media MarkTechPost · 8h ago · releases

Kimi K3, DeepSeek V4 Pro, and GLM-5.2 compared on benchmarks, license, and serving cost

from English

A comparison of three open-weight sparse Mixture-of-Experts models—Moonshot AI's Kimi K3, DeepSeek V4 Pro, and Zhipu AI's GLM-5.2—evaluates their capabilities, licensing terms, and serving costs for long-horizon coding and agent workloads.

Kimi K3 (2.8T parameters) leads the Artificial Analysis Intelligence Index with a score of ~57 but remains API-only until July 27, 2026.
DeepSeek V4 Pro (1.6T parameters) is MIT-licensed and the cost leader at approximately $0.04 per task.
GLM-5.2 (744B parameters) is also MIT-licensed, self-hostable, and fastest at ~168 tokens/sec.
All three models support 1M-token context windows, though only DeepSeek and GLM have downloadable weights available now.

DeepSeek V4 Pro offers the best value for coding tasks with low costs and immediate availability, while Kimi K3 provides peak capability at a premium price. GLM-5.2 serves as a balanced option between cost, speed, and self-hosting requirements.

Importance 2/3 MarkTechPost Moonshot AI DeepSeek Zhipu AI Benchmark results Open weights

Benchmarks

Benchmark	Model	Score
SWE-bench Verified	DeepSeek V4 Pro	80.6%

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