DBRX vs GPT-4o mini
A complete head-to-head: pricing, context window, benchmarks, modality coverage, and openness, with a programmatic verdict synthesized from the underlying data.
Updated
DBRX specs · GPT-4o mini specs- PriceGPT-4o mini
GPT-4o mini publishes pricing ($0.60 / 1M output tokens) while DBRX does not.
- Context windowGPT-4o mini
GPT-4o mini accepts 128K tokens vs 32K, 4.0× the room for long documents and codebases.
- BenchmarksGPT-4o mini
GPT-4o mini leads in 1 of 1 shared benchmarks; the biggest gap is on MMLU (broad academic knowledge), where it scores 82.0 vs 73.7.
- ModalitiesGPT-4o mini
GPT-4o mini supports 2 modalities (text, vision) vs 1 for DBRX.
- OpennessDBRX
DBRX ships open weights (Databricks Open Model License); GPT-4o mini is API-only.
On balance GPT-4o mini edges ahead, winning 4 of 5 categories against DBRX's 1. GPT-4o mini publishes pricing ($0.60 / 1M output tokens) while DBRX does not. GPT-4o mini accepts 128K tokens vs 32K, 4.0× the room for long documents and codebases.
GPT-4o mini leads in 1 of 1 shared benchmarks; the biggest gap is on MMLU (broad academic knowledge), where it scores 82.0 vs 73.7. They differ in modality coverage, DBRX handles text while GPT-4o mini handles text, vision, which can be the deciding factor before you even look at benchmarks. DBRX ships open weights (Databricks Open Model License); GPT-4o mini is API-only.
GPT-4o mini is the newer of the two, released 4 months after DBRX, which usually means a more recent knowledge cutoff and updated safety post-training. DBRX is usually picked for enterprise llm and sql generation workloads, while GPT-4o mini sees more deployments in customer support and summarization. If pricing matters more than every last benchmark point, run the numbers in the calculator below before committing.
Side-by-side specs
| Spec | DBRX | GPT-4o mini |
|---|---|---|
| Provider | Other | OpenAI |
| Released | Mar 2024 | Jul 2024 |
| Modalities | text | text, vision |
| Context window | 32K tokens | 128K tokens |
| Max output | , | , |
| Input · 1M | Pricing not published | $0.15 / 1M tokens |
| Output · 1M | Pricing not published | $0.60 / 1M tokens |
| Knowledge cutoff | , | , |
| Open weights | Yes (Databricks Open Model License) | No |
| API available | Yes | Yes |
Pricing at scale
What you'd actually pay at typical workloads. Numbers come from each model's published per-million-token rates.
- Light usage, 100k in / 50k out per day, vs $1.35
- Heavy usage, 1M in / 500k out per day, vs $13.50
- RAG workload, 5M in / 200k out per day, vs $26.10
Light usage, 100k in / 50k out per day: pricing not directly comparable (one or both models are missing public per-token rates). Heavy usage, 1M in / 500k out per day: pricing not directly comparable (one or both models are missing public per-token rates). RAG workload, 5M in / 200k out per day: pricing not directly comparable (one or both models are missing public per-token rates).
Estimated spend for the listed models at your usage. Numbers are derived from each model's published per-million-token rates.
- DBRXPricing unavailable
- GPT-4o mini$0.045
Benchmarks compared
Only sourced numbers. Where a benchmark is missing for one model we show the available value rather than fabricating the other.
- MMLU73.782.0
DBRX fits when…
- Databricks-native
- Tuned for enterprise SQL/code
- Self-hosting and on-prem requirements, open weights (Databricks Open Model License).
GPT-4o mini fits when…
- Cheap
- Fast
- Mature
- Long-context tasks, handles 128K tokens vs 32K for DBRX.
- Multimodal needs covering vision.
Consider Yi-Lightning
01.AI's API-tier Chinese-leaning model, strong on Chinese benchmarks at competitive pricing.
Frequently asked
Is DBRX or GPT-4o mini cheaper?
Per-token pricing isn't published for at least one of these models, check each model's spec page for current rates.Which has the larger context window?
GPT-4o mini accepts 128K tokens vs 32K for DBRX.Is DBRX or GPT-4o mini better for coding?
Both DBRX and GPT-4o mini are competitive on coding benchmarks. See each model's individual spec page for HumanEval and SWE-bench scores where published. For an opinionated pick, consult our Best LLM for Coding ranking.Are either of these models open source?
DBRX ships open weights (Databricks Open Model License). GPT-4o mini is API-only.When were DBRX and GPT-4o mini released?
DBRX was released by Other on 2024-03-27. GPT-4o mini was released by OpenAI on 2024-07-18.
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