+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemini 1.0 Pro vs Gemma 2 9B
Comprehensive side-by-side LLM comparison
Gemma 2 9B leads with 27.2% higher average benchmark score. Overall, Gemma 2 9B is the stronger choice for coding tasks.
+
+
+
+
Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.
+
+
+
+
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.
4 months newer
Gemini 1.0 Pro
2024-02-15
Gemma 2 9B
2024-06-27
Performance Metrics
Context window and performance specifications
Average performance across 22 common benchmarks
+
+
+
+
Gemini 1.0 Pro
Average Score:19.8%
+
+
+
+
Gemma 2 9B
Average Score:47.0%(+27.2%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Gemini 1.0 Pro
1 providers
Throughput: 120 tok/s
Latency: 0.4ms
+
+
+
+
Gemma 2 9B
+
+
+
+
Gemini 1.0 Pro
Avg Score:19.8%
Providers:1
+
+
+
+
Gemma 2 9B
Avg Score:47.0%(+27.2%)
Providers:0