+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Devstral Small 1.1 vs Gemma 3n E4B
Comprehensive side-by-side LLM comparison
Gemma 3n E4B leads with 54.8% higher average benchmark score. Gemma 3n E4B supports multimodal inputs. Overall, Gemma 3n E4B is the stronger choice for coding tasks.
+
+
+
+
Mistral AI
Devstral Small 1.1 is a language model developed by Mistral AI. The model shows competitive results across 1 benchmarks. Notable strengths include SWE-Bench Verified (53.6%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
+
+
+
+
Gemma 3n E4B is a multimodal language model developed by Google. It achieves strong performance with an average score of 64.6% across 11 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
15 days newer
Gemma 3n E4B
2025-06-26
Devstral Small 1.1
Mistral AI
2025-07-11
Performance Metrics
Context window and performance specifications
Average performance across 12 common benchmarks
+
+
+
+
Devstral Small 1.1
Average Score:4.5%
+
+
+
+
Gemma 3n E4B
Average Score:59.2%(+54.8%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Devstral Small 1.1
1 providers
Mistral AI
Throughput: 137.1 tok/s
Latency: 0.23ms
+
+
+
+
Gemma 3n E4B
+
+
+
+
Devstral Small 1.1
Avg Score:4.5%
Providers:1
+
+
+
+
Gemma 3n E4B
Avg Score:59.2%(+54.8%)
Providers:0