Title: Llama 4 Scout 17B-16E I %E2%80%94 llama-4-scout-17b-16e-instruct
Canonical: https://llmeu.com/en/models/llama-4-scout-17b-16e-instruct/
Markdown mirror: https://llmeu.com/en/models/llama-4-scout-17b-16e-instruct.md
Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json
Provider: Meta
Licence: other
Hosting: catalogue only %E2%80%94 not hosted on LLM EU yet
Sources: https://huggingface.co/meta-llama/Llama-4-Scout-17B-16E-Instruct https://ai.meta.com/blog/llama-4-multimodal-intelligence/

# Llama 4 Scout 17B-16E Instruct

[Meta](/en/providers/meta/)

Last reviewed: 14 Oct 2026

## Sovereignty and hosting

This model is catalogued for reference. It is not hosted on LLM EU yet, and no first-party endpoint serves it here. Requests to it go to the provider directly, under that provider's own terms.

## Summary

Llama 4 Scout is a natively multimodal mixture-of-experts model with 17B active parameters, 16 experts and 109B total parameters. Meta advertises a 10 million token context window for it, the largest of any Llama release, and states it fits on a single H100 with Int4 quantisation. It is released under the Llama 4 Community License, which keeps the 700M monthly-active-user threshold.

## Specifications

- Provider
  Meta (US)
- Context window
  10.5M
- Parameters
  108.64B
- Modalities
  text, vision
- License
  other %C2%B7 [licence](https://www.llama.com/llama4/license/)
- Open weights
  yes
- Release date
  05 Apr 2025
- Tasks
  [Vision](/en/tasks/vision/), [Summarisation](/en/tasks/summarization/), [Retrieval (RAG)](/en/tasks/rag/), [Multilingual support](/en/tasks/multilingual-support/)

## Languages

**Strong:** en, de, fr, es, it, pt, hi

**Adequate:** ar, id, th, tl, vi

#### Strong

- en
- de
- fr
- es
- it
- pt
- hi

#### Adequate

- ar
- id
- th
- tl
- vi

Not verified: the provider has not documented this claim. %E2%80%94 a language is listed as strong only where a source claims it; the card links the evidence where one exists.

## When to use it

#### Strengths

- 10M-token context window, the longest published in the Llama line
- multimodal input with image grounding
- fits a single H100 at Int4 quantisation

#### Limits

- Llama 4 Community License, not an OSI licence
- 109B total parameters make full-precision serving expensive
- long-context quality at the 10M limit is not independently verified

## Frequently asked questions

### Is Llama 4 Scout 17B-16E Instruct served on LLM EU?

It has no endpoint in the catalogue, so it is catalogue only %E2%80%94 not hosted on LLM EU yet, with no region and no retention to report. A card whose status is "listed" is a catalogue entry, not a running deployment.

### Under what licence is Llama 4 Scout 17B-16E Instruct released?

Llama 4 Scout 17B-16E Instruct is recorded under other. The recorded licence text is https://www.llama.com/llama4/license/. The weights are downloadable (open_weights is true). LLM EU republishes the licence id and the link and gives no legal advice; the licence text governs.

### How large is Llama 4 Scout 17B-16E Instruct, and what context window does it have?

Llama 4 Scout 17B-16E Instruct is recorded at 109B total, 17B active, 16 experts (safetensors total 108,641,793,536) (source: https://huggingface.co/api/models/meta-llama/Llama-4-Scout-17B-16E-Instruct), with a context window of 10485760 tokens (source: https://ai.meta.com/blog/llama-4-multimodal-intelligence/).

### Pricing

This model is catalogued for reference. It is not hosted on LLM EU yet, and no first-party endpoint serves it here. Requests to it go to the provider directly, under that provider's own terms.

### Verification status

Where a field has no source, the card shows it as unverified instead of filling it in. An empty field is information.

LLM EU Verified means documented, not legally certified. It is not an AI Act conformity assessment and LLM EU is not an EU body.

### Versions and variants

- catalogue %C2%B7 Catalogue only %C2%B7 [weights](https://huggingface.co/meta-llama/Llama-4-Scout-17B-16E-Instruct)

### Example request

```
curl https://api.llmeu.com/v1/chat/completions \
  -H "Authorization: Bearer $LLMEU_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"llama-4-scout-17b-16e-instruct","messages":[{"role":"user","content":"Hello"}]}'
```

No playground is deployed for this model: no endpoint serves it, so a request would have nowhere to go.

### Benchmarks

- Published maximum context window (tokens): **10485760 (vendor-published)** [source](https://ai.meta.com/blog/llama-4-multimodal-intelligence/)

### Sources

- [huggingface.co](https://huggingface.co/meta-llama/Llama-4-Scout-17B-16E-Instruct)
- [ai.meta.com](https://ai.meta.com/blog/llama-4-multimodal-intelligence/)

### Card changelog

- 05 Apr 2025 %E2%80%94 Release date
- 14 Oct 2026 %E2%80%94 Last reviewed

Last reviewed: 14 Oct 2026

### Tasks

- [Vision](/en/tasks/vision/)
- [Summarisation](/en/tasks/summarization/)