Cracked AI Engineering

DeepSeek V3.2 Exp vs Kimi K2 Instruct

DeepSeek V3.2 Exp offers 128K tokens context vs 75K tokens, DeepSeek V3.2 Exp includes advanced reasoning, DeepSeek V3.2 Exp has open weights. Compare full specs, pricing, and choose the best model for your use case.

Quick Overview

DeepSeek V3.2 Exp

Chutes

128K tokens context • $0.25 / $0.35 per 1M tokens

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Kimi K2 Instruct

Chutes

75K tokens context • $0.15 / $0.59 per 1M tokens

View full specifications →

Detailed Comparison

Specification
DeepSeek V3.2 Exp
Kimi K2 Instruct
Provider
Chutes
Chutes
Context Window
128K tokens
75K tokens
Max Output Tokens
64K tokens
75K tokens
Input Pricing (per 1M tokens)
$0.25
$0.15
Output Pricing (per 1M tokens)
$0.35
$0.59
Release Date
Sep 2025
Aug 2025

Capabilities

Capability
DeepSeek V3.2 Exp
Kimi K2 Instruct
Text Generation
Function Calling
Advanced Reasoning

Which Model Should You Choose?

Choose DeepSeek V3.2 Exp 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