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DBRX vs Mistral Nemo

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 · Mistral Nemo specs
Verdict by category
  • PriceTie

    Neither model publishes per-token API pricing.

  • Context windowMistral Nemo

    Mistral Nemo accepts 128K tokens vs 32K, 4.0× the room for long documents and codebases.

  • BenchmarksTie

    No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores.

  • ModalitiesTie

    Both handle text.

  • OpennessTie

    Both ship open weights, self-host either one.

On balance Mistral Nemo edges ahead, winning 1 of 5 categories against DBRX's 0. Neither model publishes per-token API pricing. Mistral Nemo accepts 128K tokens vs 32K, 4.0× the room for long documents and codebases.

No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores. Both target the same set of modalities (text), so the deciding factors are price, context, and raw quality. Both ship open weights, self-host either one.

Mistral Nemo 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 Mistral Nemo sees more deployments in edge deployment and local llm. If pricing matters more than every last benchmark point, run the numbers in the calculator below before committing.

Side-by-side specs

SpecDBRXMistral Nemo
ProviderOtherMistral
ReleasedMar 2024Jul 2024
Modalitiestexttext
Context window32K tokens128K tokens
Max output,,
Input · 1MPricing not publishedPricing not published
Output · 1MPricing not publishedPricing not published
Knowledge cutoff,,
Open weightsYes (Databricks Open Model License)Yes (Apache-2.0)
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 ,
  • Heavy usage, 1M in / 500k out per day, vs ,
  • RAG workload, 5M in / 200k out per day, vs ,

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
  • Mistral NemoPricing unavailable

Benchmarks compared

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

DBRXMistral Nemo
  • MMLU73.7
Pick DBRX if

DBRX fits when…

  • Databricks-native
  • Tuned for enterprise SQL/code
Pick Mistral Nemo if

Mistral Nemo fits when…

  • Apache-2.0
  • Single-GPU fit
  • Multilingual
  • Long-context tasks, handles 128K tokens vs 32K for DBRX.
Don't want either?

Consider Yi-Lightning

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

See Yi-Lightning specsDBRX vs Yi-LightningMistral Nemo vs Yi-Lightning

Frequently asked

  • Is DBRX or Mistral Nemo 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?
    Mistral Nemo accepts 128K tokens vs 32K for DBRX.
  • Is DBRX or Mistral Nemo better for coding?
    Both DBRX and Mistral Nemo 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?
    Both ship with open weights. DBRX is licensed under Databricks Open Model License; Mistral Nemo under Apache-2.0.
  • When were DBRX and Mistral Nemo released?
    DBRX was released by Other on 2024-03-27. Mistral Nemo was released by Mistral on 2024-07-18.
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