Comprehensive side-by-side LLM comparison
DeepSeek VL2 leads with 24.7% higher average benchmark score. Jamba 1.5 Mini offers 253.7K more tokens in context window than DeepSeek VL2. Jamba 1.5 Mini is $4808.90 cheaper per million tokens. DeepSeek VL2 supports multimodal inputs. Overall, DeepSeek VL2 is the stronger choice for coding tasks.
DeepSeek
DeepSeek VL2 is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 70.9% across 14 benchmarks. It excels particularly in DocVQA (93.3%), ChartQA (86.0%), TextVQA (84.2%). It supports a 259K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, 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.
3 months newer
Jamba 1.5 Mini
AI21 Labs
2024-08-22
DeepSeek VL2
DeepSeek
2024-12-13
Cost per million tokens (USD)
DeepSeek VL2
Jamba 1.5 Mini
Context window and performance specifications
Average performance across 22 common benchmarks
DeepSeek VL2
Jamba 1.5 Mini
Jamba 1.5 Mini
2024-03-05
Available providers and their performance metrics
DeepSeek VL2
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Jamba 1.5 Mini
DeepSeek VL2
Jamba 1.5 Mini
DeepSeek VL2
Jamba 1.5 Mini
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