Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro Preview 06-05 leads with 18.5% higher average benchmark score. Gemini 2.5 Pro Preview 06-05 offers 602.1K more tokens in context window than Jamba 1.5 Large. Jamba 1.5 Large is $1.25 cheaper per million tokens. Gemini 2.5 Pro Preview 06-05 supports multimodal inputs. Overall, Gemini 2.5 Pro Preview 06-05 is the stronger choice for coding tasks.
Gemini 2.5 Pro Preview 06-05 is a multimodal language model developed by Google. It achieves strong performance with an average score of 68.8% across 13 benchmarks. It excels particularly in Global-MMLU-Lite (89.2%), AIME 2025 (88.0%), FACTS Grounding (87.8%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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.
9 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Gemini 2.5 Pro Preview 06-05
2025-06-05
Cost per million tokens (USD)
Gemini 2.5 Pro Preview 06-05
Jamba 1.5 Large
Context window and performance specifications
Average performance across 20 common benchmarks
Gemini 2.5 Pro Preview 06-05
Jamba 1.5 Large
Jamba 1.5 Large
2024-03-05
Gemini 2.5 Pro Preview 06-05
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Pro Preview 06-05
Jamba 1.5 Large
Gemini 2.5 Pro Preview 06-05
Jamba 1.5 Large
Gemini 2.5 Pro Preview 06-05
Jamba 1.5 Large
Bedrock