Nemotron 4 340B vs StarCoder2 15B

Compare Nemotron 4 340B and StarCoder2 15B: 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 StarCoder2 15B
CategoryOpen SourceCode
Parameters340B15B
Context Window128K16K
Input Price$0.07/1M tokens$0.02/1M tokens
Output Price$0.12/1M tokens$0.03/1M tokens
Latency~500ms~150ms

Choose Nemotron 4 340B when:

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

Synthetic data generation, Large scale, Good quality

Choose StarCoder2 15B when:

  • ✓ Code completion
  • ✓ Code generation
  • ✓ Bug fixing
Key Strengths:

Strong coding, 600+ languages, Open weights

Verdict: Nemotron 4 340B vs StarCoder2 15B

For cost efficiency, StarCoder2 15B wins at $0.02/1M input tokens. For speed, StarCoder2 15B is faster at ~150ms. Nemotron 4 340B excels at Data generation while StarCoder2 15B is better for Code completion. 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. StarCoder2 15B costs $0.02 input and $0.03 output. StarCoder2 15B is 3.5x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Nemotron 4 340B has a 128K context window with ~500ms latency. StarCoder2 15B offers 16K context at ~150ms. Nemotron 4 340B has the larger context window.

Best For

Nemotron 4 340B (Open Source) is optimized for: Data generation, Training data, Research. StarCoder2 15B (Code) works best for: Code completion, Code generation, Bug fixing.

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 StarCoder2 15B
response_b = client.chat.completions.create(
    model="starcoder2-15b",
    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 StarCoder2 15B?

Nemotron 4 340B (Open Source, 340B) offers Synthetic data generation. StarCoder2 15B (Code, 15B) offers Strong coding. Choose Nemotron 4 340B for Data generation or StarCoder2 15B for Code completion.

How much does Nemotron 4 340B cost vs StarCoder2 15B?

Nemotron 4 340B: $0.07/1M input, $0.12/1M output. StarCoder2 15B: $0.02/1M input, $0.03/1M 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 StarCoder2 15B 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.