Cracked AI Engineering

DeepSeek V3.1 vs Kimi K2 Instruct

DeepSeek V3.1 offers 164K tokens context vs 75K tokens. Compare full specs, pricing, and choose the best model for your use case.

Quick Overview

DeepSeek V3.1

Chutes

164K tokens context • $0.20 / $0.80 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 V3.1
Kimi K2 Instruct
Provider
Chutes
Chutes
Context Window
164K tokens
75K tokens
Max Output Tokens
164K tokens
75K tokens
Input Pricing (per 1M tokens)
$0.20
$0.15
Output Pricing (per 1M tokens)
$0.80
$0.59
Release Date
Aug 2025
Aug 2025

Capabilities

Capability
DeepSeek V3.1
Kimi K2 Instruct
Text Generation
Function Calling

Which Model Should You Choose?

Choose DeepSeek V3.1 if:

  • • You need a larger context window

Choose Kimi K2 Instruct if:

  • • Cost efficiency is a priority