Comprehensive side-by-side LLM comparison
Jamba 1.5 Large leads with 9.2% higher average benchmark score. Jamba 1.5 Large offers 471.0K more tokens in context window than Gemini 1.0 Pro. Gemini 1.0 Pro is $8.00 cheaper per million tokens. Overall, Jamba 1.5 Large is the stronger choice for coding tasks.
Gemini 1.0 Pro was developed as Google's initial production-ready multimodal model, designed to handle text and provide strong performance across diverse tasks. Built to serve as a versatile foundation for applications requiring reliable language understanding and generation, it introduced the Gemini architecture to developers and enterprises.
AI21 Labs
Jamba 1.5 Large was developed by AI21 Labs using a hybrid architecture combining transformer and state space models, designed to provide efficient long-context understanding. Built to handle extended documents and conversations with computational efficiency, it represents AI21's innovation in efficient large-scale model design.
6 months newer

Gemini 1.0 Pro
2024-02-15
Jamba 1.5 Large
AI21 Labs
2024-08-22
Cost per million tokens (USD)

Gemini 1.0 Pro
Jamba 1.5 Large
Context window and performance specifications
Average performance across 2 common benchmarks

Gemini 1.0 Pro
Jamba 1.5 Large
Gemini 1.0 Pro
2024-02-01
Jamba 1.5 Large
2024-03-05
Available providers and their performance metrics

Gemini 1.0 Pro
Jamba 1.5 Large

Gemini 1.0 Pro
Jamba 1.5 Large

Gemini 1.0 Pro
Jamba 1.5 Large
Bedrock