Llama 3.2 11B Vision vs DeepSeek R1

Compare Llama 3.2 11B Vision and DeepSeek R1: 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 Llama 3.2 11B Vision DeepSeek R1
CategoryVisionReasoning
Parameters11B671B
Context Window128K128K
Input Price$0.02/1M tokens$0.08/1M tokens
Output Price$0.04/1M tokens$0.15/1M tokens
Latency~200ms~800ms

Choose Llama 3.2 11B Vision when:

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

Low cost vision, Fast, Compact

Choose DeepSeek R1 when:

  • ✓ Complex yoga calculations
  • ✓ Dasha analysis
  • ✓ Research-grade analysis
Key Strengths:

Chain-of-thought, Complex calculations, Transparent thinking

Verdict: Llama 3.2 11B Vision vs DeepSeek R1

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. Llama 3.2 11B Vision excels at Image classification while DeepSeek R1 is better for Complex yoga calculations. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

Llama 3.2 11B Vision costs $0.02/1M input tokens and $0.04/1M output tokens. DeepSeek R1 costs $0.08 input and $0.15 output. Llama 3.2 11B Vision is 4.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.2 11B Vision has a 128K context window with ~200ms latency. DeepSeek R1 offers 128K context at ~800ms. Both have identical context windows.

Best For

Llama 3.2 11B Vision (Vision) is optimized for: Image classification, OCR, Simple visual Q&A. DeepSeek R1 (Reasoning) works best for: Complex yoga calculations, Dasha analysis, Research-grade analysis.

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

# Use DeepSeek R1
response_b = client.chat.completions.create(
    model="deepseek-r1",
    messages=[{"role": "user", "content": "Your question here"}]
)

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Llama 3.2 11B Vision or DeepSeek R1?

Llama 3.2 11B Vision (Vision, 11B) offers Low cost vision. DeepSeek R1 (Reasoning, 671B) offers Chain-of-thought. Choose Llama 3.2 11B Vision for Image classification or DeepSeek R1 for Complex yoga calculations.

How much does Llama 3.2 11B Vision cost vs DeepSeek R1?

Llama 3.2 11B Vision: $0.02/1M input, $0.04/1M output. DeepSeek R1: $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 Llama 3.2 11B Vision and DeepSeek R1 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.