Comprehensive side-by-side LLM comparison
Jamba 1.5 Large leads with 20.6% higher average benchmark score. Jamba 1.5 Large offers 256.0K more tokens in context window than DeepSeek R1 Distill Qwen 32B. DeepSeek R1 Distill Qwen 32B is $9.70 cheaper per million tokens. Overall, Jamba 1.5 Large is the stronger choice for coding tasks.
DeepSeek
DeepSeek R1 Distill Qwen 32B is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.2% across 4 benchmarks. It excels particularly in MATH-500 (94.3%), AIME 2024 (83.3%), GPQA (62.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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.
5 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
Cost per million tokens (USD)
DeepSeek R1 Distill Qwen 32B
Jamba 1.5 Large
Context window and performance specifications
Average performance across 11 common benchmarks
DeepSeek R1 Distill Qwen 32B
Jamba 1.5 Large
Jamba 1.5 Large
2024-03-05
Available providers and their performance metrics
DeepSeek R1 Distill Qwen 32B
DeepInfra
Jamba 1.5 Large
DeepSeek R1 Distill Qwen 32B
Jamba 1.5 Large
DeepSeek R1 Distill Qwen 32B
Jamba 1.5 Large
Bedrock