+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemini 2.5 Pro vs Gemma 3 1B
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 18.6% higher average benchmark score. Gemini 2.5 Pro supports multimodal inputs. Gemini 2.5 Pro is available on 2 providers. Overall, Gemini 2.5 Pro is the stronger choice for coding tasks.
+
+
+
+
Gemini 2.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 69.6% across 16 benchmarks. It excels particularly in MRCR (93.0%), AIME 2024 (92.0%), Global-MMLU-Lite (88.6%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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.
+
+
+
+
Gemma 3 1B is a language model developed by Google. The model shows competitive results across 18 benchmarks. It excels particularly in IFEval (80.2%), GSM8k (62.8%), Natural2Code (56.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.
2 months newer
Gemma 3 1B
2025-03-12
Gemini 2.5 Pro
2025-05-20
Performance Metrics
Context window and performance specifications
Average performance across 31 common benchmarks
+
+
+
+
Gemini 2.5 Pro
Average Score:35.9%(+18.6%)
+
+
+
+
Gemma 3 1B
Average Score:17.4%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Gemini 2.5 Pro
2025-01-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Gemini 2.5 Pro
2 providers
Throughput: 85 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
+
+
+
+
+
+
+
+
Gemini 2.5 Pro
Avg Score:35.9%(+18.6%)
Providers:2
+
+
+
+
Gemma 3 1B
Avg Score:17.4%
Providers:0