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Llama 4 Maverick vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
Llama 4 Maverick leads with 5.5% higher average benchmark score. Llama 4 Scout offers 18.0M more tokens in context window than Llama 4 Maverick. Both models have similar pricing. Overall, Llama 4 Maverick is the stronger choice for coding tasks.
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Meta
Llama 4 Maverick was developed as a variant in Meta's fourth-generation language model family, designed to explore specialized capabilities and training approaches. Built to push the boundaries of open-source model development, it represents experimentation with advanced techniques in the Llama lineage.
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Meta
Llama 4 Scout was created as an exploratory variant in the Llama 4 family, designed to investigate new architectures and optimization strategies. Built as part of Meta's commitment to advancing open-source AI, it serves as a testbed for innovations that may inform future model releases.
Launched on the same date
Llama 4 Maverick
Meta
2025-04-05
Llama 4 Scout
Meta
2025-04-05
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Pricing Comparison
Cost per million tokens (USD)
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Llama 4 Maverick
Input:$0.17
Output:$0.60
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Llama 4 Scout
Input:$0.08
Output:$0.30($0.39 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 12 common benchmarks
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Llama 4 Maverick
Average Score:72.8%(+5.5%)
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Llama 4 Scout
Average Score:67.3%
Provider Availability & Performance
Available providers and their performance metrics
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Llama 4 Maverick
7 providers
DeepInfra
Throughput: 83.59 tok/s
Latency: 0.38ms
Fireworks
Throughput: 63.03 tok/s
Latency: 0.62ms
Groq
Throughput: 307.3 tok/s
Latency: 0.27ms
Lambda
Throughput: 93.69 tok/s
Latency: 0.65ms
Novita
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Llama 4 Maverick
Avg Score:72.8%(+5.5%)
Providers:7
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Llama 4 Scout
Avg Score:67.3%
Providers:6