DBRX vs WizardLM 2 8x22B

Compare DBRX and WizardLM 2 8x22B: 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 Microsoft models What is an LLM API? Python Quickstart What is inference?
Feature DBRX WizardLM 2 8x22B
CategoryEnterpriseOpen Source
Parameters132B (36B active)176B (22B active)
Context Window32K65K
Input Price$0.04/1M tokens$0.04/1M tokens
Output Price$0.08/1M tokens$0.08/1M tokens
Latency~300ms~350ms

Choose DBRX when:

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

MoE efficient, Good for data, Enterprise-grade

Choose WizardLM 2 8x22B when:

  • ✓ Complex instructions
  • ✓ Math tasks
  • ✓ Structured output
Key Strengths:

Strong instruction following, Good math, MoE efficient

Verdict: DBRX vs WizardLM 2 8x22B

For cost efficiency, WizardLM 2 8x22B wins at $0.04/1M input tokens. For speed, DBRX is faster at ~300ms. DBRX excels at Data pipelines while WizardLM 2 8x22B is better for Complex instructions. 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. WizardLM 2 8x22B costs $0.04 input and $0.08 output. Both models are similarly priced. XALEN offers batch processing at 50% discount on both models.

Performance & Context

DBRX has a 32K context window with ~300ms latency. WizardLM 2 8x22B offers 65K context at ~350ms. WizardLM 2 8x22B has the larger context window.

Best For

DBRX (Enterprise) is optimized for: Data pipelines, Analytics, Enterprise workflows. WizardLM 2 8x22B (Open Source) works best for: Complex instructions, Math tasks, Structured output.

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 WizardLM 2 8x22B
response_b = client.chat.completions.create(
    model="wizardlm-2-8x22b",
    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 WizardLM 2 8x22B?

DBRX (Enterprise, 132B (36B active)) offers MoE efficient. WizardLM 2 8x22B (Open Source, 176B (22B active)) offers Strong instruction following. Choose DBRX for Data pipelines or WizardLM 2 8x22B for Complex instructions.

How much does DBRX cost vs WizardLM 2 8x22B?

DBRX: $0.04/1M input, $0.08/1M output. WizardLM 2 8x22B: $0.04/1M input, $0.08/1M 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 WizardLM 2 8x22B by changing the model parameter. No code changes needed.

Related Comparisons

DBRX vs Gemma 3 27B DBRX vs Llama 4 Scout DBRX vs Llama 4 Maverick DBRX vs Llama 3.3 70B DBRX vs Llama 3.1 405B DBRX vs Llama 3.1 70B Turbo

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