Gemma 3 12B vs Command A

Compare Gemma 3 12B and Command A: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.

Updated 2026-05-21 · By Abhishek Raj · Our methodology

All Google models All Cohere models What is an LLM API? Python Quickstart What is inference?
Feature Gemma 3 12B Command A
CategoryCompactEnterprise
Parameters12B111B (37B active)
Context Window128K256K
Input Price$0.015/1M tokens$0.025/1M tokens
Output Price$0.03/1M tokens$0.10/1M tokens
Latency~100ms~300ms

Choose Gemma 3 12B when:

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

Very compact, Fast, Low cost

Choose Command A when:

  • ✓ Enterprise RAG
  • ✓ Document Q&A
  • ✓ Agentic workflows
Key Strengths:

Strong RAG, Agentic, 256K context

Verdict: Gemma 3 12B vs Command A

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 Command A is better for Enterprise RAG. 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. Command A costs $0.025 input and $0.10 output. Gemma 3 12B is 1.7x 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. Command A offers 256K context at ~300ms. Command A has the larger context window.

Best For

Gemma 3 12B (Compact) is optimized for: Edge deployments, Classification, Simple chatbots. Command A (Enterprise) works best for: Enterprise RAG, Document Q&A, Agentic workflows.

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 Command A
response_b = client.chat.completions.create(
    model="command-a",
    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 Command A?

Gemma 3 12B (Compact, 12B) offers Very compact. Command A (Enterprise, 111B (37B active)) offers Strong RAG. Choose Gemma 3 12B for Edge deployments or Command A for Enterprise RAG.

How much does Gemma 3 12B cost vs Command A?

Gemma 3 12B: $0.015/1M input, $0.03/1M output. Command A: $0.025/1M input, $0.10/1M 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 Command A by changing the model parameter. No code changes needed.

Related Comparisons

Gemma 3 12B vs GPT-4.1 Nano Gemma 3 12B vs GPT-4o Mini Gemma 3 12B vs Claude Haiku 3.5 Gemma 3 12B vs Gemma 3 4B Gemma 3 12B vs Gemini 2.5 Flash Lite Gemma 3 12B vs Llama 3.1 8B Turbo

Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.