+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemma 2 9B vs o4-mini
Comprehensive side-by-side LLM comparison
Gemma 2 9B leads with 3.4% higher average benchmark score. o4-mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
+
+
+
+
Gemma 2 9B is a language model developed by Google. It achieves strong performance with an average score of 64.6% across 16 benchmarks. It excels particularly in ARC-E (88.0%), BoolQ (84.2%), HellaSwag (81.9%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.
+
+
+
+
OpenAI
o4-mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 66.5% across 14 benchmarks. It excels particularly in AIME 2024 (93.4%), AIME 2025 (92.7%), MathVista (84.3%). It supports a 300K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
9 months newer
Gemma 2 9B
2024-06-27
o4-mini
OpenAI
2025-04-16
Performance Metrics
Context window and performance specifications
Average performance across 30 common benchmarks
+
+
+
+
Gemma 2 9B
Average Score:34.5%(+3.4%)
+
+
+
+
o4-mini
Average Score:31.0%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
o4-mini
2024-05-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Gemma 2 9B
0 providers
+
+
+
+
o4-mini
1 providers
OpenAI
+
+
+
+
Gemma 2 9B
Avg Score:34.5%(+3.4%)
Providers:0
+
+
+
+
o4-mini
Avg Score:31.0%
Providers:1