DBRX vs Code Llama 70B

Compare DBRX and Code Llama 70B: 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 DBRX Code Llama 70B
CategoryEnterpriseCode
Parameters132B (36B active)70B
Context Window32K100K
Input Price$0.04/1M tokens$0.04/1M tokens
Output Price$0.08/1M tokens$0.06/1M tokens
Latency~300ms~300ms

Choose DBRX when:

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

MoE efficient, Good for data, Enterprise-grade

Choose Code Llama 70B when:

  • ✓ Large codebases
  • ✓ Code review
  • ✓ Refactoring
Key Strengths:

100K context, Strong coding, Fill-in-middle

Verdict: DBRX vs Code Llama 70B

For cost efficiency, Code Llama 70B wins at $0.04/1M input tokens. For speed, Code Llama 70B is faster at ~300ms. DBRX excels at Data pipelines while Code Llama 70B is better for Large codebases. 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. Code Llama 70B costs $0.04 input and $0.06 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. Code Llama 70B offers 100K context at ~300ms. Code Llama 70B has the larger context window.

Best For

DBRX (Enterprise) is optimized for: Data pipelines, Analytics, Enterprise workflows. Code Llama 70B (Code) works best for: Large codebases, Code review, Refactoring.

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

Start Building with XALEN

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, DBRX or Code Llama 70B?

DBRX (Enterprise, 132B (36B active)) offers MoE efficient. Code Llama 70B (Code, 70B) offers 100K context. Choose DBRX for Data pipelines or Code Llama 70B for Large codebases.

How much does DBRX cost vs Code Llama 70B?

DBRX: $0.04/1M input, $0.08/1M output. Code Llama 70B: $0.04/1M input, $0.06/1M 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 Code Llama 70B 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.