Cracked AI Engineering

Llama 4 Scout 17B 16E Instruct vs Kimi-K2-Instruct

Kimi-K2-Instruct offers 128K tokens context vs 64K tokens, Llama 4 Scout 17B 16E Instruct is more cost-effective, Llama 4 Scout 17B 16E Instruct includes advanced reasoning. Compare full specs, pricing, and choose the best model for your use case.

Quick Overview

Llama 4 Scout 17B 16E Instruct

Weights & Biases

64K tokens context • $0.17 / $0.66 per 1M tokens

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Kimi-K2-Instruct

Weights & Biases

128K tokens context • $1.35 / $4.00 per 1M tokens

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Detailed Comparison

Specification
Llama 4 Scout 17B 16E Instruct
Kimi-K2-Instruct
Provider
Weights & Biases
Weights & Biases
Context Window
64K tokens
128K tokens
Max Output Tokens
8K tokens
16K tokens
Input Pricing (per 1M tokens)
$0.17
$1.35
Output Pricing (per 1M tokens)
$0.66
$4.00
Release Date
Jan 2025
Jul 2025

Capabilities

Capability
Llama 4 Scout 17B 16E Instruct
Kimi-K2-Instruct
Text Generation
Vision
Function Calling
Advanced Reasoning

Which Model Should You Choose?

Choose Llama 4 Scout 17B 16E Instruct if:

  • • Cost efficiency is a priority
  • • You need advanced reasoning

Choose Kimi-K2-Instruct if:

  • • You need a larger context window