Cracked AI Engineering

Llama-4-Scout-17B-16E-Instruct vs Qwen2.5-Coder-32B-Instruct

Llama-4-Scout-17B-16E-Instruct offers 328K tokens context vs 33K tokens, Llama-4-Scout-17B-16E-Instruct is more cost-effective, Llama-4-Scout-17B-16E-Instruct supports vision. Compare full specs, pricing, and choose the best model for your use case.

Quick Overview

Llama-4-Scout-17B-16E-Instruct

Synthetic

328K tokens context • $0.15 / $0.60 per 1M tokens

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Qwen2.5-Coder-32B-Instruct

Synthetic

33K tokens context • $0.80 / $0.80 per 1M tokens

View full specifications →

Detailed Comparison

Specification
Llama-4-Scout-17B-16E-Instruct
Qwen2.5-Coder-32B-Instruct
Provider
Synthetic
Synthetic
Context Window
328K tokens
33K tokens
Max Output Tokens
4K tokens
33K tokens
Input Pricing (per 1M tokens)
$0.15
$0.80
Output Pricing (per 1M tokens)
$0.60
$0.80
Release Date
Apr 2025
Nov 2024

Capabilities

Capability
Llama-4-Scout-17B-16E-Instruct
Qwen2.5-Coder-32B-Instruct
Text Generation
Vision
Function Calling
File Attachments

Which Model Should You Choose?

Choose Llama-4-Scout-17B-16E-Instruct if:

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

Choose Qwen2.5-Coder-32B-Instruct if: