Databricks Llama 3.1 405B vs O3 Mini
Performance benchmarks + pricing comparison — updated April 2026
Databricks Llama 3.1 405B
DatabricksMeta's 405B model hosted on Databricks. Largest open-weight model available for enterprise use.
| Input | $5.00/M |
| Output | $15.00/M |
| Context | 128K tokens |
| Best For | Enterprise AI, complex reasoning, custom fine-tuning |
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 |
Cost Comparison by Scenario
Estimated cost per project with 30% cache hit rate. Actual costs may vary based on usage patterns.
| Scenario | Databricks Llama 3.1 405B | O3 Mini | Savings |
|---|---|---|---|
| Small Script (1K lines) | $0.63 | $0.17 | O3 Mini saves $0.45 (73%) |
| Medium Feature (10K lines) | $4.75 | $1.27 | O3 Mini saves $3.48 (73%) |
| Large Project (50K lines) | $23.75 | $6.33 | O3 Mini saves $17.42 (73%) |
| Code Review (5K lines) | $1.25 | $0.30 | O3 Mini saves $0.95 (76%) |
Verdict
O3 Mini wins on both price and performance — $1.10/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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