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

DeepSeek-V2.5
DeepSeek
DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. Released in 2024, it represents DeepSeek's latest advancement in AI technology.

Gemma 3n E4B Instructed
Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). 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-V2.5
DeepSeek
2024-05-08

Gemma 3n E4B Instructed
2025-06-26
1 year newer
Pricing Comparison
Cost per million tokens (USD)

DeepSeek-V2.5

Gemma 3n E4B Instructed
Performance Metrics
Context window and performance specifications

DeepSeek-V2.5

Gemma 3n E4B Instructed
Average performance across 2 common benchmarks

DeepSeek-V2.5

Gemma 3n E4B Instructed
Performance comparison across key benchmark categories

DeepSeek-V2.5

Gemma 3n E4B Instructed
Gemma 3n E4B Instructed
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-V2.5
Hyperbolic
DeepInfra
DeepSeek

Gemma 3n E4B Instructed
Together

DeepSeek-V2.5

Gemma 3n E4B Instructed