Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash leads with 16.7% higher average benchmark score. Gemini 2.5 Flash offers 602.1K more tokens in context window than Jamba 1.5 Large. Gemini 2.5 Flash is $7.20 cheaper per million tokens. Gemini 2.5 Flash supports multimodal inputs. Overall, Gemini 2.5 Flash is the stronger choice for coding tasks.
Gemini 2.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 14 benchmarks. It excels particularly in Global-MMLU-Lite (88.4%), AIME 2024 (88.0%), FACTS Grounding (85.3%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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 Flash
2025-05-20
Cost per million tokens (USD)
Gemini 2.5 Flash
Jamba 1.5 Large
Context window and performance specifications
Average performance across 21 common benchmarks
Gemini 2.5 Flash
Jamba 1.5 Large
Jamba 1.5 Large
2024-03-05
Gemini 2.5 Flash
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Flash
ZeroEval
Jamba 1.5 Large
Gemini 2.5 Flash
Jamba 1.5 Large
Gemini 2.5 Flash
Jamba 1.5 Large
Bedrock