Comprehensive side-by-side LLM comparison
DeepSeek-R1-0528 leads with 11.9% higher average benchmark score. Gemini 2.5 Flash offers 852.0K more tokens in context window than DeepSeek-R1-0528. Both models have similar pricing. Gemini 2.5 Flash supports multimodal inputs. Overall, DeepSeek-R1-0528 is the stronger choice for coding tasks.
DeepSeek
DeepSeek-R1-0528 represents a specific release iteration of the DeepSeek-R1 model, developed to incorporate refinements and improvements from ongoing training. Built to provide enhanced reasoning capabilities based on accumulated insights, it continues the evolution of DeepSeek's reasoning-focused architecture.
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.
8 days newer

Gemini 2.5 Flash
2025-05-20

DeepSeek-R1-0528
DeepSeek
2025-05-28
Cost per million tokens (USD)

DeepSeek-R1-0528

Gemini 2.5 Flash
Context window and performance specifications
Average performance across 7 common benchmarks

DeepSeek-R1-0528

Gemini 2.5 Flash
Performance comparison across key benchmark categories

DeepSeek-R1-0528

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

DeepSeek-R1-0528
DeepInfra
DeepSeek
Novita

DeepSeek-R1-0528

Gemini 2.5 Flash

DeepSeek-R1-0528

Gemini 2.5 Flash

Gemini 2.5 Flash
ZeroEval