GPT-3.5 Turbo vs Llama 4 Scout
Performance benchmarks + pricing comparison — updated April 2026
GPT-3.5 Turbo
OpenAIBudget model for simple tasks. Being phased out but still widely used.
| Input | $0.500/M |
| Output | $1.50/M |
| Context | 16K tokens |
| Best For | Simple chatbots, basic text generation |
| Benchmark | 40/100 |
Llama 4 Scout
MetaMeta's Llama 4 mid-tier multimodal model. Native multimodal with efficient inference.
| Input | $0.200/M |
| Output | $0.800/M |
| Context | 10M tokens |
| Best For | Multimodal 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.
| Scenario | GPT-3.5 Turbo | Llama 4 Scout | Savings |
|---|---|---|---|
| Small Script (1K lines) | $0.06 | $0.03 | Llama 4 Scout saves $0.03 (50%) |
| Medium Feature (10K lines) | $0.48 | $0.23 | Llama 4 Scout saves $0.24 (52%) |
| Large Project (50K lines) | $2.38 | $1.15 | Llama 4 Scout saves $1.22 (52%) |
| Code Review (5K lines) | $0.13 | $0.06 | Llama 4 Scout saves $0.07 (56%) |
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.
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