Hunyuan-DiT vs Arctic Large

Compare Hunyuan-DiT and Arctic Large: 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 Hunyuan-DiT Arctic Large
CategoryImageEnterprise
Parameters~5B480B (17B active)
Context WindowN/A128K
Input Price$0.004/image/1M tokens$0.06/1M tokens
Output PriceN/A/1M tokens$0.10/1M tokens
Latency~4s~400ms

Choose Hunyuan-DiT when:

  • ✓ Bilingual graphics
  • ✓ Cultural content
  • ✓ Marketing
Key Strengths:

Bilingual text, Good quality, Cultural imagery

Choose Arctic Large when:

  • ✓ Data analysis
  • ✓ SQL generation
  • ✓ Business intelligence
Key Strengths:

Strong SQL, Data analysis, Enterprise features

Verdict: Hunyuan-DiT vs Arctic Large

For cost efficiency, Hunyuan-DiT wins at $0.004/image/1M input tokens. For speed, Arctic Large is faster at ~400ms. Hunyuan-DiT excels at Bilingual graphics while Arctic Large is better for Data analysis. 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. Arctic Large costs $0.06 input and $0.10 output. Hunyuan-DiT is 15.0x 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. Arctic Large offers 128K context at ~400ms. Arctic Large has the larger context window.

Best For

Hunyuan-DiT (Image) is optimized for: Bilingual graphics, Cultural content, Marketing. Arctic Large (Enterprise) works best for: Data analysis, SQL generation, Business intelligence.

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 Arctic Large
response_b = client.chat.completions.create(
    model="arctic-large",
    messages=[{"role": "user", "content": "Your question here"}]
)

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Hunyuan-DiT or Arctic Large?

Hunyuan-DiT (Image, ~5B) offers Bilingual text. Arctic Large (Enterprise, 480B (17B active)) offers Strong SQL. Choose Hunyuan-DiT for Bilingual graphics or Arctic Large for Data analysis.

How much does Hunyuan-DiT cost vs Arctic Large?

Hunyuan-DiT: $0.004/image/1M input, N/A/1M output. Arctic Large: $0.06/1M input, $0.10/1M 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 Arctic Large 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.