DeepSeek R1 Distill 70B vs Nemotron 4 340B

Compare DeepSeek R1 Distill 70B and Nemotron 4 340B: 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 DeepSeek models All NVIDIA models What is an LLM API? Python Quickstart What is inference?
Feature DeepSeek R1 Distill 70B Nemotron 4 340B
CategoryReasoningOpen Source
Parameters70B340B
Context Window128K128K
Input Price$0.04/1M tokens$0.07/1M tokens
Output Price$0.08/1M tokens$0.12/1M tokens
Latency~400ms~500ms

Choose DeepSeek R1 Distill 70B when:

  • ✓ Production reasoning
  • ✓ Batch processing
  • ✓ Cost-sensitive
Key Strengths:

Reasoning distilled, Faster than full R1, Cost-efficient

Choose Nemotron 4 340B when:

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

Synthetic data generation, Large scale, Good quality

Verdict: DeepSeek R1 Distill 70B vs Nemotron 4 340B

For cost efficiency, DeepSeek R1 Distill 70B wins at $0.04/1M input tokens. For speed, DeepSeek R1 Distill 70B is faster at ~400ms. DeepSeek R1 Distill 70B excels at Production reasoning while Nemotron 4 340B is better for Data generation. 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 Distill 70B costs $0.04/1M input tokens and $0.08/1M output tokens. Nemotron 4 340B costs $0.07 input and $0.12 output. DeepSeek R1 Distill 70B is 1.8x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

DeepSeek R1 Distill 70B has a 128K context window with ~400ms latency. Nemotron 4 340B offers 128K context at ~500ms. Both have identical context windows.

Best For

DeepSeek R1 Distill 70B (Reasoning) is optimized for: Production reasoning, Batch processing, Cost-sensitive. Nemotron 4 340B (Open Source) works best for: Data generation, Training data, 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 DeepSeek R1 Distill 70B
response_a = client.chat.completions.create(
    model="deepseek-r1-distill-70b",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Nemotron 4 340B
response_b = client.chat.completions.create(
    model="nemotron-4-340b",
    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 Distill 70B or Nemotron 4 340B?

DeepSeek R1 Distill 70B (Reasoning, 70B) offers Reasoning distilled. Nemotron 4 340B (Open Source, 340B) offers Synthetic data generation. Choose DeepSeek R1 Distill 70B for Production reasoning or Nemotron 4 340B for Data generation.

How much does DeepSeek R1 Distill 70B cost vs Nemotron 4 340B?

DeepSeek R1 Distill 70B: $0.04/1M input, $0.08/1M output. Nemotron 4 340B: $0.07/1M input, $0.12/1M 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 Distill 70B and Nemotron 4 340B by changing the model parameter. No code changes needed.

Related Comparisons

DeepSeek R1 Distill 70B vs o3 DeepSeek R1 Distill 70B vs o3 Mini DeepSeek R1 Distill 70B vs o4-mini DeepSeek R1 Distill 70B vs Gemma 3 27B DeepSeek R1 Distill 70B vs Llama 4 Scout DeepSeek R1 Distill 70B vs Llama 4 Maverick

Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.