Llama 3.2 11B Vision vs E5 Large v2

Compare Llama 3.2 11B Vision and E5 Large v2: 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 E5 Large v2
CategoryVisionEmbedding
Parameters11B335M
Context Window128K512
Input Price$0.02/1M tokens$0.002/1M tokens
Output Price$0.04/1M tokensN/A/1M tokens
Latency~200ms~20ms

Choose Llama 3.2 11B Vision when:

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

Low cost vision, Fast, Compact

Choose E5 Large v2 when:

  • ✓ Classical text search
  • ✓ RAG pipelines
  • ✓ Knowledge retrieval
Key Strengths:

1024 dimensions, Fast, Multi-lingual

Verdict: Llama 3.2 11B Vision vs E5 Large v2

For cost efficiency, E5 Large v2 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 E5 Large v2 is better for Classical text 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. E5 Large v2 costs $0.002 input and N/A output. E5 Large v2 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. E5 Large v2 offers 512 context at ~20ms. 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. E5 Large v2 (Embedding) works best for: Classical text search, RAG pipelines, Knowledge retrieval.

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 E5 Large v2
response_b = client.chat.completions.create(
    model="e5-large-v2",
    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 E5 Large v2?

Llama 3.2 11B Vision (Vision, 11B) offers Low cost vision. E5 Large v2 (Embedding, 335M) offers 1024 dimensions. Choose Llama 3.2 11B Vision for Image classification or E5 Large v2 for Classical text search.

How much does Llama 3.2 11B Vision cost vs E5 Large v2?

Llama 3.2 11B Vision: $0.02/1M input, $0.04/1M output. E5 Large v2: $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 E5 Large v2 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.