DBRX vs OLMo 2 13B
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 · OLMo 2 13B specs- PriceTie
Neither model publishes per-token API pricing.
- Context windowDBRX
DBRX accepts 32K tokens vs 4.1K, 7.8× 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 DBRX edges ahead, winning 1 of 5 categories against OLMo 2 13B's 0. Neither model publishes per-token API pricing. DBRX accepts 32K tokens vs 4.1K, 7.8× 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.
OLMo 2 13B is the newer of the two, released 8 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 OLMo 2 13B sees more deployments in open source llm and fine tuning. If pricing matters more than every last benchmark point, run the numbers in the calculator below before committing.
Side-by-side specs
| Spec | DBRX | OLMo 2 13B |
|---|---|---|
| Provider | Other | Other |
| Released | Mar 2024 | Nov 2024 |
| Modalities | text | text |
| Context window | 32K tokens | 4.1K tokens |
| Max output | , | , |
| Input · 1M | Pricing not published | Pricing not published |
| Output · 1M | Pricing not published | Pricing not published |
| Knowledge cutoff | , | , |
| Open weights | Yes (Databricks Open Model License) | Yes (Apache-2.0) |
| API available | Yes | No |
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).
Estimated spend for the listed models at your usage. Numbers are derived from each model's published per-million-token rates.
- DBRXPricing unavailable
- OLMo 2 13BPricing unavailable
Benchmarks compared
Only sourced numbers. Where a benchmark is missing for one model we show the available value rather than fabricating the other.
- MMLU73.7
DBRX fits when…
- Databricks-native
- Tuned for enterprise SQL/code
- Long-context tasks, handles 32K tokens vs 4.1K for OLMo 2 13B.
OLMo 2 13B fits when…
- Fully reproducible
- Apache-2.0
- Research-friendly
Consider Yi-Lightning
01.AI's API-tier Chinese-leaning model, strong on Chinese benchmarks at competitive pricing.
Frequently asked
Is DBRX or OLMo 2 13B 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?
DBRX accepts 32K tokens vs 4.1K for OLMo 2 13B.Is DBRX or OLMo 2 13B better for coding?
Both DBRX and OLMo 2 13B 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; OLMo 2 13B under Apache-2.0.When were DBRX and OLMo 2 13B released?
DBRX was released by Other on 2024-03-27. OLMo 2 13B was released by Other on 2024-11-26.
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