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Llama 4 Scout vs Magistral Small 2506
Comprehensive side-by-side LLM comparison
Magistral Small 2506 leads with 14.7% higher average benchmark score. Llama 4 Scout supports multimodal inputs. Llama 4 Scout is available on 6 providers. Overall, Magistral Small 2506 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
Magistral Small was created as an efficient reasoning-focused variant, designed to bring analytical capabilities to applications with tighter resource constraints. Built to balance problem-solving depth with practical deployment needs, it extends reasoning-enhanced AI to broader use cases.
2 months newer
Llama 4 Scout
Meta
2025-04-05
Magistral Small 2506
Mistral AI
2025-06-10
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Llama 4 Scout
Average Score:45.0%
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Magistral Small 2506
Average Score:59.7%(+14.7%)
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Knowledge Cutoff
Training data recency comparison
Magistral Small 2506
2025-06-01
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:45.0%
Providers:6
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Magistral Small 2506
Avg Score:59.7%(+14.7%)
Providers:0