Llama 4 Maverick

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...

by Meta

Overview

Quick stats across all benchmark runs.

Score

34%

65 benchmarks

Avg Latency

4.7s

417 requests

Pricing

$0.15 in / $0.60 out

per 1M tokens

Context

1049K

tokens

Alternatives

Models with similar or better quality but different tradeoffs

Same Quality, Cheaper

Models with similar or better performance at a lower cost per token.

Model	Cost
Llama 4 Scout	-59%
Ministral 3 8B 2512	-54%
gpt-oss-20b	-36%
Llama 3.3 70B Instruct	-30%
Gemini 2.5 Flash Lite	-8%

Same Quality, Faster

Models with similar or better performance but lower latency.

Model	Latency
Gemini 2.5 Flash Lite	-34%
Claude 3 Haiku	-33%
Ministral 3 8B 2512	-28%
Gemini 3 Flash Preview	-20%
Gemini 2.5 Flash	-5%

Same Cost, Better

Models at a similar price point with higher benchmark scores.

Model	Score
DeepSeek V3.2	+5%

Benchmark Performance

How this model performs across different benchmarks

Benchmark	Score	Rank
Venture Capital Terms Benchmark	99%	13 / 22
Character Frequency Bench	91%	8 / 27
Spatial Reasoning: Germany	91%	14 / 27
Product Recommendation Bench	76%	4 / 30
Explain Like I'm 5	63%	32 / 47
Categorization Bench	51%	21 / 52
Karlsruhe Local Knowledge Benchmark	42%	22 / 27
Niederstetten Benchmark	28%	27 / 33
German Memelord Bench	27%	16 / 27
Money Boy Cultural Literacy Test	25%	81 / 99

Price vs Performance

Compare cost efficiency across all models

Current model (baseline)

Other models (relative score)

Y-axis shows score difference from shared benchmarks. X-axis uses log scale.

Score Over Time

Performance trends across all benchmark runs

Benchmark Activity

Number of benchmark runs over time

Quickstart

View on OpenRouter

Get started with this model using OpenRouter

import { OpenRouter } from "@openrouter/sdk";

const openrouter = new OpenRouter({
  apiKey: "<OPENROUTER_API_KEY>"
});

const completion = await openrouter.chat.completions.create({
  model: "meta-llama/llama-4-maverick",
  messages: [
    {
      role: "user",
      content: "Hello!"
    }
  ]
});

console.log(completion.choices[0].message.content);

Get your API key at openrouter.ai/keys

Other Models from Meta

Compare performance with other models from the same creator

Model	Latency	Cost/1M	Score
Llama 4 Scout	6.6s	$0.19	45%
Llama 3.3 70B Instruct	20.5s	$0.21	42%
Llama 3.2 1B Instruct	30.7s	$0.11	23%
Llama 3.2 3B Instruct	30.9s	$0.19	11%
Llama Guard 3 8B	6.6s	$0.26	—
Llama 3.1 70B Instruct	14.5s	$0.40	—
Llama 3.2 90B Vision Instruct	—	$0.38	—
Llama Guard 4 12B	513ms	$0.18	—
Llama 3 70B Instruct	20.1s	$0.63	—
Llama 3 8B Instruct	8.8s	$0.04	—
Llama 3.1 8B Instruct	23.0s	$0.02	—
Llama 3.2 11B Vision Instruct	44.8s	$0.24	—
Llama 3.1 405B Instruct	—	Free	—
Llama 3.1 405B (base)	39.5s	$4.00	—
LlamaGuard 2 8B	1.6s	$0.20	—