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Llama 4 Scout vs Pixtral Large
Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 2.1% higher average benchmark score. Llama 4 Scout offers 19.7M more tokens in context window than Pixtral Large. Llama 4 Scout is $7.62 cheaper per million tokens. Llama 4 Scout is available on 6 providers. Both models have their strengths depending on your specific coding needs.
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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.
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Mistral AI
Pixtral Large was developed as a larger-scale multimodal model, designed to provide advanced vision-language understanding capabilities. Built to handle complex tasks requiring sophisticated analysis of visual and textual information, it represents Mistral's flagship offering for multimodal applications.
4 months newer
Pixtral Large
Mistral AI
2024-11-18
Llama 4 Scout
Meta
2025-04-05
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Pricing Comparison
Cost per million tokens (USD)
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Llama 4 Scout
Input:$0.08
Output:$0.30($7.62 cheaper)
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Pixtral Large
Input:$2.00
Output:$6.00
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Llama 4 Scout
Average Score:80.8%(+2.1%)
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Pixtral Large
Average Score:78.7%
Provider Availability & Performance
Available providers and their performance metrics
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Llama 4 Scout
6 providers
DeepInfra
Throughput: 76.1 tok/s
Latency: 0.31ms
Fireworks
Throughput: 116.1 tok/s
Latency: 0.53ms
Groq
Throughput: 776.1 tok/s
Latency: 1.08ms
Lambda
Throughput: 139.7 tok/s
Latency: 0.43ms
Novita
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Llama 4 Scout
Avg Score:80.8%(+2.1%)
Providers:6
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Pixtral Large
Avg Score:78.7%
Providers:1