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Llama 4 Scout vs Mistral Small
Comprehensive side-by-side LLM comparison
Llama 4 Scout offers 19.9M more tokens in context window than Mistral Small. Both models have similar pricing. Llama 4 Scout supports multimodal inputs. 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 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
Mistral Small is a language model developed by Mistral AI. The model is available through 1 API provider. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
6 months newer
Mistral Small
Mistral AI
2024-09-17
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($0.42 cheaper)
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Mistral Small
Input:$0.20
Output:$0.60
Performance Metrics
Context window and performance specifications
Average performance across 12 common benchmarks
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Llama 4 Scout
Average Score:67.3%(+67.3%)
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Mistral Small
Average Score:0.0%
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:67.3%(+67.3%)
Providers:6
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Mistral Small
Avg Score:0.0%
Providers:1