Llama 3.1 8B Turbo vs NVIDIA Nemotron 70B

Compare Llama 3.1 8B Turbo and NVIDIA Nemotron 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 Llama 3.1 8B Turbo NVIDIA Nemotron 70B
CategoryCompactOpen Source
Parameters8B70B
Context Window128K128K
Input Price$0.01/1M tokens$0.04/1M tokens
Output Price$0.02/1M tokens$0.06/1M tokens
Latency~60ms~300ms

Choose Llama 3.1 8B Turbo when:

  • ✓ Intent classification
  • ✓ Content filtering
  • ✓ Simple Q&A
Key Strengths:

Extremely fast, Very low cost, 128K context

Choose NVIDIA Nemotron 70B when:

  • ✓ Helpful chatbots
  • ✓ Customer service
  • ✓ Q&A
Key Strengths:

Optimized for helpfulness, Strong quality, Good reasoning

Verdict: Llama 3.1 8B Turbo vs NVIDIA Nemotron 70B

For cost efficiency, Llama 3.1 8B Turbo wins at $0.01/1M input tokens. For speed, NVIDIA Nemotron 70B is faster at ~300ms. Llama 3.1 8B Turbo excels at Intent classification while NVIDIA Nemotron 70B is better for Helpful chatbots. 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 8B Turbo costs $0.01/1M input tokens and $0.02/1M output tokens. NVIDIA Nemotron 70B costs $0.04 input and $0.06 output. Llama 3.1 8B Turbo is 4.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.1 8B Turbo has a 128K context window with ~60ms latency. NVIDIA Nemotron 70B offers 128K context at ~300ms. Both have identical context windows.

Best For

Llama 3.1 8B Turbo (Compact) is optimized for: Intent classification, Content filtering, Simple Q&A. NVIDIA Nemotron 70B (Open Source) works best for: Helpful chatbots, Customer service, Q&A.

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 8B Turbo
response_a = client.chat.completions.create(
    model="llama-3-1-8b-turbo",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use NVIDIA Nemotron 70B
response_b = client.chat.completions.create(
    model="nvidia-llama-3-1-nemotron-70b",
    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, Llama 3.1 8B Turbo or NVIDIA Nemotron 70B?

Llama 3.1 8B Turbo (Compact, 8B) offers Extremely fast. NVIDIA Nemotron 70B (Open Source, 70B) offers Optimized for helpfulness. Choose Llama 3.1 8B Turbo for Intent classification or NVIDIA Nemotron 70B for Helpful chatbots.

How much does Llama 3.1 8B Turbo cost vs NVIDIA Nemotron 70B?

Llama 3.1 8B Turbo: $0.01/1M input, $0.02/1M output. NVIDIA Nemotron 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 Llama 3.1 8B Turbo and NVIDIA Nemotron 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.