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Llama 4 Scout vs Pixtral-12B
Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 8.8% higher average benchmark score. Llama 4 Scout offers 19.9M more tokens in context window than Pixtral-12B. Both models have similar pricing. Llama 4 Scout is available on 6 providers. Overall, Llama 4 Scout is the stronger choice for coding tasks.
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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 12B was introduced as Mistral's multimodal vision-language model, designed to understand and reason about both images and text. Built with 12 billion parameters for integrated visual and textual processing, it extends Mistral's capabilities into multimodal applications.
6 months newer
Pixtral-12B
Mistral AI
2024-09-17
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
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Pixtral-12B
Input:$0.15
Output:$0.15($0.08 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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Llama 4 Scout
Average Score:75.5%(+8.8%)
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Pixtral-12B
Average Score:66.7%
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:75.5%(+8.8%)
Providers:6
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Pixtral-12B
Avg Score:66.7%
Providers:1