DeepSeek R1 0528 vs Kimi K2 Thinking
Compare DeepSeek R1 0528 by DeepSeek against Kimi K2 Thinking by Moonshot AI, context windows of 164K vs 262K, tested across 54 shared challenges. Updated April 2026.
Which is better, DeepSeek R1 0528 or Kimi K2 Thinking?
DeepSeek R1 0528 and Kimi K2 Thinking are both competitive models. DeepSeek R1 0528 costs $0/M input tokens vs $0.6/M for Kimi K2 Thinking. Context windows: 164K vs 262K tokens. Compare their real outputs side by side below.
Key Differences Between DeepSeek R1 0528 and Kimi K2 Thinking
DeepSeek R1 0528 is made by deepseek while Kimi K2 Thinking is from moonshotai. DeepSeek R1 0528 has a 164K token context window compared to Kimi K2 Thinking's 262K. On pricing, DeepSeek R1 0528 costs $0/M input tokens vs $0.6/M for Kimi K2 Thinking.
No community votes yet. On paper, these are closely matched - try both with your actual task to see which fits your workflow.
Style Comparison
Kimi K2 Thinking uses 5.7x 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.
