LLM·Dex

DBRX vs GPT-4.1

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-4.1 specs
Verdict by category
  • PriceGPT-4.1

    GPT-4.1 publishes pricing ($8.00 / 1M output tokens) while DBRX does not.

  • Context windowGPT-4.1

    GPT-4.1 accepts 1M tokens vs 32K, 31.3× the room for long documents and codebases.

  • BenchmarksGPT-4.1

    GPT-4.1 leads in 1 of 1 shared benchmarks; the biggest gap is on MMLU (broad academic knowledge), where it scores 86.2 vs 73.7.

  • ModalitiesGPT-4.1

    GPT-4.1 supports 2 modalities (text, vision) vs 1 for DBRX.

  • OpennessDBRX

    DBRX ships open weights (Databricks Open Model License); GPT-4.1 is API-only.

On balance GPT-4.1 edges ahead, winning 4 of 5 categories against DBRX's 1. GPT-4.1 publishes pricing ($8.00 / 1M output tokens) while DBRX does not. GPT-4.1 accepts 1M tokens vs 32K, 31.3× the room for long documents and codebases.

GPT-4.1 leads in 1 of 1 shared benchmarks; the biggest gap is on MMLU (broad academic knowledge), where it scores 86.2 vs 73.7. They differ in modality coverage, DBRX handles text while GPT-4.1 handles text, vision, which can be the deciding factor before you even look at benchmarks. DBRX ships open weights (Databricks Open Model License); GPT-4.1 is API-only.

GPT-4.1 is the newer of the two, released 13 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-4.1 sees more deployments in long context and rag. If pricing matters more than every last benchmark point, run the numbers in the calculator below before committing.

Side-by-side specs

SpecDBRXGPT-4.1
ProviderOtherOpenAI
ReleasedMar 2024Apr 2025
Modalitiestexttext, vision
Context window32K tokens1M tokens
Max output,32.8K tokens
Input · 1MPricing not published$2.00 / 1M tokens
Output · 1MPricing not published$8.00 / 1M tokens
Knowledge cutoff,2024-06
Open weightsYes (Databricks Open Model License)No
API availableYesYes

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 $18.00
  • Heavy usage, 1M in / 500k out per day, vs $180
  • RAG workload, 5M in / 200k out per day, vs $348

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).

Price calculator

Estimated spend for the listed models at your usage. Numbers are derived from each model's published per-million-token rates.

  • DBRXPricing unavailable
  • GPT-4.1$0.600

Benchmarks compared

Only sourced numbers. Where a benchmark is missing for one model we show the available value rather than fabricating the other.

DBRXGPT-4.1
  • MMLU73.786.2
  • HumanEval,90.6
Pick DBRX if

DBRX fits when…

  • Databricks-native
  • Tuned for enterprise SQL/code
  • Self-hosting and on-prem requirements, open weights (Databricks Open Model License).
Pick GPT-4.1 if

GPT-4.1 fits when…

  • 1M-token context window, strong for long-doc workloads
  • Mature SDK and tooling integrations
  • Reliable JSON-mode and function-calling
  • Long-context tasks, handles 1M tokens vs 32K for DBRX.
  • Multimodal needs covering vision.
Don't want either?

Consider Yi-Lightning

01.AI's API-tier Chinese-leaning model, strong on Chinese benchmarks at competitive pricing.

Frequently asked

  • Is DBRX or GPT-4.1 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-4.1 accepts 1M tokens vs 32K for DBRX.
  • Is DBRX or GPT-4.1 better for coding?
    Both DBRX and GPT-4.1 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-4.1 is API-only.
  • When were DBRX and GPT-4.1 released?
    DBRX was released by Other on 2024-03-27. GPT-4.1 was released by OpenAI on 2025-04-14.
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