Gemma 3 4B vs Hunyuan-DiT
Compare Gemma 3 4B 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
| Feature | Gemma 3 4B | Hunyuan-DiT |
|---|---|---|
| Category | Compact | Image |
| Parameters | 4B | ~5B |
| Context Window | 128K | N/A |
| Input Price | $0.008/1M tokens | $0.004/image/1M tokens |
| Output Price | $0.015/1M tokens | N/A/1M tokens |
| Latency | ~60ms | ~4s |
Choose Gemma 3 4B when:
- ✓ Intent detection
- ✓ Keyword extraction
- ✓ Preprocessing
Ultra-small, Fastest inference, Minimal cost
Choose Hunyuan-DiT when:
- ✓ Bilingual graphics
- ✓ Cultural content
- ✓ Marketing
Bilingual text, Good quality, Cultural imagery
Verdict: Gemma 3 4B vs Hunyuan-DiT
For cost efficiency, Hunyuan-DiT wins at $0.004/image/1M input tokens. For speed, Hunyuan-DiT is faster at ~4s. Gemma 3 4B excels at Intent detection 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
Gemma 3 4B costs $0.008/1M input tokens and $0.015/1M output tokens. Hunyuan-DiT costs $0.004/image input and N/A output. Hunyuan-DiT is 2.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Gemma 3 4B has a 128K context window with ~60ms latency. Hunyuan-DiT offers N/A context at ~4s. Gemma 3 4B has the larger context window.
Best For
Gemma 3 4B (Compact) is optimized for: Intent detection, Keyword extraction, 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 Gemma 3 4B
response_a = client.chat.completions.create(
model="gemma-3-4b",
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"}]
)
Frequently Asked Questions
Which is better, Gemma 3 4B or Hunyuan-DiT?
Gemma 3 4B (Compact, 4B) offers Ultra-small. Hunyuan-DiT (Image, ~5B) offers Bilingual text. Choose Gemma 3 4B for Intent detection or Hunyuan-DiT for Bilingual graphics.
How much does Gemma 3 4B cost vs Hunyuan-DiT?
Gemma 3 4B: $0.008/1M input, $0.015/1M 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 Gemma 3 4B 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.