Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Gemini 2.0 Flash-Lite
Gemini 2.0 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in MATH (86.8%), FACTS Grounding (83.6%), Global-MMLU-Lite (78.2%). 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.
Jamba 1.5 Large
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.
Jamba 1.5 Large
AI21 Labs
2024-08-22

Gemini 2.0 Flash-Lite
2025-02-05
5 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 2.0 Flash-Lite
Jamba 1.5 Large
Performance Metrics
Context window and performance specifications

Gemini 2.0 Flash-Lite
Jamba 1.5 Large
Average performance across 2 common benchmarks

Gemini 2.0 Flash-Lite
Jamba 1.5 Large
Performance comparison across key benchmark categories

Gemini 2.0 Flash-Lite
Jamba 1.5 Large
Jamba 1.5 Large
2024-03-05
Gemini 2.0 Flash-Lite
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.0 Flash-Lite
Jamba 1.5 Large
Bedrock

Gemini 2.0 Flash-Lite
Jamba 1.5 Large