+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Llama 4 Scout vs Mistral Small 3.1 24B Instruct
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Llama 4 Scout is available on 6 providers. Both models have their strengths depending on your specific coding needs.
+
+
+
+
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.
+
+
+
+
Mistral AI
Mistral Small 3.1 24B Instruct was developed as the instruction-tuned version of the 3.1 base model, designed to deliver improved instruction-following with refinements from the updated architecture. Built to serve diverse applications with enhanced reliability, it advances the Small model line's capabilities.
19 days newer
Mistral Small 3.1 24B Instruct
Mistral AI
2025-03-17
Llama 4 Scout
Meta
2025-04-05
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
+
+
+
+
Llama 4 Scout
Average Score:66.4%(+0.3%)
+
+
+
+
Mistral Small 3.1 24B Instruct
Average Score:66.1%
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
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
+
+
+
+
Llama 4 Scout
Avg Score:66.4%(+0.3%)
Providers:6
+
+
+
+
Mistral Small 3.1 24B Instruct
Avg Score:66.1%
Providers:0