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Llama 4 Scout vs Mistral Small 3.2 24B Instruct
Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 1.2% higher average benchmark score. 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
Mistral Small 3.2 24B Instruct represents a further evolution of the Small model series, developed with continued refinements to instruction-following and task performance. Built to incorporate ongoing improvements, it provides the latest capabilities in Mistral's intermediate-scale offering.
2 months newer
Llama 4 Scout
Meta
2025-04-05
Mistral Small 3.2 24B Instruct
Mistral AI
2025-06-20
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Performance Metrics
Context window and performance specifications
Average performance across 8 common benchmarks
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Llama 4 Scout
Average Score:73.1%(+1.2%)
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Mistral Small 3.2 24B Instruct
Average Score:71.9%
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Knowledge Cutoff
Training data recency comparison
Mistral Small 3.2 24B Instruct
2023-10-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
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:73.1%(+1.2%)
Providers:6
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Mistral Small 3.2 24B Instruct
Avg Score:71.9%
Providers:0