Cracked AI Engineering

GLM 4.6 vs Kimi K2 Instruct 0905

Kimi K2 Instruct 0905 offers 262K tokens context vs 205K tokens, GLM 4.6 includes advanced reasoning, GLM 4.6 has open weights. Compare full specs, pricing, and choose the best model for your use case.

Quick Overview

GLM 4.6

Chutes

205K tokens context • $0.40 / $1.75 per 1M tokens

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Kimi K2 Instruct 0905

Chutes

262K tokens context • $0.30 / $1.19 per 1M tokens

View full specifications →

Detailed Comparison

Specification
GLM 4.6
Kimi K2 Instruct 0905
Provider
Chutes
Chutes
Context Window
205K tokens
262K tokens
Max Output Tokens
131K tokens
262K tokens
Input Pricing (per 1M tokens)
$0.40
$0.30
Output Pricing (per 1M tokens)
$1.75
$1.19
Release Date
Oct 2025
Sep 2024

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:

  • • You need advanced reasoning
  • • You prefer open weights

Choose Kimi K2 Instruct 0905 if:

  • • You need a larger context window
  • • Cost efficiency is a priority