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 1.5 Pro
Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M 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 2024, it represents Google's latest advancement in AI technology.

Gemini 1.5 Pro
2024-05-01

DeepSeek-V3
DeepSeek
2024-12-25
7 months newer
Pricing Comparison
Cost per million tokens (USD)

DeepSeek-V3

Gemini 1.5 Pro
Performance Metrics
Context window and performance specifications

DeepSeek-V3

Gemini 1.5 Pro
Average performance across 4 common benchmarks

DeepSeek-V3

Gemini 1.5 Pro
Performance comparison across key benchmark categories

DeepSeek-V3

Gemini 1.5 Pro
Gemini 1.5 Pro
2023-11-01
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-V3
DeepSeek

Gemini 1.5 Pro

DeepSeek-V3

Gemini 1.5 Pro