Llama 4 Maverick by Meta demonstrates competitive pricing. View detailed benchmark data including scores across coding, math, reasoning, speed, and cost metrics.
General Benchmarks
Coding Benchmarks
Reasoning Benchmarks
Speed Benchmarks
Cost Benchmarks
Context Benchmarks
Llama 4 Maverick — Benchmark Scores Overview
Scores normalized to percentage scale for visual comparison. ELO scores mapped to 0-100 range (1100-1500).
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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 $0.25 per 1M input tokens and $0.80 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 44.0% 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 the AI Value Index.
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.