DBRX vs Qwen2.5-7B
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 · Qwen2.5-7B specs- PriceTie
Neither model publishes per-token API pricing.
- Context windowQwen2.5-7B
Qwen2.5-7B 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 Qwen2.5-7B edges ahead, winning 1 of 5 categories against DBRX's 0. Neither model publishes per-token API pricing. Qwen2.5-7B 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.
Qwen2.5-7B is the newer of the two, released 6 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 Qwen2.5-7B sees more deployments in local llm and on device. If pricing matters more than every last benchmark point, run the numbers in the calculator below before committing.
Side-by-side specs
| Spec | DBRX | Qwen2.5-7B |
|---|---|---|
| Provider | Other | Alibaba |
| Released | Mar 2024 | Sep 2024 |
| Modalities | text | text |
| Context window | 32K tokens | 128K 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 | 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 ,
- 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
- Qwen2.5-7BPricing 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
Qwen2.5-7B fits when…
- Apache-2.0
- Runs on laptops
- Strong multilingual
- Long-context tasks, handles 128K tokens vs 32K for DBRX.
Consider Yi-Lightning
01.AI's API-tier Chinese-leaning model, strong on Chinese benchmarks at competitive pricing.
Frequently asked
Is DBRX or Qwen2.5-7B 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?
Qwen2.5-7B accepts 128K tokens vs 32K for DBRX.Is DBRX or Qwen2.5-7B better for coding?
Both DBRX and Qwen2.5-7B 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; Qwen2.5-7B under Apache-2.0.When were DBRX and Qwen2.5-7B released?
DBRX was released by Other on 2024-03-27. Qwen2.5-7B was released by Alibaba on 2024-09-19.
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