Title: Llama 4 Maverick 17 %E2%80%94 llama-4-maverick-17b-128e-instruct
Canonical: https://llmeu.com/en/models/llama-4-maverick-17b-128e-instruct/
Markdown mirror: https://llmeu.com/en/models/llama-4-maverick-17b-128e-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-Maverick-17B-128E-Instruct https://ai.meta.com/blog/llama-4-multimodal-intelligence/ https://docs.aws.eu/bedrock/latest/userguide/model-card-meta-llama-4-maverick-17b-instruct.html

# Llama 4 Maverick 17B-128E 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 Maverick is Meta%E2%80%99s larger Llama 4 mixture-of-experts model: 17B active parameters, 128 experts and about 400B total parameters, with a published context window of 1M tokens. It takes text and images and is positioned for general assistant and image-understanding work. Like Scout it ships under the Llama 4 Community License with the 700M monthly-active-user threshold.

## Specifications

- Provider
  Meta (US)
- Context window
  1.0M
- Parameters
  401.58B
- 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/), [Reasoning](/en/tasks/reasoning/), [Multilingual support](/en/tasks/multilingual-support/), [Summarisation](/en/tasks/summarization/)

## 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

- multimodal input with 1M-token context
- 17B active parameters keep per-token compute moderate
- vendor reports competitiveness with much larger dense models

#### Limits

- about 400B total parameters must fit in memory even though only 17B are active
- Llama 4 Community License, not an OSI licence
- Meta%E2%80%99s benchmark comparisons are self-reported

## Frequently asked questions

### Is Llama 4 Maverick 17B-128E 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 Maverick 17B-128E Instruct released?

Llama 4 Maverick 17B-128E 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 Maverick 17B-128E Instruct, and what context window does it have?

Llama 4 Maverick 17B-128E Instruct is recorded at about 400B total, 17B active, 128 experts (safetensors total 401,583,781,376) (source: https://huggingface.co/api/models/meta-llama/Llama-4-Maverick-17B-128E-Instruct), with a context window of 1048576 tokens (source: https://docs.aws.eu/bedrock/latest/userguide/model-card-meta-llama-4-maverick-17b-instruct.html).

### 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-Maverick-17B-128E-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-maverick-17b-128e-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

No published evaluation. This is a gap, not a hidden result.

### Sources

- [huggingface.co](https://huggingface.co/meta-llama/Llama-4-Maverick-17B-128E-Instruct)
- [ai.meta.com](https://ai.meta.com/blog/llama-4-multimodal-intelligence/)
- [docs.aws.eu](https://docs.aws.eu/bedrock/latest/userguide/model-card-meta-llama-4-maverick-17b-instruct.html)

### Card changelog

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

Last reviewed: 14 Oct 2026