+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek VL2 Small vs Jamba 1.5 Large
Comprehensive side-by-side LLM comparison
DeepSeek VL2 Small leads with 20.5% higher average benchmark score. DeepSeek VL2 Small supports multimodal inputs. Jamba 1.5 Large is available on 2 providers. Overall, DeepSeek VL2 Small is the stronger choice for coding tasks.
+
+
+
+
DeepSeek
DeepSeek VL2 Small is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 69.6% across 14 benchmarks. It excels particularly in DocVQA (92.3%), ChartQA (84.5%), OCRBench (83.4%). 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 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.
3 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
DeepSeek VL2 Small
DeepSeek
2024-12-13
Performance Metrics
Context window and performance specifications
Average performance across 22 common benchmarks
+
+
+
+
DeepSeek VL2 Small
Average Score:44.3%(+20.5%)
+
+
+
+
Jamba 1.5 Large
Average Score:23.8%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Jamba 1.5 Large
2024-03-05
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek VL2 Small
0 providers
+
+
+
+
Jamba 1.5 Large
2 providers
Bedrock
Throughput:
+
+
+
+
DeepSeek VL2 Small
Avg Score:44.3%(+20.5%)
Providers:0
+
+
+
+
Jamba 1.5 Large
Avg Score:23.8%
Providers:2