Gemma 3 12B vs Gemini 2.5 Pro Preview
Compare Gemma 3 12B and Gemini 2.5 Pro Preview: 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 12B | Gemini 2.5 Pro Preview |
|---|---|---|
| Category | Compact | Frontier |
| Parameters | 12B | ~1.5T |
| Context Window | 128K | 2M |
| Input Price | $0.015/1M tokens | $0.07/1M tokens |
| Output Price | $0.03/1M tokens | $0.21/1M tokens |
| Latency | ~100ms | ~700ms |
Choose Gemma 3 12B when:
- ✓ Edge deployments
- ✓ Classification
- ✓ Simple chatbots
Very compact, Fast, Low cost
Choose Gemini 2.5 Pro Preview when:
- ✓ Research
- ✓ Long analysis
- ✓ Testing new capabilities
2M context, Experimental features, Strong reasoning
Verdict: Gemma 3 12B vs Gemini 2.5 Pro Preview
For cost efficiency, Gemma 3 12B wins at $0.015/1M input tokens. For speed, Gemma 3 12B is faster at ~100ms. Gemma 3 12B excels at Edge deployments while Gemini 2.5 Pro Preview is better for Research. 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 12B costs $0.015/1M input tokens and $0.03/1M output tokens. Gemini 2.5 Pro Preview costs $0.07 input and $0.21 output. Gemma 3 12B is 4.7x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Gemma 3 12B has a 128K context window with ~100ms latency. Gemini 2.5 Pro Preview offers 2M context at ~700ms. Gemini 2.5 Pro Preview has the larger context window.
Best For
Gemma 3 12B (Compact) is optimized for: Edge deployments, Classification, Simple chatbots. Gemini 2.5 Pro Preview (Frontier) works best for: Research, Long analysis, Testing new capabilities.
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 12B
response_a = client.chat.completions.create(
model="gemma-3-12b",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use Gemini 2.5 Pro Preview
response_b = client.chat.completions.create(
model="gemini-2-5-pro-preview",
messages=[{"role": "user", "content": "Your question here"}]
)
Frequently Asked Questions
Which is better, Gemma 3 12B or Gemini 2.5 Pro Preview?
Gemma 3 12B (Compact, 12B) offers Very compact. Gemini 2.5 Pro Preview (Frontier, ~1.5T) offers 2M context. Choose Gemma 3 12B for Edge deployments or Gemini 2.5 Pro Preview for Research.
How much does Gemma 3 12B cost vs Gemini 2.5 Pro Preview?
Gemma 3 12B: $0.015/1M input, $0.03/1M output. Gemini 2.5 Pro Preview: $0.07/1M input, $0.21/1M 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 12B and Gemini 2.5 Pro Preview 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.