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 2.5 Flash-Lite
Gemini 2.5 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in FACTS Grounding (84.1%), Global-MMLU-Lite (81.1%), MMMU (72.9%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

Gemini 2.5 Flash-Lite
2025-06-17

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

DeepSeek-V3.2-Exp

Gemini 2.5 Flash-Lite
Performance Metrics
Context window and performance specifications

DeepSeek-V3.2-Exp

Gemini 2.5 Flash-Lite
Average performance across 19 common benchmarks

DeepSeek-V3.2-Exp

Gemini 2.5 Flash-Lite
Performance comparison across key benchmark categories

DeepSeek-V3.2-Exp

Gemini 2.5 Flash-Lite
Gemini 2.5 Flash-Lite
2025-01-01
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-V3.2-Exp
Novita
ZeroEval

Gemini 2.5 Flash-Lite

DeepSeek-V3.2-Exp

Gemini 2.5 Flash-Lite