Comprehensive side-by-side LLM comparison
Gemma 3 27B leads with 40.4% higher average benchmark score. Jamba 1.5 Mini offers 250.1K more tokens in context window than Gemma 3 27B. Both models have similar pricing. Gemma 3 27B supports multimodal inputs. Overall, Gemma 3 27B is the stronger choice for coding tasks.
Gemma 3 27B is a multimodal language model developed by Google. It achieves strong performance with an average score of 65.4% across 26 benchmarks. It excels particularly in GSM8k (95.9%), IFEval (90.4%), MATH (89.0%). It supports a 262K token context window for handling large documents. The model is available through 2 API providers. 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 Mini is a language model developed by AI21 Labs. The model shows competitive results across 8 benchmarks. It excels particularly in ARC-C (85.7%), GSM8k (75.8%), MMLU (69.7%). 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 Mini
AI21 Labs
2024-08-22
Gemma 3 27B
2025-03-12
Cost per million tokens (USD)
Gemma 3 27B
Jamba 1.5 Mini
Context window and performance specifications
Average performance across 31 common benchmarks
Gemma 3 27B
Jamba 1.5 Mini
Jamba 1.5 Mini
2024-03-05
Available providers and their performance metrics
Gemma 3 27B
DeepInfra
Novita
Jamba 1.5 Mini
Gemma 3 27B
Jamba 1.5 Mini
Gemma 3 27B
Jamba 1.5 Mini
Bedrock