Cracked AI Engineering

DeepSeek V3.1 Terminus vs Kimi K2 Instruct

DeepSeek V3.1 Terminus offers 131K tokens context vs 75K tokens, DeepSeek V3.1 Terminus includes advanced reasoning, DeepSeek V3.1 Terminus has open weights. Compare full specs, pricing, and choose the best model for your use case.

Quick Overview

DeepSeek V3.1 Terminus

Chutes

131K tokens context • $0.25 / $1.00 per 1M tokens

View full specifications →

Kimi K2 Instruct

Chutes

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

View full specifications →

Detailed Comparison

Specification
DeepSeek V3.1 Terminus
Kimi K2 Instruct
Provider
Chutes
Chutes
Context Window
131K tokens
75K tokens
Max Output Tokens
66K tokens
75K tokens
Input Pricing (per 1M tokens)
$0.25
$0.15
Output Pricing (per 1M tokens)
$1.00
$0.59
Release Date
Sep 2025
Aug 2025

Capabilities

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

Which Model Should You Choose?

Choose DeepSeek V3.1 Terminus 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