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Kimi K2 Thinking vs GLM 4.7

Compare Kimi K2 Thinking from moonshotai and GLM 4.7 from Z.ai on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the OpenRouter API.

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Kimi K2 Thinking vs GLM 4.7: side-by-side summary

Kimi K2 Thinking and GLM 4.7 are available through the OpenRouter API, so switching between them takes a model slug change rather than a new integration.

Kimi K2 Thinking, from moonshotai, has a 262,144-token context window and is priced at $0.60/M tokens input, $2.50/M tokens output on OpenRouter.

GLM 4.7, from Z.ai, has a 204,800-token context window and is priced at $0.40/M tokens input, $1.75/M tokens output on OpenRouter.

Context window
  • Kimi K2 Thinking: 262,144 tokens
  • GLM 4.7: 204,800 tokens
Price
  • Kimi K2 Thinking: $0.60/M tokens input, $2.50/M tokens output
  • GLM 4.7: $0.40/M tokens input, $1.75/M tokens output
Provided by
  • Kimi K2 Thinking: moonshotai
  • GLM 4.7: Z.ai
Favicon for moonshotai
Kimi K2 Thinking
Favicon for z-ai
GLM 4.7
Favicon for moonshotai
Kimi K2 Thinking
Favicon for z-ai
GLM 4.7

Overview

Kimi K2 Thinking
Author
moonshotai
GLM 4.7
Author
Z.ai
Kimi K2 Thinking
Context length
262Ktokens
GLM 4.7
Context length
205Ktokens
Kimi K2 Thinking
Reasoning
GLM 4.7
Reasoning
Kimi K2 Thinking
Input modalities
GLM 4.7
Input modalities
Kimi K2 Thinking
Output modalities
GLM 4.7
Output modalities
model details, providers and pricing
model details, providers and pricing
Kimi K2 Thinking
GLM 4.7