Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 30.0% higher average benchmark score. Gemma 3 4B offers 6.1K more tokens in context window than Command R+. Gemma 3 4B is $1.19 cheaper per million tokens. Gemma 3 4B supports multimodal inputs. Overall, Gemma 3 4B is the stronger choice for coding tasks.
Cohere
Command R+ is a language model developed by Cohere. It achieves strong performance with an average score of 74.6% across 6 benchmarks. It excels particularly in HellaSwag (88.6%), Winogrande (85.4%), MMLU (75.7%). It supports a 256K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents Cohere's latest advancement in AI technology.
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.
6 months newer
Command R+
Cohere
2024-08-30
Gemma 3 4B
2025-03-12
Cost per million tokens (USD)
Command R+
Gemma 3 4B
Context window and performance specifications
Average performance across 31 common benchmarks
Command R+
Gemma 3 4B
Gemma 3 4B
2024-08-01
Available providers and their performance metrics
Command R+
Bedrock
Cohere
Command R+
Gemma 3 4B
Command R+
Gemma 3 4B
Gemma 3 4B
DeepInfra