GLM 4.6 FP8 vs Kimi K2 Instruct
GLM 4.6 FP8 offers 205K tokens context vs 75K tokens, GLM 4.6 FP8 includes advanced reasoning, GLM 4.6 FP8 has open weights. Compare full specs, pricing, and choose the best model for your use case.
Quick Overview
Detailed Comparison
Specification
GLM 4.6 FP8
Kimi K2 Instruct
Provider
Chutes
Chutes
Context Window
205K tokens
75K tokens
Max Output Tokens
131K tokens
75K tokens
Input Pricing (per 1M tokens)
$0.39
$0.15
Output Pricing (per 1M tokens)
$1.55
$0.59
Release Date
Sep 2025
Aug 2025
Capabilities
Capability
GLM 4.6 FP8
Kimi K2 Instruct
Text Generation
Function Calling
Advanced Reasoning
Which Model Should You Choose?
Choose GLM 4.6 FP8 if:
- • You need a larger context window
- • You need advanced reasoning
- • You prefer open weights
Choose Kimi K2 Instruct if:
- • Cost efficiency is a priority