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

Gemini 2.0 Flash Thinking
Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). 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 Mini
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.
Jamba 1.5 Mini
AI21 Labs
2024-08-22

Gemini 2.0 Flash Thinking
2025-01-21
5 months newer
Performance Metrics
Context window and performance specifications

Gemini 2.0 Flash Thinking
Jamba 1.5 Mini
Average performance across 1 common benchmarks

Gemini 2.0 Flash Thinking
Jamba 1.5 Mini
Performance comparison across key benchmark categories

Gemini 2.0 Flash Thinking
Jamba 1.5 Mini
Jamba 1.5 Mini
2024-03-05
Gemini 2.0 Flash Thinking
2024-08-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.0 Flash Thinking
Jamba 1.5 Mini
Bedrock

Gemini 2.0 Flash Thinking
Jamba 1.5 Mini