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

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.

Gemini 1.0 Pro
Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.

Gemini 1.0 Pro
2024-02-15

DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
1 year newer
Pricing Comparison
Cost per million tokens (USD)

DeepSeek-V3.2-Exp

Gemini 1.0 Pro
Performance Metrics
Context window and performance specifications

DeepSeek-V3.2-Exp

Gemini 1.0 Pro
Average performance across 22 common benchmarks

DeepSeek-V3.2-Exp

Gemini 1.0 Pro
Performance comparison across key benchmark categories

DeepSeek-V3.2-Exp

Gemini 1.0 Pro
Gemini 1.0 Pro
2024-02-01
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-V3.2-Exp
Novita
ZeroEval

Gemini 1.0 Pro

DeepSeek-V3.2-Exp

Gemini 1.0 Pro