GPT-4o mini vs Llama 4 Maverick
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 Maverick
MetaMeta's Llama 4 flagship model. Strong multimodal and coding with MoE architecture.
| Input | $0.400/M |
| Output | $1.60/M |
| Context | 10M tokens |
| Best For | Complex multimodal tasks, coding, long-context analysis |
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 Maverick | Savings |
|---|---|---|---|
| Small Script (1K lines) | $0.02 | $0.06 | GPT-4o mini saves $0.04 (61%) |
| Medium Feature (10K lines) | $0.18 | $0.46 | GPT-4o mini saves $0.28 (60%) |
| Large Project (50K lines) | $0.92 | $2.30 | GPT-4o mini saves $1.38 (60%) |
| Code Review (5K lines) | $0.05 | $0.11 | GPT-4o mini saves $0.06 (57%) |
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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