Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 27.5% higher average benchmark score. Jamba 1.5 Large offers 249.9K more tokens in context window than Gemma 3 4B. Gemma 3 4B is $9.94 cheaper per million tokens. 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.
AI21 Labs
Jamba 1.5 Large is a language model developed by AI21 Labs. It achieves strong performance with an average score of 65.5% across 8 benchmarks. It excels particularly in ARC-C (93.0%), GSM8k (87.0%), MMLU (81.2%). It supports a 512K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents AI21 Labs's latest advancement in AI technology.
6 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Gemma 3 4B
2025-03-12
Cost per million tokens (USD)
Gemma 3 4B
Jamba 1.5 Large
Context window and performance specifications
Average performance across 31 common benchmarks
Gemma 3 4B
Jamba 1.5 Large
Jamba 1.5 Large
2024-03-05
Gemma 3 4B
2024-08-01
Available providers and their performance metrics
Gemma 3 4B
DeepInfra
Jamba 1.5 Large
Gemma 3 4B
Jamba 1.5 Large
Gemma 3 4B
Jamba 1.5 Large
Bedrock