Llama 3.2 11B Vision vs Voyage Large 2

Compare Llama 3.2 11B Vision and Voyage Large 2: 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 Voyage Large 2
CategoryVisionEmbedding
Parameters11B~500M
Context Window128K16K
Input Price$0.02/1M tokens$0.002/1M tokens
Output Price$0.04/1M tokensN/A/1M tokens
Latency~200ms~25ms

Choose Llama 3.2 11B Vision when:

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

Low cost vision, Fast, Compact

Choose Voyage Large 2 when:

  • ✓ Code search
  • ✓ Long document RAG
  • ✓ Semantic matching
Key Strengths:

16K context, High quality, Good for code

Verdict: Llama 3.2 11B Vision vs Voyage Large 2

For cost efficiency, Voyage Large 2 wins at $0.002/1M input tokens. For speed, Llama 3.2 11B Vision is faster at ~200ms. Llama 3.2 11B Vision excels at Image classification while Voyage Large 2 is better for Code search. 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. Voyage Large 2 costs $0.002 input and N/A output. Voyage Large 2 is 10.0x 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. Voyage Large 2 offers 16K context at ~25ms. Llama 3.2 11B Vision has the larger context window.

Best For

Llama 3.2 11B Vision (Vision) is optimized for: Image classification, OCR, Simple visual Q&A. Voyage Large 2 (Embedding) works best for: Code search, Long document RAG, Semantic matching.

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 Voyage Large 2
response_b = client.chat.completions.create(
    model="voyage-large-2",
    messages=[{"role": "user", "content": "Your question here"}]
)

Start Building with XALEN

200+ AI models. One API. Pay-as-you-go.

Get API Key Try in Playground

Frequently Asked Questions

Which is better, Llama 3.2 11B Vision or Voyage Large 2?

Llama 3.2 11B Vision (Vision, 11B) offers Low cost vision. Voyage Large 2 (Embedding, ~500M) offers 16K context. Choose Llama 3.2 11B Vision for Image classification or Voyage Large 2 for Code search.

How much does Llama 3.2 11B Vision cost vs Voyage Large 2?

Llama 3.2 11B Vision: $0.02/1M input, $0.04/1M output. Voyage Large 2: $0.002/1M input, N/A/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 Voyage Large 2 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.