Comprehensive side-by-side LLM comparison
Jamba 1.5 Mini leads with 13.8% higher average benchmark score. Jamba 1.5 Mini offers 256.3K more tokens in context window than DeepSeek R1 Distill Qwen 32B. Both models have similar pricing. Overall, Jamba 1.5 Mini 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 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.
5 months newer
Jamba 1.5 Mini
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 Mini
Context window and performance specifications
Average performance across 11 common benchmarks
DeepSeek R1 Distill Qwen 32B
Jamba 1.5 Mini
Jamba 1.5 Mini
2024-03-05
Available providers and their performance metrics
DeepSeek R1 Distill Qwen 32B
DeepInfra
Jamba 1.5 Mini
DeepSeek R1 Distill Qwen 32B
Jamba 1.5 Mini
DeepSeek R1 Distill Qwen 32B
Jamba 1.5 Mini
Bedrock