Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash leads with 43.6% higher average benchmark score. Gemini 2.5 Flash offers 1.1M more tokens in context window than DeepSeek-V2.5. DeepSeek-V2.5 is $2.38 cheaper per million tokens. Gemini 2.5 Flash supports multimodal inputs. Overall, Gemini 2.5 Flash 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 represents a continued evolution of Google's efficient multimodal models, designed to deliver enhanced capabilities while maintaining the performance characteristics valued in the Flash series. Built to serve high-throughput applications with improved quality, it advances the balance between speed and intelligence.
1 year newer

DeepSeek-V2.5
DeepSeek
2024-05-08

Gemini 2.5 Flash
2025-05-20
Cost per million tokens (USD)

DeepSeek-V2.5

Gemini 2.5 Flash
Context window and performance specifications
Average performance across 1 common benchmarks

DeepSeek-V2.5

Gemini 2.5 Flash
Performance comparison across key benchmark categories

DeepSeek-V2.5

Gemini 2.5 Flash
Gemini 2.5 Flash
2025-01-31
Available providers and their performance metrics

DeepSeek-V2.5
DeepInfra
DeepSeek
Hyperbolic

DeepSeek-V2.5

Gemini 2.5 Flash

DeepSeek-V2.5

Gemini 2.5 Flash

Gemini 2.5 Flash
ZeroEval