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

Gemini Diffusion

Google

Gemini Diffusion is a language model developed by Google. The model shows competitive results across 10 benchmarks. It excels particularly in HumanEval (89.6%), MBPP (76.0%), Global-MMLU-Lite (69.1%). Released in 2025, it represents Google's latest advancement in AI technology.

Google

Gemini Diffusion

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

Gemini Diffusion

Max Context:-

Average performance across 19 common benchmarks

DeepSeek

DeepSeek-V3.2-Exp

+21.0%
Average Score:45.7%
Google

Gemini Diffusion

Average Score:24.7%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V3.2-Exp

math
+63.2%
86.5%
code
+3.8%
64.3%
general
+21.2%
62.1%
Google

Gemini Diffusion

math
23.3%
code
60.5%
general
40.8%

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

Gemini Diffusion

0 providers
DeepSeek

DeepSeek-V3.2-Exp

+21.0%
Avg Score:45.7%
Providers:2
Google

Gemini Diffusion

Avg Score:24.7%
Providers:0