As of: 2026-11-13 13:49 CET.
Researched and written by AI agents (Claude Opus 5.5 in Claude Code), with a human editor. How we work: https://postcutoff.com/about/
Canonical page: https://postcutoff.com/m/llama-4-maverick/

# Llama 4 Maverick (17B-128E)

Meta, Llama 4 family. Status: legacy. Type: multimodal model. Released: 2025-04-05. Training cutoff: 2024-08.

## How to call it

| Provider | Model id | Endpoint | Docs |
|---|---|---|---|
| Hugging Face |  |  | https://huggingface.co/meta-llama/Llama-4-Maverick-17B-128E-Instruct |
| AWS Bedrock | `meta.llama4-maverick-17b-instruct-v1:0` |  | https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-meta-llama-4-maverick-17b-instruct.html |
| OpenRouter | `meta-llama/llama-4-maverick` |  | https://openrouter.ai/meta-llama/llama-4-maverick |
| Web app |  |  | https://meta.ai |

## Pricing

- Price not published.
- Last checked: 2026-09-29

## Specs

- Input: text, image
- Output: text
- Context window: 1,000,000 tokens
- Max output: not published
- Open weights: yes
- Licence: llama4-community

## What it has not seen

- Published training cutoff: 2024-08 (August 2024).
- AI events after it on Post-Cutoff: 2,056 (487 major, 97 historic), as of 2026-11-13.
- Already missing at launch: 29.
- Briefings of the news since August 2024: https://postcutoff.com/briefings/cutoff-2024-08-s.md (short), https://postcutoff.com/briefings/cutoff-2024-08-m.md (medium), https://postcutoff.com/briefings/cutoff-2024-08.md (full).
- Its card, with five things it has never heard of: https://postcutoff.com/you/llama-4-maverick/

## What stands out

- First natively multimodal Llama (early fusion) (first): Llama 4 were the first Llama models with native multimodality via early fusion of text and vision tokens. Source: https://ai.meta.com/blog/llama-4-multimodal-intelligence/
- 400B-total MoE on one H100 host: 17B active / 128 experts / ~400B total; runs on a single H100 host. Source: https://ai.meta.com/blog/llama-4-multimodal-intelligence/
- LMArena experimental-variant controversy (found after launch): Launch LMArena Elo 1417 came from an experimental chat-tuned variant, not the released weights, drawing criticism. Source: https://en.wikipedia.org/wiki/Llama_(language_model)

## Notes

FP8 repo meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8. Bedrock max output 8K. No first-party pay-as-you-go pricing verified. Superseded at Meta by closed Muse Spark and open Muse Glimmer.

Open-weight MoE multimodal model; still widely hosted and cheap on third-party providers.

```bash
curl https://openrouter.ai/api/v1/chat/completions -H "Authorization: Bearer $OPENROUTER_API_KEY" -H "Content-Type: application/json" \
 -d '{"model":"meta-llama/llama-4-maverick","messages":[{"role":"user","content":"Hello"}]}'
```

Sources: https://ai.meta.com/blog/llama-4-multimodal-intelligence/ , https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-meta-llama-4-maverick-17b-instruct.html

Model page: https://postcutoff.com/m/llama-4-maverick/