DeepSeek R1 0528 vs NVIDIA Nemotron 70B

Compare DeepSeek R1 0528 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 DeepSeek R1 0528 NVIDIA Nemotron 70B
CategoryReasoningOpen Source
Parameters671B70B
Context Window128K128K
Input Price$0.08/1M tokens$0.04/1M tokens
Output Price$0.15/1M tokens$0.06/1M tokens
Latency~800ms~300ms

Choose DeepSeek R1 0528 when:

  • ✓ Calculation verification
  • ✓ Classical text analysis
  • ✓ Quality-critical
Key Strengths:

Improved accuracy, Reduced hallucination, Strong math

Choose NVIDIA Nemotron 70B when:

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

Optimized for helpfulness, Strong quality, Good reasoning

Verdict: DeepSeek R1 0528 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. DeepSeek R1 0528 excels at Calculation verification 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

DeepSeek R1 0528 costs $0.08/1M input tokens and $0.15/1M output tokens. NVIDIA Nemotron 70B costs $0.04 input and $0.06 output. NVIDIA Nemotron 70B is 2.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

DeepSeek R1 0528 has a 128K context window with ~800ms latency. NVIDIA Nemotron 70B offers 128K context at ~300ms. Both have identical context windows.

Best For

DeepSeek R1 0528 (Reasoning) is optimized for: Calculation verification, Classical text analysis, Quality-critical. 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 DeepSeek R1 0528
response_a = client.chat.completions.create(
    model="deepseek-r1-0528",
    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, DeepSeek R1 0528 or NVIDIA Nemotron 70B?

DeepSeek R1 0528 (Reasoning, 671B) offers Improved accuracy. NVIDIA Nemotron 70B (Open Source, 70B) offers Optimized for helpfulness. Choose DeepSeek R1 0528 for Calculation verification or NVIDIA Nemotron 70B for Helpful chatbots.

How much does DeepSeek R1 0528 cost vs NVIDIA Nemotron 70B?

DeepSeek R1 0528: $0.08/1M input, $0.15/1M 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 DeepSeek R1 0528 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.