Meta

Llama 4 Maverick — Benchmark Scores, Pricing & Performance Analysis

OPEN SOURCEMeta
Chatbot Arena ELO
1280
Output Speed
100 tok/s
Input Cost
$0.20/1M
Output Cost
$0.70/1M
Context Window
1.0M
Max Output
115K
Knowledge Cutoff
Aug 2024
Accepts
text, image

Llama 4 Maverick by Meta demonstrates competitive pricing. View detailed benchmark data including scores across coding, math, reasoning, speed, and cost metrics.

Specifications last checked against the provider on . Benchmark scores carry their own source, linked beside each number.

General Benchmarks

Chatbot Arena ELO
128048th of 74

Human preference ELO from blind head-to-head votes

LMSYS / HuggingFace
MMLU-Pro
80.5%24th of 66

Massive Multitask Language Understanding professional benchmark

HuggingFace Leaderboard
AA Intelligence Index
9.357th of 66

Artificial Analysis composite intelligence score across 10 sub-benchmarks

Artificial Analysis (via OpenRouter)

Coding Benchmarks

Website Arena ELO
883105th of 108

Human preference ELO for building a working web page from a brief

Design Arena (via OpenRouter)
LiveCodeBench
38.0%44th of 66

Live competitive programming benchmark

livecodebench.github.io
HumanEval+
80.0%43rd of 66

Code generation correctness with extended tests

Papers
SWE-bench Verified
35.0%43rd of 67

Real-world software engineering task resolution

swebench.com
AA Coding Index
16.379th of 96

Artificial Analysis composite coding score

Artificial Analysis (via OpenRouter)
Design Arena ELO
896117th of 120

Human preference ELO for building things — websites, UI, games, charts, SVG

Design Arena (via OpenRouter)

Math Benchmarks

GSM8K
89.0%45th of 66

Grade school math word problems

Papers
MATH
74.0%43rd of 66

Competition mathematics problem solving

Papers

Reasoning Benchmarks

τ²-Bench Airline
44.6%79th of 93

Multi-turn service agent making tool calls under strict policy constraints

OpenRouter (measured)
ARC-AGI
22.0%38th of 66

Abstraction and Reasoning Corpus for general intelligence

arcprize.org
GPQA Diamond
65.7%92nd of 140

Graduate-level science Q&A by domain experts

Papers
AA Agentic Index
0.667th of 70

Artificial Analysis composite score for multi-step tool-using tasks

Artificial Analysis (via OpenRouter)

Speed Benchmarks

Output Speed
100 tok/s31st of 94

Tokens generated per second

Aggregated
Time to First Token
250 ms19th of 92

Latency before first token arrives

Aggregated

Cost Benchmarks

Output Cost
$0.70178th of 413

Cost per 1M output tokens

OpenRouter API
Input Cost
$0.20169th of 413

Cost per 1M input tokens

OpenRouter API

Context Benchmarks

Context Length
1.0M18th of 451

Maximum context window size

OpenRouter API
RULER
83.5%9th of 13

Long-context understanding and retrieval accuracy at depth

Papers

Available from 3 providers

The same model costs different amounts depending on who serves it. You can bring your own key for 1 of these — connect it here.

ProviderInput / 1MOutput / 1MCached inContextYour key
NanoGPT$0.15$0.6$0.0751.0M—
DigitalOcean$0.2$0.696—128K—
OpenRouter$0.2$0.696—1.0MSupported

Llama 4 Maverick — Benchmark Scores Overview

Scores normalized to percentage scale for visual comparison. ELO scores mapped to 0-100 range (1100-1500).

Llama 4 Maverick — Frequently Asked Questions

How intelligent is Llama 4 Maverick?

Llama 4 Maverick scores 1280 on the Chatbot Arena ELO rating, making it a mid-tier AI model. This score is based on blind head-to-head human preference voting.

How much does Llama 4 Maverick cost?

Llama 4 Maverick costs $0.20 per 1M input tokens and $0.70 per 1M output tokens. This makes it one of the more affordable models.

How fast is Llama 4 Maverick?

Llama 4 Maverick generates output at 100 tokens per second, which is moderate compared to other models. The time to first token is 250 ms.

How good is Llama 4 Maverick at coding?

Llama 4 Maverick achieves 35.0% on SWE-bench Verified, demonstrating moderate real-world software engineering capability. This benchmark tests the model's ability to resolve actual GitHub issues.

How good is Llama 4 Maverick at math and reasoning?

Llama 4 Maverick scores 74.0% on the MATH benchmark (competition-level mathematics). It also achieves 65.7% on GPQA Diamond, a graduate-level science reasoning benchmark.

What is the context window of Llama 4 Maverick?

Llama 4 Maverick has a context window of 1.0M tokens. This determines how much text, conversation history, and code the model can process in a single request.

Who created Llama 4 Maverick?

Llama 4 Maverick was created by Meta. It is classified as a open source model in our catalogue.

Is Llama 4 Maverick open source?

Yes, Llama 4 Maverick is an open-source model. The model weights are publicly available for download and self-hosting.