Model Comparison
Llama 4 Maverick vs Llama 4 ScoutWhich is better in 2026?
Llama 4 Maverick significantly outperforms across most benchmarks. Llama 4 Scout is 2.1x cheaper per token.
Verdict: Llama 4 Maverick vs Llama 4 Scout — which is better?
Llama 4 Maverick (by Meta) and Llama 4 Scout (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Llama 4 Maverick outperforms in 11 benchmarks (ChartQA, GPQA, LiveCodeBench, MATH, MathVista, MBPP, MGSM, MMLU, MMLU-Pro, MMMU, TydiQA), while Llama 4 Scout is better at 0 benchmarks. Llama 4 Maverick significantly outperforms across most benchmarks.
On price, Llama 4 Scout is roughly 2.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Llama 4 Scout also accepts a larger context window (10,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Llama 4 Maverick if…
- you want the strongest raw capability — it leads on 11 of 12 shared benchmarks
Choose Llama 4 Scout if…
- cost matters — it's about 2.1x cheaper per token
- you process long inputs — it offers a 10,000,000 token context window
Performance Benchmarks
Comparative analysis across standard metrics
Llama 4 Maverick outperforms in 11 benchmarks (ChartQA, GPQA, LiveCodeBench, MATH, MathVista, MBPP, MGSM, MMLU, MMLU-Pro, MMMU, TydiQA), while Llama 4 Scout is better at 0 benchmarks.
Llama 4 Maverick significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Llama 4 Maverick ($0.17/1M tokens) is 2.1x more expensive than Llama 4 Scout ($0.08/1M tokens).
For output processing, Llama 4 Maverick ($0.60/1M tokens) is 2.0x more expensive than Llama 4 Scout ($0.30/1M tokens).
In conclusion, Llama 4 Maverick is more expensive than Llama 4 Scout.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Llama 4 Maverick has 291.0B more parameters than Llama 4 Scout, making it 267.0% larger.
Context Window
Maximum input and output token capacity
Llama 4 Scout accepts 10,000,000 input tokens compared to Llama 4 Maverick's 1,000,000 tokens. Llama 4 Scout can generate longer responses up to 10,000,000 tokens, while Llama 4 Maverick is limited to 1,000,000 tokens.
Input Capabilities
Supported data types and modalities
Both Llama 4 Maverick and Llama 4 Scout support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Llama 4 Maverick
Llama 4 Scout
License
Usage and distribution terms
Both models are licensed under Llama 4 Community License Agreement.
Both models share the same licensing terms, providing consistent usage rights.
Llama 4 Community License Agreement
Open weights
Llama 4 Community License Agreement
Open weights
Release Timeline
When each model was launched
Both models were released on 2025-04-05.
They likely represent similar generations of model development.
Apr 5, 2025
1.3 years ago
Apr 5, 2025
1.3 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Llama 4 Maverick is available from DeepInfra, Novita, Lambda, Groq, Fireworks, Together, Sambanova. Llama 4 Scout is available from DeepInfra, Lambda, Novita, Groq, Fireworks, Together.
Llama 4 Maverick
Llama 4 Scout
Outputs Comparison
Key Takeaways
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Llama 4 Maverick and Llama 4 Scout side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Llama 4 Maverick vs Llama 4 Scout.