Llama 3.3 70B vs DBRX

Compare Llama 3.3 70B and DBRX: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.

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

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Feature Llama 3.3 70B DBRX
CategoryOpen SourceEnterprise
Parameters70B132B (36B active)
Context Window128K32K
Input Price$0.04/1M tokens$0.04/1M tokens
Output Price$0.06/1M tokens$0.08/1M tokens
Latency~300ms~300ms

Choose Llama 3.3 70B when:

  • ✓ General Q&A
  • ✓ Hindi chatbots
  • ✓ Content generation
Key Strengths:

Proven reliability, Good Hindi/Tamil, 128K context

Choose DBRX when:

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

MoE efficient, Good for data, Enterprise-grade

Verdict: Llama 3.3 70B vs DBRX

For cost efficiency, DBRX wins at $0.04/1M input tokens. For speed, DBRX is faster at ~300ms. Llama 3.3 70B excels at General Q&A while DBRX is better for Data pipelines. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

Llama 3.3 70B costs $0.04/1M input tokens and $0.06/1M output tokens. DBRX 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

Llama 3.3 70B has a 128K context window with ~300ms latency. DBRX offers 32K context at ~300ms. Llama 3.3 70B has the larger context window.

Best For

Llama 3.3 70B (Open Source) is optimized for: General Q&A, Hindi chatbots, Content generation. DBRX (Enterprise) works best for: Data pipelines, Analytics, Enterprise workflows.

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 Llama 3.3 70B
response_a = client.chat.completions.create(
    model="llama-3-3-70b",
    messages=[{"role": "user", "content": "Your question here"}]
)

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

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Frequently Asked Questions

Which is better, Llama 3.3 70B or DBRX?

Llama 3.3 70B (Open Source, 70B) offers Proven reliability. DBRX (Enterprise, 132B (36B active)) offers MoE efficient. Choose Llama 3.3 70B for General Q&A or DBRX for Data pipelines.

How much does Llama 3.3 70B cost vs DBRX?

Llama 3.3 70B: $0.04/1M input, $0.06/1M output. DBRX: $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 Llama 3.3 70B and DBRX by changing the model parameter. No code changes needed.

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