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Llama 4 Scout vs Pixtral Large
Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 16.3% 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. Overall, Llama 4 Scout is the stronger choice for coding tasks.
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Meta
Llama 4 Scout is a multimodal language model developed by Meta. It achieves strong performance with an average score of 67.3% across 12 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (90.6%), ChartQA (88.8%). With a 20.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.
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Mistral AI
Pixtral Large is a multimodal language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 80.5% across 7 benchmarks. It excels particularly in AI2D (93.8%), DocVQA (93.3%), ChartQA (88.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
4 months newer
Pixtral Large
Mistral AI
2024-11-18
Llama 4 Scout
Meta
2025-04-05
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 15 common benchmarks
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Llama 4 Scout
Average Score:53.8%(+16.3%)
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Pixtral Large
Average Score:37.6%
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:53.8%(+16.3%)
Providers:6
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Pixtral Large
Avg Score:37.6%
Providers:1