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

DeepSeek R1 Zero
DeepSeek
DeepSeek R1 Zero is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.5% across 4 benchmarks. It excels particularly in MATH-500 (95.9%), AIME 2024 (86.7%), GPQA (73.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek'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

DeepSeek R1 Zero
DeepSeek
2025-01-20
5 months newer
Performance Metrics
Context window and performance specifications

DeepSeek R1 Zero
Jamba 1.5 Mini
Average performance across 1 common benchmarks

DeepSeek R1 Zero
Jamba 1.5 Mini
Performance comparison across key benchmark categories

DeepSeek R1 Zero
Jamba 1.5 Mini
Jamba 1.5 Mini
2024-03-05
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek R1 Zero
Jamba 1.5 Mini
Bedrock

DeepSeek R1 Zero
Jamba 1.5 Mini