258 of 282 for agentic tasks. Its 10M-token context window is larger than 100% of the models we list. At $0.08 per million input tokens it is cheaper than 69% of comparable models.
About Meta: Llama 4 Scout
Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Meta: Llama 4 Scout stack up?
Compare side-by-side with other professional models.
Model Information
| OpenRouter ID |
meta-llama/llama-4-scout
|
| Provider | meta-llama |
| Model Family | Llama 4 |
| Release Date | April 5, 2025 |
| Context Length | 10,000,000 tokens |
| Max Completion | 16,384 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.08 | $0.000080 |
| Output | $0.30 | $0.000300 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
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Frequently asked questions about Meta: Llama 4 Scout
How much does Meta: Llama 4 Scout cost?
Meta: Llama 4 Scout costs $0.08 per million input tokens and $0.30 per million output tokens.
What is the context window of Meta: Llama 4 Scout?
Meta: Llama 4 Scout has a context window of 10,000,000 tokens (10M).
Is Meta: Llama 4 Scout good for coding?
On our coding benchmark index, Meta: Llama 4 Scout ranks #257 of 307 models, placing it in the broader range of the field for code generation and debugging.
What can Meta: Llama 4 Scout do?
Meta: Llama 4 Scout supports image/vision input, tool use, and function calling.
Who created Meta: Llama 4 Scout?
Meta: Llama 4 Scout is developed by Meta and was released on April 5, 2025.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: May 31, 2026 10:03 pm