Llama 3.1 70B Turbo vs Grok 3

Compare Llama 3.1 70B Turbo and Grok 3: 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 Meta models All xAI models What is an LLM API? Python Quickstart What is inference?
Feature Llama 3.1 70B Turbo Grok 3
CategoryOpen SourceFrontier
Parameters70B~800B
Context Window128K128K
Input Price$0.04/1M tokens$0.10/1M tokens
Output Price$0.06/1M tokens$0.25/1M tokens
Latency~250ms~500ms

Choose Llama 3.1 70B Turbo when:

  • ✓ Production APIs
  • ✓ Fast generation
  • ✓ General purpose
Key Strengths:

Fast inference, Good quality, Well-tested

Choose Grok 3 when:

  • ✓ Transit predictions
  • ✓ Creative interpretations
  • ✓ Research
Key Strengths:

Strong reasoning, Real-time knowledge, Creative output

Verdict: Llama 3.1 70B Turbo vs Grok 3

For cost efficiency, Llama 3.1 70B Turbo wins at $0.04/1M input tokens. For speed, Llama 3.1 70B Turbo is faster at ~250ms. Llama 3.1 70B Turbo excels at Production APIs while Grok 3 is better for Transit predictions. 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 3.1 70B Turbo costs $0.04/1M input tokens and $0.06/1M output tokens. Grok 3 costs $0.10 input and $0.25 output. Llama 3.1 70B Turbo is 2.5x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.1 70B Turbo has a 128K context window with ~250ms latency. Grok 3 offers 128K context at ~500ms. Both have identical context windows.

Best For

Llama 3.1 70B Turbo (Open Source) is optimized for: Production APIs, Fast generation, General purpose. Grok 3 (Frontier) works best for: Transit predictions, Creative interpretations, Research.

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 3.1 70B Turbo
response_a = client.chat.completions.create(
    model="llama-3-1-70b-turbo",
    messages=[{"role": "user", "content": "Your question here"}]
)

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

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Frequently Asked Questions

Which is better, Llama 3.1 70B Turbo or Grok 3?

Llama 3.1 70B Turbo (Open Source, 70B) offers Fast inference. Grok 3 (Frontier, ~800B) offers Strong reasoning. Choose Llama 3.1 70B Turbo for Production APIs or Grok 3 for Transit predictions.

How much does Llama 3.1 70B Turbo cost vs Grok 3?

Llama 3.1 70B Turbo: $0.04/1M input, $0.06/1M output. Grok 3: $0.10/1M input, $0.25/1M 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 3.1 70B Turbo and Grok 3 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.