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

DeepSeek-V3
DeepSeek
DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents DeepSeek's latest advancement in AI technology.

Gemini 2.5 Flash
Gemini 2.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 14 benchmarks. It excels particularly in Global-MMLU-Lite (88.4%), AIME 2024 (88.0%), FACTS Grounding (85.3%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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.

DeepSeek-V3
DeepSeek
2024-12-25

Gemini 2.5 Flash
2025-05-20
4 months newer
Pricing Comparison
Cost per million tokens (USD)

DeepSeek-V3

Gemini 2.5 Flash
Performance Metrics
Context window and performance specifications

DeepSeek-V3

Gemini 2.5 Flash
Average performance across 6 common benchmarks

DeepSeek-V3

Gemini 2.5 Flash
Performance comparison across key benchmark categories

DeepSeek-V3

Gemini 2.5 Flash
Gemini 2.5 Flash
2025-01-31
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-V3
DeepSeek

Gemini 2.5 Flash
ZeroEval

DeepSeek-V3

Gemini 2.5 Flash