DBRX vs Qwen 3 14B

Compare DBRX and Qwen 3 14B: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.

Updated 2026-05-21 · By Abhishek Raj · Our methodology

All Databricks models All Alibaba models What is an LLM API? Python Quickstart What is inference?
Feature DBRX Qwen 3 14B
CategoryEnterpriseCompact
Parameters132B (36B active)14B
Context Window32K128K
Input Price$0.04/1M tokens$0.015/1M tokens
Output Price$0.08/1M tokens$0.03/1M tokens
Latency~300ms~100ms

Choose DBRX when:

  • ✓ Data pipelines
  • ✓ Analytics
  • ✓ Enterprise workflows
Key Strengths:

MoE efficient, Good for data, Enterprise-grade

Choose Qwen 3 14B when:

  • ✓ Moderate tasks
  • ✓ Fast chatbots
  • ✓ Budget apps
Key Strengths:

Good reasoning for size, Fast, 128K context

Verdict: DBRX vs Qwen 3 14B

For cost efficiency, Qwen 3 14B wins at $0.015/1M input tokens. For speed, Qwen 3 14B is faster at ~100ms. DBRX excels at Data pipelines while Qwen 3 14B is better for Moderate tasks. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

DBRX costs $0.04/1M input tokens and $0.08/1M output tokens. Qwen 3 14B costs $0.015 input and $0.03 output. Qwen 3 14B is 2.7x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

DBRX has a 32K context window with ~300ms latency. Qwen 3 14B offers 128K context at ~100ms. Qwen 3 14B has the larger context window.

Best For

DBRX (Enterprise) is optimized for: Data pipelines, Analytics, Enterprise workflows. Qwen 3 14B (Compact) works best for: Moderate tasks, Fast chatbots, Budget apps.

Try Both on XALEN

Both models are available through XALEN's OpenAI-compatible API. Switch between them by changing the model parameter:

from xalen import XALEN

client = XALEN(api_key="xln_test_YOUR_KEY")

# Use DBRX
response_a = client.chat.completions.create(
    model="dbrx",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Qwen 3 14B
response_b = client.chat.completions.create(
    model="qwen-3-14b",
    messages=[{"role": "user", "content": "Your question here"}]
)

Start Building with XALEN

200+ AI models. One API. Pay-as-you-go.

Get API Key Try in Playground

Frequently Asked Questions

Which is better, DBRX or Qwen 3 14B?

DBRX (Enterprise, 132B (36B active)) offers MoE efficient. Qwen 3 14B (Compact, 14B) offers Good reasoning for size. Choose DBRX for Data pipelines or Qwen 3 14B for Moderate tasks.

How much does DBRX cost vs Qwen 3 14B?

DBRX: $0.04/1M input, $0.08/1M output. Qwen 3 14B: $0.015/1M input, $0.03/1M output. Both available on XALEN with batch processing at 50% discount.

Can I use both models on XALEN?

Yes. XALEN provides 200+ models through a single OpenAI-compatible API. Switch between DBRX and Qwen 3 14B by changing the model parameter. No code changes needed.

Related Comparisons

DBRX vs GPT-4.1 Nano DBRX vs GPT-4o Mini DBRX vs Claude Haiku 3.5 DBRX vs Gemma 3 12B DBRX vs Gemma 3 4B DBRX vs Gemini 2.5 Flash Lite

Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.