Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek-V2.5
DeepSeek
DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. Released in 2024, 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.
DeepSeek-V2.5
DeepSeek
2024-05-08
Jamba 1.5 Large
AI21 Labs
2024-08-22
3 months newer
Pricing Comparison
Cost per million tokens (USD)
DeepSeek-V2.5
Jamba 1.5 Large
Performance Metrics
Context window and performance specifications
DeepSeek-V2.5
Jamba 1.5 Large
Average performance across 3 common benchmarks
DeepSeek-V2.5
Jamba 1.5 Large
Performance comparison across key benchmark categories
DeepSeek-V2.5
Jamba 1.5 Large
Jamba 1.5 Large
2024-03-05
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-V2.5
Hyperbolic
DeepInfra
DeepSeek
Jamba 1.5 Large
Bedrock
DeepSeek-V2.5
Jamba 1.5 Large