Hunyuan-DiT vs Nemotron 4 340B
Compare Hunyuan-DiT 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 | Hunyuan-DiT | Nemotron 4 340B |
|---|---|---|
| Category | Image | Open Source |
| Parameters | ~5B | 340B |
| Context Window | N/A | 128K |
| Input Price | $0.004/image/1M tokens | $0.07/1M tokens |
| Output Price | N/A/1M tokens | $0.12/1M tokens |
| Latency | ~4s | ~500ms |
Choose Hunyuan-DiT when:
- ✓ Bilingual graphics
- ✓ Cultural content
- ✓ Marketing
Bilingual text, Good quality, Cultural imagery
Choose Nemotron 4 340B when:
- ✓ Data generation
- ✓ Training data
- ✓ Research
Synthetic data generation, Large scale, Good quality
Verdict: Hunyuan-DiT vs Nemotron 4 340B
For cost efficiency, Hunyuan-DiT wins at $0.004/image/1M input tokens. For speed, Hunyuan-DiT is faster at ~4s. Hunyuan-DiT excels at Bilingual graphics 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
Hunyuan-DiT costs $0.004/image/1M input tokens and N/A/1M output tokens. Nemotron 4 340B costs $0.07 input and $0.12 output. Hunyuan-DiT is 17.5x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Hunyuan-DiT has a N/A context window with ~4s latency. Nemotron 4 340B offers 128K context at ~500ms. Nemotron 4 340B has the larger context window.
Best For
Hunyuan-DiT (Image) is optimized for: Bilingual graphics, Cultural content, Marketing. 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 Hunyuan-DiT
response_a = client.chat.completions.create(
model="hunyuan-dit",
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, Hunyuan-DiT or Nemotron 4 340B?
Hunyuan-DiT (Image, ~5B) offers Bilingual text. Nemotron 4 340B (Open Source, 340B) offers Synthetic data generation. Choose Hunyuan-DiT for Bilingual graphics or Nemotron 4 340B for Data generation.
How much does Hunyuan-DiT cost vs Nemotron 4 340B?
Hunyuan-DiT: $0.004/image/1M input, N/A/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 Hunyuan-DiT and Nemotron 4 340B by changing the model parameter. No code changes needed.
Related Comparisons
Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.