Comprehensive side-by-side LLM comparison
Jamba 1.5 Large leads with 15.6% higher average benchmark score. Jamba 1.5 Large offers 184.3K more tokens in context window than DeepSeek-V3 0324. DeepSeek-V3 0324 is $8.58 cheaper per million tokens. Overall, Jamba 1.5 Large is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3 0324 is a language model developed by DeepSeek. It achieves strong performance with an average score of 70.4% across 5 benchmarks. It excels particularly in MATH-500 (94.0%), MMLU-Pro (81.2%), GPQA (68.4%). It supports a 328K token context window for handling large documents. The model is available through 1 API provider. 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.
7 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
DeepSeek-V3 0324
DeepSeek
2025-03-25
Cost per million tokens (USD)
DeepSeek-V3 0324
Jamba 1.5 Large
Context window and performance specifications
Average performance across 11 common benchmarks
DeepSeek-V3 0324
Jamba 1.5 Large
Jamba 1.5 Large
2024-03-05
Available providers and their performance metrics
DeepSeek-V3 0324
Novita
Jamba 1.5 Large
Bedrock
DeepSeek-V3 0324
Jamba 1.5 Large
DeepSeek-V3 0324
Jamba 1.5 Large