DeepSeek R1 0528 vs Gemini 2.0 Flash Thinking
Compare DeepSeek R1 0528 by DeepSeek against Gemini 2.0 Flash Thinking by Google AI, context windows of 164K vs 500K, tested across 20 shared challenges. Updated April 2026.
Which is better, DeepSeek R1 0528 or Gemini 2.0 Flash Thinking?
DeepSeek R1 0528 and Gemini 2.0 Flash Thinking are both competitive models. DeepSeek R1 0528 costs $0/M input tokens vs $0.25/M for Gemini 2.0 Flash Thinking. Context windows: 164K vs 500K tokens. Compare their real outputs side by side below.
Key Differences Between DeepSeek R1 0528 and Gemini 2.0 Flash Thinking
DeepSeek R1 0528 is made by deepseek while Gemini 2.0 Flash Thinking is from google. DeepSeek R1 0528 has a 164K token context window compared to Gemini 2.0 Flash Thinking's 500K. On pricing, DeepSeek R1 0528 costs $0/M input tokens vs $0.25/M for Gemini 2.0 Flash Thinking.
No community votes yet. On paper, DeepSeek R1 0528 has the edge — bigger model tier, newer.
Style Comparison
Gemini 2.0 Flash Thinking uses 30.0x more transitions
vsAsk them anything yourself
Some models write identically. You are paying for the brand.
178 models fingerprinted across 32 writing dimensions. Free research.
185x
price gap between models that write identically
178
models
12
clone pairs
32
dimensions
279 AI models invented the same fake scientist.
We read every word. 250 models. 2.14 million words. This is what we found.
