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.

Gemini 2.5 Flash-Lite
Gemini 2.5 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in FACTS Grounding (84.1%), Global-MMLU-Lite (81.1%), MMMU (72.9%). 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-V2.5
DeepSeek
2024-05-08

Gemini 2.5 Flash-Lite
2025-06-17
1 year newer
Pricing Comparison
Cost per million tokens (USD)

DeepSeek-V2.5

Gemini 2.5 Flash-Lite
Performance Metrics
Context window and performance specifications

DeepSeek-V2.5

Gemini 2.5 Flash-Lite
Average performance across 1 common benchmarks

DeepSeek-V2.5

Gemini 2.5 Flash-Lite
Performance comparison across key benchmark categories

DeepSeek-V2.5

Gemini 2.5 Flash-Lite
Gemini 2.5 Flash-Lite
2025-01-01
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-V2.5
Hyperbolic
DeepInfra
DeepSeek

Gemini 2.5 Flash-Lite

DeepSeek-V2.5

Gemini 2.5 Flash-Lite