Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 6.3% higher average benchmark score. Gemma 3 4B offers 6.1K more tokens in context window than Nova Micro. Both models have similar pricing. 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.
Amazon
Nova Micro is a language model developed by Amazon. It achieves strong performance with an average score of 67.0% across 17 benchmarks. It excels particularly in GSM8k (92.3%), ARC-C (90.2%), Translation Set1→en COMET22 (88.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Amazon's latest advancement in AI technology.
3 months newer
Nova Micro
Amazon
2024-11-20
Gemma 3 4B
2025-03-12
Cost per million tokens (USD)
Gemma 3 4B
Nova Micro
Context window and performance specifications
Average performance across 38 common benchmarks
Gemma 3 4B
Nova Micro
Gemma 3 4B
2024-08-01
Available providers and their performance metrics
Gemma 3 4B
DeepInfra
Nova Micro
Gemma 3 4B
Nova Micro
Gemma 3 4B
Nova Micro
Bedrock