+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemma 2 27B vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 5.9% higher average benchmark score. Llama 4 Scout supports multimodal inputs. Llama 4 Scout is available on 6 providers. Overall, Llama 4 Scout is the stronger choice for coding tasks.
+
+
+
+
Gemma 2 27B was developed as an open-source language model with 27 billion parameters, designed to provide researchers and developers with a capable, instruction-tuned model for experimentation and deployment. Built to democratize access to advanced language understanding, it combines strong performance with the flexibility of open-source licensing.
+
+
+
+
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.
9 months newer
Gemma 2 27B
2024-06-27
Llama 4 Scout
Meta
2025-04-05
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
+
+
+
+
Gemma 2 27B
Average Score:60.0%
+
+
+
+
Llama 4 Scout
Average Score:65.9%(+5.9%)
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Gemma 2 27B
0 providers
+
+
+
+
Llama 4 Scout
6 providers
DeepInfra
+
+
+
+
Gemma 2 27B
Avg Score:60.0%
Providers:0
+
+
+
+
Llama 4 Scout
Avg Score:65.9%(+5.9%)
Providers:6