Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash-Lite leads with 14.8% higher average benchmark score. Gemini 2.5 Flash-Lite offers 1.1M more tokens in context window than DeepSeek-V2.5. Both models have similar pricing. Gemini 2.5 Flash-Lite supports multimodal inputs. DeepSeek-V2.5 is available on 3 providers. Overall, Gemini 2.5 Flash-Lite is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V2.5 was developed as an enhanced iteration of the DeepSeek-V2 architecture, designed to incorporate improvements in model quality and efficiency. Built to advance the DeepSeek foundation model series, it provides refined capabilities for general-purpose language understanding and generation tasks.
Gemini 2.5 Flash Lite was created as the most efficient option in the Gemini 2.5 family, designed to provide cutting-edge capabilities with minimal computational overhead. Built for applications where cost and latency are primary concerns, it extends advanced multimodal understanding to resource-conscious deployments.
1 year newer

DeepSeek-V2.5
DeepSeek
2024-05-08

Gemini 2.5 Flash-Lite
2025-06-17
Cost per million tokens (USD)

DeepSeek-V2.5

Gemini 2.5 Flash-Lite
Context window and performance specifications
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
Available providers and their performance metrics

DeepSeek-V2.5
DeepInfra
DeepSeek
Hyperbolic

DeepSeek-V2.5

Gemini 2.5 Flash-Lite

DeepSeek-V2.5

Gemini 2.5 Flash-Lite

Gemini 2.5 Flash-Lite