Llama 3.2 3B vs Hunyuan-DiT

Compare Llama 3.2 3B 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 3.2 3B Hunyuan-DiT
CategoryCompactImage
Parameters3B~5B
Context Window128KN/A
Input Price$0.006/1M tokens$0.004/image/1M tokens
Output Price$0.012/1M tokensN/A/1M tokens
Latency~40ms~4s

Choose Llama 3.2 3B when:

  • ✓ Mobile apps
  • ✓ Edge inference
  • ✓ Preprocessing
Key Strengths:

Ultra-small, Edge-ready, Minimal latency

Choose Hunyuan-DiT when:

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

Bilingual text, Good quality, Cultural imagery

Verdict: Llama 3.2 3B vs Hunyuan-DiT

For cost efficiency, Hunyuan-DiT wins at $0.004/image/1M input tokens. For speed, Llama 3.2 3B is faster at ~40ms. Llama 3.2 3B excels at Mobile apps 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 3.2 3B costs $0.006/1M input tokens and $0.012/1M output tokens. Hunyuan-DiT costs $0.004/image input and N/A output. Hunyuan-DiT is 1.5x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.2 3B has a 128K context window with ~40ms latency. Hunyuan-DiT offers N/A context at ~4s. Llama 3.2 3B has the larger context window.

Best For

Llama 3.2 3B (Compact) is optimized for: Mobile apps, Edge inference, Preprocessing. 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 3.2 3B
response_a = client.chat.completions.create(
    model="llama-3-2-3b",
    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

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Llama 3.2 3B or Hunyuan-DiT?

Llama 3.2 3B (Compact, 3B) offers Ultra-small. Hunyuan-DiT (Image, ~5B) offers Bilingual text. Choose Llama 3.2 3B for Mobile apps or Hunyuan-DiT for Bilingual graphics.

How much does Llama 3.2 3B cost vs Hunyuan-DiT?

Llama 3.2 3B: $0.006/1M input, $0.012/1M 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 3.2 3B 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.