Grok 3 Mini vs Code Llama 70B

Compare Grok 3 Mini 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 Grok 3 Mini Code Llama 70B
CategoryCompactCode
Parameters~70B70B
Context Window128K100K
Input Price$0.03/1M tokens$0.04/1M tokens
Output Price$0.08/1M tokens$0.06/1M tokens
Latency~200ms~300ms

Choose Grok 3 Mini when:

  • ✓ Fast queries
  • ✓ Temple chatbots
  • ✓ General Q&A
Key Strengths:

Cost-efficient, Good reasoning, Fast

Choose Code Llama 70B when:

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

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

Verdict: Grok 3 Mini vs Code Llama 70B

For cost efficiency, Grok 3 Mini wins at $0.03/1M input tokens. For speed, Grok 3 Mini is faster at ~200ms. Grok 3 Mini excels at Fast queries 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

Grok 3 Mini costs $0.03/1M input tokens and $0.08/1M output tokens. Code Llama 70B costs $0.04 input and $0.06 output. Grok 3 Mini is 1.3x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Grok 3 Mini has a 128K context window with ~200ms latency. Code Llama 70B offers 100K context at ~300ms. Grok 3 Mini has the larger context window.

Best For

Grok 3 Mini (Compact) is optimized for: Fast queries, Temple chatbots, General Q&A. 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 Grok 3 Mini
response_a = client.chat.completions.create(
    model="grok-3-mini",
    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"}]
)

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Frequently Asked Questions

Which is better, Grok 3 Mini or Code Llama 70B?

Grok 3 Mini (Compact, ~70B) offers Cost-efficient. Code Llama 70B (Code, 70B) offers 100K context. Choose Grok 3 Mini for Fast queries or Code Llama 70B for Large codebases.

How much does Grok 3 Mini cost vs Code Llama 70B?

Grok 3 Mini: $0.03/1M 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 Grok 3 Mini 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.