Claude Opus 4.5 vs Nemotron 4 340B
Compare Claude Opus 4.5 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
| Feature | Claude Opus 4.5 | Nemotron 4 340B |
|---|---|---|
| Category | Frontier | Open Source |
| Parameters | ~2.5T | 340B |
| Context Window | 200K | 128K |
| Input Price | $0.15/1M tokens | $0.07/1M tokens |
| Output Price | $0.75/1M tokens | $0.12/1M tokens |
| Latency | ~900ms | ~500ms |
Choose Claude Opus 4.5 when:
- ✓ Creative writing
- ✓ Complex analysis
- ✓ Research
Superior creativity, Nuanced reasoning, Complex analysis
Choose Nemotron 4 340B when:
- ✓ Data generation
- ✓ Training data
- ✓ Research
Synthetic data generation, Large scale, Good quality
Verdict: Claude Opus 4.5 vs Nemotron 4 340B
For cost efficiency, Nemotron 4 340B wins at $0.07/1M input tokens. For speed, Nemotron 4 340B is faster at ~500ms. Claude Opus 4.5 excels at Creative writing 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
Claude Opus 4.5 costs $0.15/1M input tokens and $0.75/1M output tokens. Nemotron 4 340B costs $0.07 input and $0.12 output. Nemotron 4 340B is 2.1x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Claude Opus 4.5 has a 200K context window with ~900ms latency. Nemotron 4 340B offers 128K context at ~500ms. Claude Opus 4.5 has the larger context window.
Best For
Claude Opus 4.5 (Frontier) is optimized for: Creative writing, Complex analysis, Research. 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 Claude Opus 4.5
response_a = client.chat.completions.create(
model="claude-opus-4-5",
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"}]
)Frequently Asked Questions
Which is better, Claude Opus 4.5 or Nemotron 4 340B?
Claude Opus 4.5 (Frontier, ~2.5T) offers Superior creativity. Nemotron 4 340B (Open Source, 340B) offers Synthetic data generation. Choose Claude Opus 4.5 for Creative writing or Nemotron 4 340B for Data generation.
How much does Claude Opus 4.5 cost vs Nemotron 4 340B?
Claude Opus 4.5: $0.15/1M input, $0.75/1M 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 Claude Opus 4.5 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.