GPT-4 Turbo vs Llama 4 Scout

Performance benchmarks + pricing comparison — updated April 2026

GPT-4 Turbo

OpenAI

Previous generation high-performance model. Good for complex reasoning tasks.

Input$10.00/M
Output$30.00/M
Context128K tokens
Best ForComplex reasoning, data extraction, analysis
Benchmark70/100

Llama 4 Scout

Meta

Meta's Llama 4 mid-tier multimodal model. Native multimodal with efficient inference.

Input$0.200/M
Output$0.800/M
Context10M tokens
Best ForMultimodal applications, image + text tasks

Cost Comparison by Scenario

Estimated cost per project with 30% cache hit rate. Actual costs may vary based on usage patterns.

ScenarioGPT-4 TurboLlama 4 ScoutSavings
Small Script (1K lines) $1.25 $0.03 Llama 4 Scout saves $1.22 (98%)
Medium Feature (10K lines) $9.50 $0.23 Llama 4 Scout saves $9.27 (98%)
Large Project (50K lines) $47.50 $1.15 Llama 4 Scout saves $46.35 (98%)
Code Review (5K lines) $2.50 $0.06 Llama 4 Scout saves $2.44 (98%)

Verdict

Llama 4 Scout wins on both price and performance — $0.200/M input with a benchmark score of N/A/100.

For most developers, this is the clear choice between these two models.

Compare with Other Models