Llama 3.2 11B Vision vs DeepSeek V3

Compare Llama 3.2 11B Vision and DeepSeek V3: 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 V3
CategoryVisionOpen Source
Parameters11B671B (37B active)
Context Window128K128K
Input Price$0.02/1M tokens$0.05/1M tokens
Output Price$0.04/1M tokens$0.09/1M tokens
Latency~200ms~400ms

Choose Llama 3.2 11B Vision when:

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

Low cost vision, Fast, Compact

Choose DeepSeek V3 when:

  • ✓ API response generation
  • ✓ High-volume processing
  • ✓ Code
Key Strengths:

MoE efficiency, Strong coding, Good structured output

Verdict: Llama 3.2 11B Vision vs DeepSeek V3

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 V3 is better for API response generation. 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 V3 costs $0.05 input and $0.09 output. Llama 3.2 11B Vision is 2.5x 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 V3 offers 128K context at ~400ms. Both have identical context windows.

Best For

Llama 3.2 11B Vision (Vision) is optimized for: Image classification, OCR, Simple visual Q&A. DeepSeek V3 (Open Source) works best for: API response generation, High-volume processing, Code.

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 V3
response_b = client.chat.completions.create(
    model="deepseek-v3",
    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, Llama 3.2 11B Vision or DeepSeek V3?

Llama 3.2 11B Vision (Vision, 11B) offers Low cost vision. DeepSeek V3 (Open Source, 671B (37B active)) offers MoE efficiency. Choose Llama 3.2 11B Vision for Image classification or DeepSeek V3 for API response generation.

How much does Llama 3.2 11B Vision cost vs DeepSeek V3?

Llama 3.2 11B Vision: $0.02/1M input, $0.04/1M output. DeepSeek V3: $0.05/1M input, $0.09/1M 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 V3 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.