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Meta: Llama 4 Maverick: AI model

Llama 4 Maverick is Meta's multimodal Mixture-of-Experts model with 17B active parameters and a 1M-token context window. Reachable from inside Iran through Hormouz.

Context window:
1,048,576 tokens
Input:
$0.19/1M tokens
Output:
$0.65/1M tokens
Type:
text, image
  • Vision
  • Tools
  • Streaming
  • Long context

Llama 4 Maverick 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 pass (400B total). It accepts text and image input and produces text and code output across 12 languages.

Maverick uses early fusion for native multimodality and a 1M-token context window, and is tuned for vision-language tasks, image reasoning and general multimodal interaction. It is served through Hormouz behind an OpenAI-compatible API.

Pricing is usage-based; the highest rate across providers is $0.35 per million input tokens and $1.15 per million output tokens. Hormouz provides stable access to the model from inside Iran.

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...

Quickstart

curl https://api.hormouz.net/v1/chat/completions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "meta-llama/llama-4-maverick",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Specs

VendorMeta
TypeText, Image
Context window1,048,576 tokens
Pricing$0.19/M in · $0.65/M out
APIChat Completions
CapabilitiesStreaming · Vision · Tools

Benchmarks

16.3
Coding Index
Better than 15% of models we compared
0.6
Agentic Index
Better than 2% of models we compared

Reasoning

GPQA Diamond
Graduate-level scientific reasoning
67.1%
HLE
Humanity's Last Exam
4.9%
IFBench
Instruction-following
43%
AA-LCR
Long-context reasoning
50%
CritPt
Research-level physics reasoning
0%
AA Omniscience
Broad factual knowledge accuracy
24.9%
Non-Hallucination
Rate of avoiding fabricated answers
11.1%

Coding

SciCode
Python for scientific computing
31.7%
Terminal-Bench Hard
Agentic coding & terminal use
6.8%

Agentic

τ²-Bench
Tool-use agents in dual-control scenarios
17.8%
GDPval
Economically valuable tasks
0%

Source: Artificial Analysis

3D
Top 96%
911Elo
Win rate: 40.2%Avg time: 9.5s
Code
Top 97%
885Elo
Win rate: 35.8%Avg time: 13.1s
Data Viz
Top 98%
889Elo
Win rate: 38.4%Avg time: 11.0s
Game Dev
Top 98%
850Elo
Win rate: 33.7%Avg time: 14.3s
UI Component
Top 97%
906Elo
Win rate: 40.8%Avg time: 12.7s
Website
Top 96%
877Elo
Win rate: 34.4%Avg time: 13.6s

Metrics sourced from Design Arena

Code example

cURL
curl https://api.hormouz.net/v1/chat/completions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "meta-llama/llama-4-maverick",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'
Python
from openai import OpenAI
client = OpenAI(api_key="ng-YOUR_API_KEY", base_url="https://api.hormouz.net/v1")
response = client.chat.completions.create(
    model="meta-llama/llama-4-maverick",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)
JavaScript
import OpenAI from "openai";
const client = new OpenAI({ apiKey: "ng-YOUR_API_KEY", baseURL: "https://api.hormouz.net/v1" });
const response = await client.chat.completions.create({
  model: "meta-llama/llama-4-maverick",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

Buy the Meta: Llama 4 Maverick API, paid in rial

  • Buy credit with an Iranian bank card; no foreign card or account needed.
  • One Hormouz key reaches Meta: Llama 4 Maverick and 600+ other models, and you pay only for what you use.
  • No VPN and no risk of a banned account; just change the base URL to api.hormouz.net/v1.
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FAQ

Does Llama 4 Maverick understand images?
Yes. Maverick is a multimodal model with early fusion and can process text and image input together, which fits image reasoning and vision-language tasks.
What context window does Llama 4 Maverick have?
The model supports a 1M-token context window, which makes it a good fit for very long documents and wide context.
How much does Llama 4 Maverick cost?
Billing is usage-based; the highest rate across providers is $0.35 per million input tokens and $1.15 per million output tokens.
How do I reach Llama 4 Maverick from inside Iran?
Create an account on Hormouz and generate an API key. Hormouz provides a stable path to the model from inside Iran, with no foreign credit card or circumvention tooling required.
Is Llama 4 Maverick compatible with OpenAI-style code?
Yes. Hormouz exposes an OpenAI-compatible API. Point your base URL at Hormouz and swap in your Hormouz key. Your existing SDKs and code run without a rewrite.

Updated 2026-10-13