Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

DeepSeek

DeepSeek VL2 Small

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.

Jamba 1.5 Mini

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.

Jamba 1.5 Mini

AI21 Labs

2024-08-22

DeepSeek

DeepSeek VL2 Small

DeepSeek

2024-12-13

3 months newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek VL2 Small

Max Context:-
Parameters:16.0B

Jamba 1.5 Mini

Larger context
Max Context:512.3K
Parameters:52.0B

Performance comparison across key benchmark categories

DeepSeek

DeepSeek VL2 Small

math
60.7%
general
+22.3%
68.9%

Jamba 1.5 Mini

math
+15.1%
75.8%
general
46.6%
Knowledge Cutoff
Training data recency comparison

Jamba 1.5 Mini

2024-03-05

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek VL2 Small

0 providers

Jamba 1.5 Mini

2 providers

Google

Throughput: 100 tok/s
Latency: 0.3ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms
DeepSeek

DeepSeek VL2 Small

Avg Score:0.0%
Providers:0

Jamba 1.5 Mini

Avg Score:0.0%
Providers:2