o4-mini vs Llama 3.2 11B Vision

Compare o4-mini 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 o4-mini Llama 3.2 11B Vision
CategoryReasoningVision
Parameters~200B11B
Context Window200K128K
Input Price$0.03/1M tokens$0.02/1M tokens
Output Price$0.12/1M tokens$0.04/1M tokens
Latency~800ms~200ms

Choose o4-mini when:

  • ✓ Kundali scoring
  • ✓ Compatibility analysis
  • ✓ Decision systems
Key Strengths:

Fast reasoning, Cost-efficient, 200K context

Choose Llama 3.2 11B Vision when:

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

Low cost vision, Fast, Compact

Verdict: o4-mini vs Llama 3.2 11B Vision

For cost efficiency, Llama 3.2 11B Vision wins at $0.02/1M input tokens. For speed, Llama 3.2 11B Vision is faster at ~200ms. o4-mini excels at Kundali scoring 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

o4-mini costs $0.03/1M input tokens and $0.12/1M output tokens. Llama 3.2 11B Vision costs $0.02 input and $0.04 output. Llama 3.2 11B Vision is 1.5x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

o4-mini has a 200K context window with ~800ms latency. Llama 3.2 11B Vision offers 128K context at ~200ms. o4-mini has the larger context window.

Best For

o4-mini (Reasoning) is optimized for: Kundali scoring, Compatibility analysis, Decision systems. 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 o4-mini
response_a = client.chat.completions.create(
    model="o4-mini",
    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"}]
)

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, o4-mini or Llama 3.2 11B Vision?

o4-mini (Reasoning, ~200B) offers Fast reasoning. Llama 3.2 11B Vision (Vision, 11B) offers Low cost vision. Choose o4-mini for Kundali scoring or Llama 3.2 11B Vision for Image classification.

How much does o4-mini cost vs Llama 3.2 11B Vision?

o4-mini: $0.03/1M input, $0.12/1M 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 o4-mini 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.