Gemma 3 4B vs Command A

Compare Gemma 3 4B 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

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Feature Gemma 3 4B Command A
CategoryCompactEnterprise
Parameters4B111B (37B active)
Context Window128K256K
Input Price$0.008/1M tokens$0.025/1M tokens
Output Price$0.015/1M tokens$0.10/1M tokens
Latency~60ms~300ms

Choose Gemma 3 4B when:

  • ✓ Intent detection
  • ✓ Keyword extraction
  • ✓ Preprocessing
Key Strengths:

Ultra-small, Fastest inference, Minimal cost

Choose Command A when:

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

Strong RAG, Agentic, 256K context

Verdict: Gemma 3 4B vs Command A

For cost efficiency, Gemma 3 4B wins at $0.008/1M input tokens. For speed, Command A is faster at ~300ms. Gemma 3 4B excels at Intent detection 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 4B costs $0.008/1M input tokens and $0.015/1M output tokens. Command A costs $0.025 input and $0.10 output. Gemma 3 4B is 3.1x 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. Command A offers 256K context at ~300ms. Command A has the larger context window.

Best For

Gemma 3 4B (Compact) is optimized for: Intent detection, Keyword extraction, Preprocessing. 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 4B
response_a = client.chat.completions.create(
    model="gemma-3-4b",
    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"}]
)

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Gemma 3 4B or Command A?

Gemma 3 4B (Compact, 4B) offers Ultra-small. Command A (Enterprise, 111B (37B active)) offers Strong RAG. Choose Gemma 3 4B for Intent detection or Command A for Enterprise RAG.

How much does Gemma 3 4B cost vs Command A?

Gemma 3 4B: $0.008/1M input, $0.015/1M 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 4B and Command A 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.