Model Comparison

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

DeepSeek

DeepSeek-V3.2-Exp

DeepSeek

DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

Google

Gemma 3n E4B Instructed LiteRT Preview

Google

Gemma 3n E4B Instructed LiteRT Preview is a multimodal language model developed by Google. The model shows competitive results across 28 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.

Google

Gemma 3n E4B Instructed LiteRT Preview

Google

2025-05-20

DeepSeek

DeepSeek-V3.2-Exp

DeepSeek

2025-09-29

4 months newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V3.2-Exp

Larger context
Max Context:229.4K
Parameters:685.0B
Google

Gemma 3n E4B Instructed LiteRT Preview

Max Context:-
Parameters:1.9B

Average performance across 38 common benchmarks

DeepSeek

DeepSeek-V3.2-Exp

Average Score:24.4%
Google

Gemma 3n E4B Instructed LiteRT Preview

+12.7%
Average Score:37.1%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V3.2-Exp

math
+49.8%
86.5%
code
+25.4%
64.3%
general
+11.4%
62.1%
Google

Gemma 3n E4B Instructed LiteRT Preview

math
36.7%
code
38.9%
general
50.7%
Knowledge Cutoff
Training data recency comparison

Gemma 3n E4B Instructed LiteRT Preview

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek-V3.2-Exp

2 providers

Novita

ZeroEval

Throughput: 100 tok/s
Latency: 0.7ms
Google

Gemma 3n E4B Instructed LiteRT Preview

0 providers
DeepSeek

DeepSeek-V3.2-Exp

Avg Score:24.4%
Providers:2
Google

Gemma 3n E4B Instructed LiteRT Preview

+12.7%
Avg Score:37.1%
Providers:0