Comprehensive side-by-side LLM comparison
Jamba 1.5 Large leads with 3.1% higher average benchmark score. Jamba 1.5 Large is available on 2 providers. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-R1-Distill-Qwen-1.5B was created through distillation into an ultra-compact Qwen architecture, designed to enable reasoning capabilities on resource-constrained devices. Built with just 1.5 billion parameters, it brings advanced analytical techniques to edge computing and mobile scenarios.
AI21 Labs
Jamba 1.5 Large was developed by AI21 Labs using a hybrid architecture combining transformer and state space models, designed to provide efficient long-context understanding. Built to handle extended documents and conversations with computational efficiency, it represents AI21's innovation in efficient large-scale model design.
5 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22

DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
Context window and performance specifications
Average performance across 1 common benchmarks

DeepSeek R1 Distill Qwen 1.5B
Jamba 1.5 Large
Jamba 1.5 Large
2024-03-05
Available providers and their performance metrics

DeepSeek R1 Distill Qwen 1.5B
Jamba 1.5 Large
Bedrock

DeepSeek R1 Distill Qwen 1.5B
Jamba 1.5 Large

DeepSeek R1 Distill Qwen 1.5B
Jamba 1.5 Large