DeepSeek R1 vs Kimi K2 Thinking

Compare DeepSeek R1 by DeepSeek against Kimi K2 Thinking by Moonshot AI, context windows of 128K vs 262K, tested across 29 shared challenges. Updated March 2026.

Which is better, DeepSeek R1 or Kimi K2 Thinking?

DeepSeek R1 and Kimi K2 Thinking are both competitive models. DeepSeek R1 costs $0.55/M input tokens vs $0.6/M for Kimi K2 Thinking. Context windows: 128K vs 262K tokens. Compare their real outputs side by side below.

Key Differences Between DeepSeek R1 and Kimi K2 Thinking

DeepSeek R1 is made by deepseek while Kimi K2 Thinking is from moonshotai. DeepSeek R1 has a 128K token context window compared to Kimi K2 Thinking's 262K. On pricing, DeepSeek R1 costs $0.55/M input tokens vs $0.6/M for Kimi K2 Thinking.

Our Verdict
Kimi K2 Thinking
Kimi K2 Thinking
DeepSeek R1
DeepSeek R1Runner-up

No community votes yet. On paper, Kimi K2 Thinking has the edge — bigger model tier, newer, bigger context window.

Too close to call
vs

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