GPT-4o mini vs Llama 4 Scout
Performance benchmarks + pricing comparison — updated April 2026
GPT-4o mini
OpenAIAffordable small model. Fast and cost-effective for high-volume coding tasks.
| Input | $0.150/M |
| Output | $0.600/M |
| Context | 128K tokens |
| Best For | High-volume tasks, simple coding, cost-sensitive projects |
| Benchmark | 58/100 |
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-4o mini | Llama 4 Scout | Savings |
|---|---|---|---|
| Small Script (1K lines) | $0.02 | $0.03 | GPT-4o mini saves <$0.01 (21%) |
| Medium Feature (10K lines) | $0.18 | $0.23 | GPT-4o mini saves $0.05 (20%) |
| Large Project (50K lines) | $0.92 | $1.15 | GPT-4o mini saves $0.23 (20%) |
| Code Review (5K lines) | $0.05 | $0.06 | GPT-4o mini saves <$0.01 (15%) |
Verdict
GPT-4o mini wins on both price and performance — $0.150/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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