Nemotron 4 340B vs NVIDIA Nemotron 70B

Compare Nemotron 4 340B 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 Nemotron 4 340B NVIDIA Nemotron 70B
CategoryOpen SourceOpen Source
Parameters340B70B
Context Window128K128K
Input Price$0.07/1M tokens$0.04/1M tokens
Output Price$0.12/1M tokens$0.06/1M tokens
Latency~500ms~300ms

Choose Nemotron 4 340B when:

  • ✓ Data generation
  • ✓ Training data
  • ✓ Research
Key Strengths:

Synthetic data generation, Large scale, Good quality

Choose NVIDIA Nemotron 70B when:

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

Optimized for helpfulness, Strong quality, Good reasoning

Verdict: Nemotron 4 340B vs NVIDIA Nemotron 70B

For cost efficiency, NVIDIA Nemotron 70B wins at $0.04/1M input tokens. For speed, NVIDIA Nemotron 70B is faster at ~300ms. Nemotron 4 340B excels at Data generation 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

Nemotron 4 340B costs $0.07/1M input tokens and $0.12/1M output tokens. NVIDIA Nemotron 70B costs $0.04 input and $0.06 output. NVIDIA Nemotron 70B is 1.8x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Nemotron 4 340B has a 128K context window with ~500ms latency. NVIDIA Nemotron 70B offers 128K context at ~300ms. Both have identical context windows.

Best For

Nemotron 4 340B (Open Source) is optimized for: Data generation, Training data, Research. 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 Nemotron 4 340B
response_a = client.chat.completions.create(
    model="nemotron-4-340b",
    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, Nemotron 4 340B or NVIDIA Nemotron 70B?

Nemotron 4 340B (Open Source, 340B) offers Synthetic data generation. NVIDIA Nemotron 70B (Open Source, 70B) offers Optimized for helpfulness. Choose Nemotron 4 340B for Data generation or NVIDIA Nemotron 70B for Helpful chatbots.

How much does Nemotron 4 340B cost vs NVIDIA Nemotron 70B?

Nemotron 4 340B: $0.07/1M input, $0.12/1M 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 Nemotron 4 340B 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.