o3 vs NVIDIA Nemotron 70B

Compare o3 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 o3 NVIDIA Nemotron 70B
CategoryReasoningOpen Source
Parameters~1T70B
Context Window200K128K
Input Price$0.10/1M tokens$0.04/1M tokens
Output Price$0.40/1M tokens$0.06/1M tokens
Latency~2000ms~300ms

Choose o3 when:

  • ✓ Complex calculations
  • ✓ Multi-factor analysis
  • ✓ Research-grade work
Key Strengths:

Extended thinking, Complex logic, Mathematical reasoning

Choose NVIDIA Nemotron 70B when:

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

Optimized for helpfulness, Strong quality, Good reasoning

Verdict: o3 vs NVIDIA Nemotron 70B

For cost efficiency, NVIDIA Nemotron 70B wins at $0.04/1M input tokens. For speed, o3 is faster at ~2000ms. o3 excels at Complex calculations 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

o3 costs $0.10/1M input tokens and $0.40/1M output tokens. NVIDIA Nemotron 70B costs $0.04 input and $0.06 output. NVIDIA Nemotron 70B is 2.5x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

o3 has a 200K context window with ~2000ms latency. NVIDIA Nemotron 70B offers 128K context at ~300ms. o3 has the larger context window.

Best For

o3 (Reasoning) is optimized for: Complex calculations, Multi-factor analysis, Research-grade work. 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 o3
response_a = client.chat.completions.create(
    model="o3",
    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, o3 or NVIDIA Nemotron 70B?

o3 (Reasoning, ~1T) offers Extended thinking. NVIDIA Nemotron 70B (Open Source, 70B) offers Optimized for helpfulness. Choose o3 for Complex calculations or NVIDIA Nemotron 70B for Helpful chatbots.

How much does o3 cost vs NVIDIA Nemotron 70B?

o3: $0.10/1M input, $0.40/1M 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 o3 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.