Llama 4 Maverick vs Nemotron 4 340B

Compare Llama 4 Maverick 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 Llama 4 Maverick Nemotron 4 340B
CategoryOpen SourceOpen Source
Parameters400B (17B active)340B
Context Window256K128K
Input Price$0.07/1M tokens$0.07/1M tokens
Output Price$0.12/1M tokens$0.12/1M tokens
Latency~450ms~500ms

Choose Llama 4 Maverick when:

  • ✓ Complex analysis
  • ✓ Professional reports
  • ✓ Deep reasoning
Key Strengths:

Superior reasoning, 256K context, Excellent multilingual

Choose Nemotron 4 340B when:

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

Synthetic data generation, Large scale, Good quality

Verdict: Llama 4 Maverick vs Nemotron 4 340B

For cost efficiency, Nemotron 4 340B wins at $0.07/1M input tokens. For speed, Llama 4 Maverick is faster at ~450ms. Llama 4 Maverick excels at Complex 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

Llama 4 Maverick costs $0.07/1M input tokens and $0.12/1M output tokens. Nemotron 4 340B costs $0.07 input and $0.12 output. Both models are similarly priced. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 4 Maverick has a 256K context window with ~450ms latency. Nemotron 4 340B offers 128K context at ~500ms. Llama 4 Maverick has the larger context window.

Best For

Llama 4 Maverick (Open Source) is optimized for: Complex analysis, Professional reports, Deep reasoning. 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 Llama 4 Maverick
response_a = client.chat.completions.create(
    model="llama-4-maverick",
    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, Llama 4 Maverick or Nemotron 4 340B?

Llama 4 Maverick (Open Source, 400B (17B active)) offers Superior reasoning. Nemotron 4 340B (Open Source, 340B) offers Synthetic data generation. Choose Llama 4 Maverick for Complex analysis or Nemotron 4 340B for Data generation.

How much does Llama 4 Maverick cost vs Nemotron 4 340B?

Llama 4 Maverick: $0.07/1M input, $0.12/1M 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 Llama 4 Maverick 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.