GPT-4o mini vs Databricks DBRX Instruct
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 |
Databricks DBRX Instruct
DatabricksDatabricks' open MoE model. Competitive with GPT-3.5 for coding and general tasks.
| Input | $0.750/M |
| Output | $2.25/M |
| Context | 32K tokens |
| Best For | Custom fine-tuning, coding assistance, enterprise NLP |
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 | Databricks DBRX Instruct | Savings |
|---|---|---|---|
| Small Script (1K lines) | $0.02 | $0.09 | GPT-4o mini saves $0.07 (74%) |
| Medium Feature (10K lines) | $0.18 | $0.71 | GPT-4o mini saves $0.53 (74%) |
| Large Project (50K lines) | $0.92 | $3.56 | GPT-4o mini saves $2.64 (74%) |
| Code Review (5K lines) | $0.05 | $0.19 | GPT-4o mini saves $0.14 (75%) |
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.
Compare with Other Models
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