Llama-4-Maverick-17B-128E-Instruct
Access to model meta-llama/Llama-4-Maverick-17B-128E-Instruct is restricted.
text + image → text · made by Meta Llama
Sold by 5 ways
| Seller | Lane | Rate |
|---|---|---|
| Google Vertex AI cloud | standard | $0.35per Mtok in$1.15per Mtok outmodels.dev · read 2026-09-16 |
| IO.NET aggregator | standard | $0.15per Mtok in$0.6per Mtok out$0.075per Mtok cached$0.3per Mtok cache writemodels.dev · read 2026-09-16 |
| ElectronHub aggregator | standard | $0.2per Mtok in$0.8per Mtok outapi.electronhub.ai · read 2026-09-16 |
| Groq aggregator | standard | $0.2per Mtok in$0.6per Mtok outraw.githubusercontent.com · read 2026-09-16 |
| SambaNova Cloud aggregator | standard | $0.63per Mtok in$1.8per Mtok outraw.githubusercontent.com · read 2026-09-16 |
Measured 14 standings
| Place | Board | Metric | Score |
|---|---|---|---|
| 8thof 8 | Spatialviz bench — Epoch AI | Overall score | 0.318 |
| 35thof 42 | Fictionlivebench — Epoch AI | 120k token score | 0.364 |
| 42ndof 51 | Humanity's Last Exam (Epoch AI replication) | Accuracy | 5.68 |
| 45thof 46 | Enigma eval — Epoch AI | Accuracy | 0.58 |
| 46thof 49 | Lech mazur writing — Epoch AI | Mean score | 6.2 |
| 64thof 72 | Aider polyglot — Epoch AI | Percent correct | 15.6 |
| 83rdof 102 | Simplebench — Epoch AI | Score (AVG@5) | 0.277 |
| 99thof 123 | Lmca — Epoch AI | Score | 15.87 |
| 109thof 161 | Dtbench — Epoch AI | Accuracy | 61.87 |
| 135thof 177 | Critpt — Epoch AI | Accuracy | 0 |
| 147thof 168 | Scicode — Epoch AI | Score | 33.102 |
| 152ndof 170 | Weirdml — Epoch AI | Accuracy | 24.47 |
| 214thof 227 | Arc agi 2 — Epoch AI | Score | 0 |
| 239thof 244 | Arc agi — Epoch AI | Score | 4.38 |
About
Llama-4-Maverick-17B-128E-Instruct — a text model from Meta Llama, sold by 5 companies from $0.15 in and $0.6 out per million tokens, placed 109th of 161 on Dtbench — Epoch AI.
It takes text and images and returns text, with a context window of 524,288 tokens. It was published in April 2025. Its sellers say it can call a tool. The catalogue files it under reasoning. Its weights are published under the other licence, which attaches conditions the plain open licences do not. Five companies sell it. The cheapest is $0.15 in and $0.6 out per million tokens at IO.NET. It has been measured on 14 boards, and stands best at 109th of 161 on Dtbench — Epoch AI.
Every current figure
- Maker
- Meta Llama
- Register
- model
- Takes
- text + image
- Returns
- text
- Context
- 524,288 tokens
- Longest answer
- 8,192 tokens
- Published
- April 2025
- Parameters
- 402 billion · read from its own weights
- Licence
- other
- Sellers
- 5
- Maker's own price
- not read
- Price
- $0.15 in and $0.6 out per million tokens — IO.NET
- Boards
- 14
- Best place
- 109th of 161 — Dtbench — Epoch AI
Known as 1 name
meta-llama/Llama-4-Maverick-17B-128E-Instruct