O3 Mini vs Llama 4 Scout
Performance benchmarks + pricing comparison — updated April 2026
O3 Mini
OpenAIOpenAI's reasoning model at lower cost. Strong at math, coding, and science tasks.
| Input | $1.10/M |
| Output | $4.40/M |
| Context | 200K tokens |
| Best For | Math, science, coding tasks requiring deep reasoning |
| Benchmark | 80/100 |
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 | O3 Mini | Llama 4 Scout | Savings |
|---|---|---|---|
| Small Script (1K lines) | $0.17 | $0.03 | Llama 4 Scout saves $0.14 (82%) |
| Medium Feature (10K lines) | $1.27 | $0.23 | Llama 4 Scout saves $1.04 (82%) |
| Large Project (50K lines) | $6.33 | $1.15 | Llama 4 Scout saves $5.18 (82%) |
| Code Review (5K lines) | $0.30 | $0.06 | Llama 4 Scout saves $0.25 (82%) |
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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