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.

Gemma 3 27B
Gemma 3 27B is a multimodal language model developed by Google. It achieves strong performance with an average score of 65.4% across 26 benchmarks. It excels particularly in GSM8k (95.9%), IFEval (90.4%), MATH (89.0%). The model shows particular specialization in math tasks with an average performance of 78.2%. It supports a 262K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.

DeepSeek-V3
DeepSeek
2024-12-25

Gemma 3 27B
2025-03-12
2 months newer
Pricing Comparison
Cost per million tokens (USD)

DeepSeek-V3

Gemma 3 27B
Performance Metrics
Context window and performance specifications

DeepSeek-V3

Gemma 3 27B
Average performance across 5 common benchmarks

DeepSeek-V3

Gemma 3 27B
Performance comparison across key benchmark categories

DeepSeek-V3

Gemma 3 27B
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-V3
DeepSeek

Gemma 3 27B
DeepInfra
Novita

DeepSeek-V3

Gemma 3 27B