NVIDIA Nemotron 70B vs DeepSeek R1 Distill 32B

Compare NVIDIA Nemotron 70B and DeepSeek R1 Distill 32B: 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 NVIDIA Nemotron 70B DeepSeek R1 Distill 32B
CategoryOpen SourceReasoning
Parameters70B32B
Context Window128K128K
Input Price$0.04/1M tokens$0.03/1M tokens
Output Price$0.06/1M tokens$0.06/1M tokens
Latency~300ms~250ms

Choose NVIDIA Nemotron 70B when:

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

Optimized for helpfulness, Strong quality, Good reasoning

Choose DeepSeek R1 Distill 32B when:

  • ✓ Production reasoning
  • ✓ Analysis
  • ✓ Structured tasks
Key Strengths:

Good reasoning, Moderate cost, Fast

Verdict: NVIDIA Nemotron 70B vs DeepSeek R1 Distill 32B

For cost efficiency, DeepSeek R1 Distill 32B wins at $0.03/1M input tokens. For speed, DeepSeek R1 Distill 32B is faster at ~250ms. NVIDIA Nemotron 70B excels at Helpful chatbots while DeepSeek R1 Distill 32B is better for Production reasoning. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

NVIDIA Nemotron 70B costs $0.04/1M input tokens and $0.06/1M output tokens. DeepSeek R1 Distill 32B costs $0.03 input and $0.06 output. DeepSeek R1 Distill 32B is 1.3x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

NVIDIA Nemotron 70B has a 128K context window with ~300ms latency. DeepSeek R1 Distill 32B offers 128K context at ~250ms. Both have identical context windows.

Best For

NVIDIA Nemotron 70B (Open Source) is optimized for: Helpful chatbots, Customer service, Q&A. DeepSeek R1 Distill 32B (Reasoning) works best for: Production reasoning, Analysis, Structured tasks.

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

# Use DeepSeek R1 Distill 32B
response_b = client.chat.completions.create(
    model="deepseek-r1-distill-32b",
    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, NVIDIA Nemotron 70B or DeepSeek R1 Distill 32B?

NVIDIA Nemotron 70B (Open Source, 70B) offers Optimized for helpfulness. DeepSeek R1 Distill 32B (Reasoning, 32B) offers Good reasoning. Choose NVIDIA Nemotron 70B for Helpful chatbots or DeepSeek R1 Distill 32B for Production reasoning.

How much does NVIDIA Nemotron 70B cost vs DeepSeek R1 Distill 32B?

NVIDIA Nemotron 70B: $0.04/1M input, $0.06/1M output. DeepSeek R1 Distill 32B: $0.03/1M 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 NVIDIA Nemotron 70B and DeepSeek R1 Distill 32B 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.