Gemma 3 12B vs DeepSeek R1 0528

Compare Gemma 3 12B and DeepSeek R1 0528: 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 Gemma 3 12B DeepSeek R1 0528
CategoryCompactReasoning
Parameters12B671B
Context Window128K128K
Input Price$0.015/1M tokens$0.08/1M tokens
Output Price$0.03/1M tokens$0.15/1M tokens
Latency~100ms~800ms

Choose Gemma 3 12B when:

  • ✓ Edge deployments
  • ✓ Classification
  • ✓ Simple chatbots
Key Strengths:

Very compact, Fast, Low cost

Choose DeepSeek R1 0528 when:

  • ✓ Calculation verification
  • ✓ Classical text analysis
  • ✓ Quality-critical
Key Strengths:

Improved accuracy, Reduced hallucination, Strong math

Verdict: Gemma 3 12B vs DeepSeek R1 0528

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 DeepSeek R1 0528 is better for Calculation verification. 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. DeepSeek R1 0528 costs $0.08 input and $0.15 output. Gemma 3 12B is 5.3x 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. DeepSeek R1 0528 offers 128K context at ~800ms. Both have identical context windows.

Best For

Gemma 3 12B (Compact) is optimized for: Edge deployments, Classification, Simple chatbots. DeepSeek R1 0528 (Reasoning) works best for: Calculation verification, Classical text analysis, Quality-critical.

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 DeepSeek R1 0528
response_b = client.chat.completions.create(
    model="deepseek-r1-0528",
    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, Gemma 3 12B or DeepSeek R1 0528?

Gemma 3 12B (Compact, 12B) offers Very compact. DeepSeek R1 0528 (Reasoning, 671B) offers Improved accuracy. Choose Gemma 3 12B for Edge deployments or DeepSeek R1 0528 for Calculation verification.

How much does Gemma 3 12B cost vs DeepSeek R1 0528?

Gemma 3 12B: $0.015/1M input, $0.03/1M output. DeepSeek R1 0528: $0.08/1M input, $0.15/1M 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 DeepSeek R1 0528 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.