Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 23.8% higher average benchmark score. Jamba 1.5 Mini offers 282.9K more tokens in context window than DeepSeek-V3.2-Exp. Both models have similar pricing. Overall, DeepSeek-V3.2-Exp is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. 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.
1 year newer
Jamba 1.5 Mini
AI21 Labs
2024-08-22
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Cost per million tokens (USD)
DeepSeek-V3.2-Exp
Jamba 1.5 Mini
Context window and performance specifications
Average performance across 20 common benchmarks
DeepSeek-V3.2-Exp
Jamba 1.5 Mini
Jamba 1.5 Mini
2024-03-05
Available providers and their performance metrics
DeepSeek-V3.2-Exp
Novita
ZeroEval
Jamba 1.5 Mini
DeepSeek-V3.2-Exp
Jamba 1.5 Mini
DeepSeek-V3.2-Exp
Jamba 1.5 Mini
Bedrock