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.

DeepSeek

DeepSeek-V2.5

DeepSeek

DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. Released in 2024, it represents DeepSeek's latest advancement in AI technology.

DeepSeek

DeepSeek-V2.5

DeepSeek

2024-05-08

DeepSeek

DeepSeek VL2 Small

DeepSeek

2024-12-13

7 months newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek VL2 Small

Max Context:-
Parameters:16.0B
DeepSeek

DeepSeek-V2.5

Larger context
Max Context:16.4K
Parameters:236.0B

Performance comparison across key benchmark categories

DeepSeek

DeepSeek VL2 Small

roleplay
62.9%
math
60.7%
general
+0.5%
68.9%
DeepSeek

DeepSeek-V2.5

roleplay
+27.3%
90.2%
math
+24.2%
84.9%
general
68.4%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek VL2 Small

0 providers
DeepSeek

DeepSeek-V2.5

3 providers

Hyperbolic

Throughput: 100 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 63 tok/s
Latency: 0.5ms

DeepSeek

Throughput: 100 tok/s
Latency: 0.5ms
DeepSeek

DeepSeek VL2 Small

Avg Score:0.0%
Providers:0
DeepSeek

DeepSeek-V2.5

Avg Score:0.0%
Providers:3