Kimi K3 (Max) leads DeepSeek-V4-Pro (Max) by 67 Arena points, but DeepSeek is roughly 6.9x cheaper on input and 17.2x cheaper on output.
Kimi $3 / $15 per MTok vs DeepSeek's $0.435/$0.87
For a simple 1M-input + 1M-output workload, that is $18 on Kimi versus $1.305 on DeepSeek, about 13.8x cheaper.
The 67-point difference is also an early AutoEval gap, not a linear percentage difference in coding quality, so Kimi earns that enormous premium only if it produces materially fewer failed edits, retries, or human reviews in your own environment.
Big news: DeepSeek-V4-Pro (Max) by @deepseek_ai is coming in around ~#8 overall (#2 among open models) in the Code Arena: WebDev! At 1607 pts, this places it af...