Nemotron 4 340B vs Gemini 2.5 Pro Preview

Compare Nemotron 4 340B and Gemini 2.5 Pro Preview: 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 Gemini 2.5 Pro Preview
CategoryOpen SourceFrontier
Parameters340B~1.5T
Context Window128K2M
Input Price$0.07/1M tokens$0.07/1M tokens
Output Price$0.12/1M tokens$0.21/1M tokens
Latency~500ms~700ms

Choose Nemotron 4 340B when:

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

Synthetic data generation, Large scale, Good quality

Choose Gemini 2.5 Pro Preview when:

  • ✓ Research
  • ✓ Long analysis
  • ✓ Testing new capabilities
Key Strengths:

2M context, Experimental features, Strong reasoning

Verdict: Nemotron 4 340B vs Gemini 2.5 Pro Preview

For cost efficiency, Gemini 2.5 Pro Preview wins at $0.07/1M input tokens. For speed, Nemotron 4 340B is faster at ~500ms. Nemotron 4 340B excels at Data generation while Gemini 2.5 Pro Preview is better for Research. 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. Gemini 2.5 Pro Preview costs $0.07 input and $0.21 output. Both models are similarly priced. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Nemotron 4 340B has a 128K context window with ~500ms latency. Gemini 2.5 Pro Preview offers 2M context at ~700ms. Gemini 2.5 Pro Preview has the larger context window.

Best For

Nemotron 4 340B (Open Source) is optimized for: Data generation, Training data, Research. Gemini 2.5 Pro Preview (Frontier) works best for: Research, Long analysis, Testing new capabilities.

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 Gemini 2.5 Pro Preview
response_b = client.chat.completions.create(
    model="gemini-2-5-pro-preview",
    messages=[{"role": "user", "content": "Your question here"}]
)

Start Building with XALEN

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Nemotron 4 340B or Gemini 2.5 Pro Preview?

Nemotron 4 340B (Open Source, 340B) offers Synthetic data generation. Gemini 2.5 Pro Preview (Frontier, ~1.5T) offers 2M context. Choose Nemotron 4 340B for Data generation or Gemini 2.5 Pro Preview for Research.

How much does Nemotron 4 340B cost vs Gemini 2.5 Pro Preview?

Nemotron 4 340B: $0.07/1M input, $0.12/1M output. Gemini 2.5 Pro Preview: $0.07/1M input, $0.21/1M 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 Gemini 2.5 Pro Preview 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.