Llama 3.1 70B Turbo vs Hunyuan-DiT

Compare Llama 3.1 70B Turbo and Hunyuan-DiT: 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 Llama 3.1 70B Turbo Hunyuan-DiT
CategoryOpen SourceImage
Parameters70B~5B
Context Window128KN/A
Input Price$0.04/1M tokens$0.004/image/1M tokens
Output Price$0.06/1M tokensN/A/1M tokens
Latency~250ms~4s

Choose Llama 3.1 70B Turbo when:

  • ✓ Production APIs
  • ✓ Fast generation
  • ✓ General purpose
Key Strengths:

Fast inference, Good quality, Well-tested

Choose Hunyuan-DiT when:

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

Bilingual text, Good quality, Cultural imagery

Verdict: Llama 3.1 70B Turbo vs Hunyuan-DiT

For cost efficiency, Hunyuan-DiT wins at $0.004/image/1M input tokens. For speed, Llama 3.1 70B Turbo is faster at ~250ms. Llama 3.1 70B Turbo excels at Production APIs while Hunyuan-DiT is better for Bilingual graphics. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

Llama 3.1 70B Turbo costs $0.04/1M input tokens and $0.06/1M output tokens. Hunyuan-DiT costs $0.004/image input and N/A output. Hunyuan-DiT is 10.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.1 70B Turbo has a 128K context window with ~250ms latency. Hunyuan-DiT offers N/A context at ~4s. Llama 3.1 70B Turbo has the larger context window.

Best For

Llama 3.1 70B Turbo (Open Source) is optimized for: Production APIs, Fast generation, General purpose. Hunyuan-DiT (Image) works best for: Bilingual graphics, Cultural content, Marketing.

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 Llama 3.1 70B Turbo
response_a = client.chat.completions.create(
    model="llama-3-1-70b-turbo",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Hunyuan-DiT
response_b = client.chat.completions.create(
    model="hunyuan-dit",
    messages=[{"role": "user", "content": "Your question here"}]
)

Start Building with XALEN

200+ AI models. One API. Pay-as-you-go.

Get API Key Try in Playground

Frequently Asked Questions

Which is better, Llama 3.1 70B Turbo or Hunyuan-DiT?

Llama 3.1 70B Turbo (Open Source, 70B) offers Fast inference. Hunyuan-DiT (Image, ~5B) offers Bilingual text. Choose Llama 3.1 70B Turbo for Production APIs or Hunyuan-DiT for Bilingual graphics.

How much does Llama 3.1 70B Turbo cost vs Hunyuan-DiT?

Llama 3.1 70B Turbo: $0.04/1M input, $0.06/1M output. Hunyuan-DiT: $0.004/image/1M input, N/A/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 Llama 3.1 70B Turbo and Hunyuan-DiT 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.