InternLM 2.5 20B vs Nemotron 4 340B

Compare InternLM 2.5 20B 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 InternLM 2.5 20B Nemotron 4 340B
CategoryOpen SourceOpen Source
Parameters20B340B
Context Window256K128K
Input Price$0.02/1M tokens$0.07/1M tokens
Output Price$0.04/1M tokens$0.12/1M tokens
Latency~180ms~500ms

Choose InternLM 2.5 20B when:

  • ✓ Long context tasks
  • ✓ Research
  • ✓ Multilingual
Key Strengths:

256K context, Strong reasoning, Good multilingual

Choose Nemotron 4 340B when:

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

Synthetic data generation, Large scale, Good quality

Verdict: InternLM 2.5 20B vs Nemotron 4 340B

For cost efficiency, InternLM 2.5 20B wins at $0.02/1M input tokens. For speed, InternLM 2.5 20B is faster at ~180ms. InternLM 2.5 20B excels at Long context tasks 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

InternLM 2.5 20B costs $0.02/1M input tokens and $0.04/1M output tokens. Nemotron 4 340B costs $0.07 input and $0.12 output. InternLM 2.5 20B is 3.5x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

InternLM 2.5 20B has a 256K context window with ~180ms latency. Nemotron 4 340B offers 128K context at ~500ms. InternLM 2.5 20B has the larger context window.

Best For

InternLM 2.5 20B (Open Source) is optimized for: Long context tasks, Research, Multilingual. 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 InternLM 2.5 20B
response_a = client.chat.completions.create(
    model="internlm-2-5-20b",
    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"}]
)

Start Building with XALEN

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, InternLM 2.5 20B or Nemotron 4 340B?

InternLM 2.5 20B (Open Source, 20B) offers 256K context. Nemotron 4 340B (Open Source, 340B) offers Synthetic data generation. Choose InternLM 2.5 20B for Long context tasks or Nemotron 4 340B for Data generation.

How much does InternLM 2.5 20B cost vs Nemotron 4 340B?

InternLM 2.5 20B: $0.02/1M input, $0.04/1M 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 InternLM 2.5 20B 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.