Gemma 3 12B vs Llama 3.2 11B Vision

Compare Gemma 3 12B and Llama 3.2 11B Vision: 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 Llama 3.2 11B Vision
CategoryCompactVision
Parameters12B11B
Context Window128K128K
Input Price$0.015/1M tokens$0.02/1M tokens
Output Price$0.03/1M tokens$0.04/1M tokens
Latency~100ms~200ms

Choose Gemma 3 12B when:

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

Very compact, Fast, Low cost

Choose Llama 3.2 11B Vision when:

  • ✓ Image classification
  • ✓ OCR
  • ✓ Simple visual Q&A
Key Strengths:

Low cost vision, Fast, Compact

Verdict: Gemma 3 12B vs Llama 3.2 11B Vision

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 Llama 3.2 11B Vision is better for Image classification. 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. Llama 3.2 11B Vision costs $0.02 input and $0.04 output. Gemma 3 12B is 1.3x 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. Llama 3.2 11B Vision offers 128K context at ~200ms. Both have identical context windows.

Best For

Gemma 3 12B (Compact) is optimized for: Edge deployments, Classification, Simple chatbots. Llama 3.2 11B Vision (Vision) works best for: Image classification, OCR, Simple visual Q&A.

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 Llama 3.2 11B Vision
response_b = client.chat.completions.create(
    model="llama-3-2-11b-vision",
    messages=[{"role": "user", "content": "Your question here"}]
)

Start Building with XALEN

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Gemma 3 12B or Llama 3.2 11B Vision?

Gemma 3 12B (Compact, 12B) offers Very compact. Llama 3.2 11B Vision (Vision, 11B) offers Low cost vision. Choose Gemma 3 12B for Edge deployments or Llama 3.2 11B Vision for Image classification.

How much does Gemma 3 12B cost vs Llama 3.2 11B Vision?

Gemma 3 12B: $0.015/1M input, $0.03/1M output. Llama 3.2 11B Vision: $0.02/1M input, $0.04/1M 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 Llama 3.2 11B Vision 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.