Cracked AI Engineering

DeepSeek R1 Distill Qwen 32B vs Kimi K2 Instruct

DeepSeek R1 Distill Qwen 32B offers 122K tokens context vs 59K tokens, DeepSeek R1 Distill Qwen 32B includes advanced reasoning. Compare full specs, pricing, and choose the best model for your use case.

Quick Overview

DeepSeek R1 Distill Qwen 32B

Vultr

122K tokens context • $0.20 / $0.20 per 1M tokens

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Kimi K2 Instruct

Vultr

59K tokens context • $0.20 / $0.20 per 1M tokens

View full specifications →

Detailed Comparison

Specification
DeepSeek R1 Distill Qwen 32B
Kimi K2 Instruct
Provider
Vultr
Vultr
Context Window
122K tokens
59K tokens
Max Output Tokens
8K tokens
4K tokens
Input Pricing (per 1M tokens)
$0.20
$0.20
Output Pricing (per 1M tokens)
$0.20
$0.20
Release Date
Jan 2025
Jul 2024

Capabilities

Capability
DeepSeek R1 Distill Qwen 32B
Kimi K2 Instruct
Text Generation
Function Calling
Advanced Reasoning

Which Model Should You Choose?

Choose DeepSeek R1 Distill Qwen 32B if:

  • • You need a larger context window
  • • You need advanced reasoning

Choose Kimi K2 Instruct if: