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Llama 4 Scout vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 11.7% higher average benchmark score. Llama 4 Scout offers 19.7M more tokens in context window than Mistral Small 3.1 24B Base. 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
Mistral Small 3.1 24B Base represents an updated iteration of the 24B foundation model, developed with architectural refinements and improved training. Built to provide enhanced base capabilities for fine-tuning, it incorporates learnings from previous versions for better downstream performance.
19 days newer
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
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($0.02 cheaper)
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Mistral Small 3.1 24B Base
Input:$0.10
Output:$0.30
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Llama 4 Scout
Average Score:70.1%(+11.7%)
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Mistral Small 3.1 24B Base
Average Score:58.5%
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:70.1%(+11.7%)
Providers:6
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Mistral Small 3.1 24B Base
Avg Score:58.5%
Providers:1