Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek-R1
DeepSeek
DeepSeek-R1 is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.1% across 20 benchmarks. It excels particularly in MATH-500 (97.3%), MMLU-Redux (92.9%), CLUEWSC (92.8%). It supports a 262K token context window for handling large documents. The model is available through 4 API providers. Released in 2025, it represents DeepSeek'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
DeepSeek-R1
DeepSeek
2025-01-20
5 months newer
Pricing Comparison
Cost per million tokens (USD)
DeepSeek-R1
Jamba 1.5 Large
Performance Metrics
Context window and performance specifications
DeepSeek-R1
Jamba 1.5 Large
Average performance across 4 common benchmarks
DeepSeek-R1
Jamba 1.5 Large
Performance comparison across key benchmark categories
DeepSeek-R1
Jamba 1.5 Large
Jamba 1.5 Large
2024-03-05
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-R1
Together
DeepInfra
Fireworks
DeepSeek
Jamba 1.5 Large
Bedrock
DeepSeek-R1
Jamba 1.5 Large