+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemma 3 4B vs Kimi K2 Base
Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 14.1% higher average benchmark score. Gemma 3 4B supports multimodal inputs. Overall, Gemma 3 4B is the stronger choice for coding tasks.
+
+
+
+
Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). It supports a 262K 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.
+
+
+
+
Moonshot AI
Kimi K2 Base is a language model developed by Moonshot AI. It achieves strong performance with an average score of 69.2% across 13 benchmarks. It excels particularly in C-Eval (92.5%), GSM8k (92.1%), MMLU-redux-2.0 (90.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
4 months newer
Gemma 3 4B
2025-03-12
Kimi K2 Base
Moonshot AI
2025-07-11
Performance Metrics
Context window and performance specifications
Average performance across 34 common benchmarks
+
+
+
+
Gemma 3 4B
Average Score:40.5%(+14.1%)
+
+
+
+
Kimi K2 Base
Average Score:26.5%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Gemma 3 4B
2024-08-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Gemma 3 4B
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
+
+
+
+
Kimi K2 Base
+
+
+
+
Gemma 3 4B
Avg Score:40.5%(+14.1%)
Providers:1
+
+
+
+
Kimi K2 Base
Avg Score:26.5%
Providers:0