Cracked AI Engineering

GLM 4.6 FP8 vs Kimi K2 Thinking Turbo

Kimi K2 Thinking Turbo offers 262K tokens context vs 205K tokens, GLM 4.6 FP8 is more cost-effective. Compare full specs, pricing, and choose the best model for your use case.

Quick Overview

GLM 4.6 FP8

Chutes

205K tokens context • $0.39 / $1.55 per 1M tokens

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Kimi K2 Thinking Turbo

Moonshot AI (China)

262K tokens context • $1.15 / $8.00 per 1M tokens

View full specifications →

Detailed Comparison

Specification
GLM 4.6 FP8
Kimi K2 Thinking Turbo
Provider
Chutes
Moonshot AI (China)
Context Window
205K tokens
262K tokens
Max Output Tokens
131K tokens
262K tokens
Input Pricing (per 1M tokens)
$0.39
$1.15
Output Pricing (per 1M tokens)
$1.55
$8.00
Release Date
Sep 2025
Nov 2025

Capabilities

Capability
GLM 4.6 FP8
Kimi K2 Thinking Turbo
Text Generation
Function Calling
Advanced Reasoning

Which Model Should You Choose?

Choose GLM 4.6 FP8 if:

  • • Cost efficiency is a priority

Choose Kimi K2 Thinking Turbo if:

  • • You need a larger context window