Cracked AI Engineering

GLM-4.6 vs Kimi-K2-Instruct-0905

Kimi-K2-Instruct-0905 offers 262K tokens context vs 200K tokens, GLM-4.6 includes advanced reasoning. Compare full specs, pricing, and choose the best model for your use case.

Quick Overview

GLM-4.6

Hugging Face

200K tokens context • $0.60 / $2.20 per 1M tokens

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Kimi-K2-Instruct-0905

Hugging Face

262K tokens context • $1.00 / $3.00 per 1M tokens

View full specifications →

Detailed Comparison

Specification
GLM-4.6
Kimi-K2-Instruct-0905
Provider
Hugging Face
Hugging Face
Context Window
200K tokens
262K tokens
Max Output Tokens
128K tokens
16K tokens
Input Pricing (per 1M tokens)
$0.60
$1.00
Output Pricing (per 1M tokens)
$2.20
$3.00
Release Date
Sep 2025
Sep 2025

Capabilities

Capability
GLM-4.6
Kimi-K2-Instruct-0905
Text Generation
Function Calling
Advanced Reasoning

Which Model Should You Choose?

Choose GLM-4.6 if:

  • • Cost efficiency is a priority
  • • You need advanced reasoning

Choose Kimi-K2-Instruct-0905 if:

  • • You need a larger context window