GLM-4-Air-250414 Compare Kimi K2

GLM-4-Air-250414
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Kimi K2

Comparing GLM-4-Air-250414 and Kimi K2, which one is better? We will compare GLM-4-Air-250414 and Kimi K2, including model features, token pricing, API costs, performance benchmarks, and actual capabilities to help you choose the LLM that suits your needs
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GLM-4-Air-250414
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Kimi K2
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GLM-4-Air-250414
A lightweight and cost-effective inference model launched by Zhipu AI, optimized based on the GLM-4 architecture and supporting a 128K long context window. The output style is standardized and concise, with an average generated length of 3,800 characters. The comprehensive cost is 30 times lower than that of similar models, making it suitable for high-frequency inference scenarios.
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Kimi K2
Kimi K2 is an open-source large language model with 1T parameters and an MoE architecture released by Moonshot AI. It specializes in code generation, mathematical reasoning, and Agent tool invocation capabilities, and supports a 128K context.

Basic ParametersCompare

PricingCompare

Input and output token cost comparison

Benchmark ScoresCompare

Performance metrics from various standardized tests and evaluations
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