Meta: Llama 4 Maverick
Meta-llama · meta-llama/llama-4-maverick
Runs in the cloud, on our API — not on your own machine.
open weights tools
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...
What it costs
Final AI-token prices, per million tokens. Bring your own provider key in the app to pay provider rates directly.
What it can do
Benchmarks
| Benchmark | What it measures | Score |
|---|---|---|
| Epoch Capabilities Index | one score summarising the benchmarks below — an index, not a percentage | 132.2 |
Scores by Epoch AI, CC BY 4.0. The ± is the margin of error: models inside each other's margins are tied, not ranked. Epoch's notes on this row: source “epoch”, accessibility “Open weights (restricted use)”.
Dates
Using it
In the 00 app — pick it per agent, and per tier, then build your own agents on it. Get 00.
As a drop-in API — the same model at an OpenAI-compatible endpoint. Two settings:
- Create a workspace API key in the Overblast console — usage bills that workspace's AI tokens, at the prices on this page.
- Point your base URL at
https://brain.deployd.network/ai/v1. Chat completions with streaming, embeddings,/images,/audio/transcriptionsand/videos.
curl https://brain.deployd.network/ai/v1/chat/completions \
-H "Authorization: Bearer ob_live_YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "meta-llama/llama-4-maverick",
"messages": [{ "role": "user", "content": "Hello" }]
}'
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