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

DeepSeek-R1
DeepSeek
DeepSeek-R1 is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.1% across 20 benchmarks. It excels particularly in MATH-500 (97.3%), MMLU-Redux (92.9%), CLUEWSC (92.8%). It supports a 262K token context window for handling large documents. The model is available through 4 API providers. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

Gemma 3 4B
Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. 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-R1
DeepSeek
2025-01-20

Gemma 3 4B
2025-03-12
1 month newer
Pricing Comparison
Cost per million tokens (USD)

DeepSeek-R1

Gemma 3 4B
Performance Metrics
Context window and performance specifications

DeepSeek-R1

Gemma 3 4B
Average performance across 5 common benchmarks

DeepSeek-R1

Gemma 3 4B
Performance comparison across key benchmark categories

DeepSeek-R1

Gemma 3 4B
Gemma 3 4B
2024-08-01
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-R1
Together
DeepInfra
Fireworks
DeepSeek

Gemma 3 4B
DeepInfra

DeepSeek-R1

Gemma 3 4B