Post-Cutoff

MetaLlama 4 familyLegacyMultimodal modelReleased 5 Apr 2025

Llama 4 Maverick (17B-128E)

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

Model idmeta.llama4-maverick-17b-instruct-v1:0

PricePrice not published

Checked29 September 2026

Knows up to August 2024

2,056events after its cutoff

97 historic, 487 major. 804 days of news.

It launched on 5 April 2025, already missing 29 of them. Coverage before 2026 is thin (34 entries for 2024 and 80 for 2025), so this count is a floor.

Five things it has never heard of

Its cutoff, August 2024, is before this chart starts: every mark here is news it has never seen.

How to call it

4 ways to use Llama 4 Maverick (17B-128E), with the model id each provider expects.

Providers, model ids, endpoints and docs for Llama 4 Maverick (17B-128E)
ProviderModel idEndpointDocs
Hugging Face huggingface.co
AWS Bedrock meta.llama4-maverick-17b-instruct-v1:0 docs.aws.amazon.com
OpenRouter meta-llama/llama-4-maverick openrouter.ai
Web app meta.ai

Pricing

Price not published.

No price source linked. Checked 29 September 2026.

Specs

Input
Text and images
Output
Text
Context window
1,000,000 tokens
Max output
Not published
Open weights
Yes
Licence
Llama 4 Community License
Training cutoff
August 2024
Released
5 April 2025
Status
Legacy
Type
Multimodal model

What stands out

What its maker marketed at launch, and what people found later, each with its source.

  • First natively multimodal Llama (early fusion)

    Llama 4 were the first Llama models with native multimodality via early fusion of text and vision tokens.

    Source: ai.meta.com

  • 400B-total MoE on one H100 host

    17B active / 128 experts / ~400B total; runs on a single H100 host.

    Source: ai.meta.com

  • LMArena experimental-variant controversy

    Launch LMArena Elo 1417 came from an experimental chat-tuned variant, not the released weights, drawing criticism.

    Source: en.wikipedia.org

Four assistants, one scale

Llama 4 Maverick (17B-128E) is added as a fifth row. Each row runs from what the model knows (graphite) through the months between its cutoff and its launch (hatched) to today (pink).

  1. GPT-6 Astra 271 at launch, 1,863 today
  2. Claude Opus 5.5 372 at launch, 1,795 today
  3. Gemini 4 Hydrogen 1,863 at launch, 1,889 today
  4. Grok 4.7 387 at launch, 1,829 today
  5. Llama 4 Maverick (17B-128E) 29 at launch, 2,056 today
Show as a table
ModelCutoffReleasedMissing at launchMissing today
GPT-6 AstraApril 20263 September 20262711,863
Claude Opus 5.5June 202622 September 20263721,795
Gemini 4 HydrogenMarch 202612 November 20261,8631,889
Grok 4.7May 202621 September 20263871,829
Llama 4 Maverick (17B-128E)August 20245 April 2025292,056

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.

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