Pixtral Large vs Nemotron 4 340B

Compare Pixtral Large 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

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Feature Pixtral Large Nemotron 4 340B
CategoryVisionOpen Source
Parameters124B340B
Context Window128K128K
Input Price$0.06/1M tokens$0.07/1M tokens
Output Price$0.10/1M tokens$0.12/1M tokens
Latency~450ms~500ms

Choose Pixtral Large when:

  • ✓ Image analysis
  • ✓ Document understanding
  • ✓ Chart reading
Key Strengths:

Strong vision, Good reasoning, Multilingual

Choose Nemotron 4 340B when:

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

Synthetic data generation, Large scale, Good quality

Verdict: Pixtral Large vs Nemotron 4 340B

For cost efficiency, Pixtral Large wins at $0.06/1M input tokens. For speed, Pixtral Large is faster at ~450ms. Pixtral Large excels at Image analysis 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

Pixtral Large costs $0.06/1M input tokens and $0.10/1M output tokens. Nemotron 4 340B costs $0.07 input and $0.12 output. Pixtral Large is 1.2x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Pixtral Large has a 128K context window with ~450ms latency. Nemotron 4 340B offers 128K context at ~500ms. Both have identical context windows.

Best For

Pixtral Large (Vision) is optimized for: Image analysis, Document understanding, Chart reading. 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 Pixtral Large
response_a = client.chat.completions.create(
    model="pixtral-large",
    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"}]
)

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Pixtral Large or Nemotron 4 340B?

Pixtral Large (Vision, 124B) offers Strong vision. Nemotron 4 340B (Open Source, 340B) offers Synthetic data generation. Choose Pixtral Large for Image analysis or Nemotron 4 340B for Data generation.

How much does Pixtral Large cost vs Nemotron 4 340B?

Pixtral Large: $0.06/1M input, $0.10/1M 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 Pixtral Large and Nemotron 4 340B 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.