Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 5.0% higher average benchmark score. Gemini 2.0 Flash-Lite offers 794.6K more tokens in context window than DeepSeek-V3. Gemini 2.0 Flash-Lite is $1.00 cheaper per million tokens. Gemini 2.0 Flash-Lite supports multimodal inputs. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
Gemini 2.0 Flash Lite was created as an even more efficient variant of Gemini 2.0 Flash, designed for applications where minimal latency and maximum cost-effectiveness are essential. Built to bring next-generation multimodal capabilities to resource-constrained deployments, it optimizes for speed and affordability.
1 month newer

DeepSeek-V3
DeepSeek
2024-12-25

Gemini 2.0 Flash-Lite
2025-02-05
Cost per million tokens (USD)

DeepSeek-V3

Gemini 2.0 Flash-Lite
Context window and performance specifications
Average performance across 3 common benchmarks

DeepSeek-V3

Gemini 2.0 Flash-Lite
Gemini 2.0 Flash-Lite
2024-06-01
Available providers and their performance metrics

DeepSeek-V3
DeepSeek

Gemini 2.0 Flash-Lite

DeepSeek-V3

Gemini 2.0 Flash-Lite

DeepSeek-V3

Gemini 2.0 Flash-Lite