OpenAI o1-mini vs Llama 4 Maverick
Performance benchmarks + pricing comparison — updated April 2026
OpenAI o1-mini
OpenAICost-effective reasoning model. Good for coding tasks that require logical reasoning.
| Input | $1.10/M |
| Output | $4.40/M |
| Context | 128K tokens |
| Best For | Coding logic, debugging, algorithm design |
| Benchmark | 70/100 |
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 | OpenAI o1-mini | Llama 4 Maverick | Savings |
|---|---|---|---|
| Small Script (1K lines) | $0.17 | $0.06 | Llama 4 Maverick saves $0.11 (64%) |
| Medium Feature (10K lines) | $1.27 | $0.46 | Llama 4 Maverick saves $0.81 (64%) |
| Large Project (50K lines) | $6.33 | $2.30 | Llama 4 Maverick saves $4.03 (64%) |
| Code Review (5K lines) | $0.30 | $0.11 | Llama 4 Maverick saves $0.19 (64%) |
Verdict
Llama 4 Maverick wins on both price and performance — $0.400/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
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