DeepSeek V3.2 vs Kimi Linear 48B A3B Instruct
Compare DeepSeek V3.2 by DeepSeek against Kimi Linear 48B A3B Instruct by Moonshot AI, context windows of 131K vs 1.0M, tested across 35 shared challenges. Updated April 2026.
Which is better, DeepSeek V3.2 or Kimi Linear 48B A3B Instruct?
DeepSeek V3.2 and Kimi Linear 48B A3B Instruct are both competitive models. DeepSeek V3.2 costs $0.28/M input tokens vs $0.3/M for Kimi Linear 48B A3B Instruct. Context windows: 131K vs 1049K tokens. Compare their real outputs side by side below.
Key Differences Between DeepSeek V3.2 and Kimi Linear 48B A3B Instruct
DeepSeek V3.2 is made by deepseek while Kimi Linear 48B A3B Instruct is from moonshotai. DeepSeek V3.2 has a 131K token context window compared to Kimi Linear 48B A3B Instruct's 1049K. On pricing, DeepSeek V3.2 costs $0.28/M input tokens vs $0.3/M for Kimi Linear 48B A3B Instruct.
No community votes yet. On paper, Kimi Linear 48B A3B Instruct has the edge — bigger model tier, bigger context window.
Style Comparison
DeepSeek V3.2 uses 3.0x more hedging
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.
