Cracked AI Engineering

DeepSeek-R1-0528 vs Kimi-K2-Instruct-0905

Kimi-K2-Instruct-0905 offers 262K tokens context vs 164K tokens, Kimi-K2-Instruct-0905 is more cost-effective, DeepSeek-R1-0528 includes advanced reasoning. Compare full specs, pricing, and choose the best model for your use case.

Quick Overview

DeepSeek-R1-0528

Hugging Face

164K tokens context • $3.00 / $5.00 per 1M tokens

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Kimi-K2-Instruct-0905

Hugging Face

262K tokens context • $1.00 / $3.00 per 1M tokens

View full specifications →

Detailed Comparison

Specification
DeepSeek-R1-0528
Kimi-K2-Instruct-0905
Provider
Hugging Face
Hugging Face
Context Window
164K tokens
262K tokens
Max Output Tokens
164K tokens
16K tokens
Input Pricing (per 1M tokens)
$3.00
$1.00
Output Pricing (per 1M tokens)
$5.00
$3.00
Release Date
May 2025
Sep 2025

Capabilities

Capability
DeepSeek-R1-0528
Kimi-K2-Instruct-0905
Text Generation
Function Calling
Advanced Reasoning

Which Model Should You Choose?

Choose DeepSeek-R1-0528 if:

  • • You need advanced reasoning

Choose Kimi-K2-Instruct-0905 if:

  • • You need a larger context window
  • • Cost efficiency is a priority