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 Pro Preview 06-05
Gemini 2.5 Pro Preview 06-05 is a multimodal language model developed by Google. It achieves strong performance with an average score of 68.8% across 13 benchmarks. It excels particularly in Global-MMLU-Lite (89.2%), AIME 2025 (88.0%), FACTS Grounding (87.8%). 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.

DeepSeek-V3
DeepSeek
2024-12-25

Gemini 2.5 Pro Preview 06-05
2025-06-05
5 months newer
Pricing Comparison
Cost per million tokens (USD)

DeepSeek-V3

Gemini 2.5 Pro Preview 06-05
Performance Metrics
Context window and performance specifications

DeepSeek-V3

Gemini 2.5 Pro Preview 06-05
Average performance across 5 common benchmarks

DeepSeek-V3

Gemini 2.5 Pro Preview 06-05
Performance comparison across key benchmark categories

DeepSeek-V3

Gemini 2.5 Pro Preview 06-05
Gemini 2.5 Pro Preview 06-05
2025-01-31
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-V3
DeepSeek

Gemini 2.5 Pro Preview 06-05

DeepSeek-V3

Gemini 2.5 Pro Preview 06-05