Llama 3.2 11B Vision vs Qwen 3 30B

Compare Llama 3.2 11B Vision and Qwen 3 30B: 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 Qwen 3 30B
CategoryVisionOpen Source
Parameters11B30B
Context Window128K128K
Input Price$0.02/1M tokens$0.03/1M tokens
Output Price$0.04/1M tokens$0.05/1M tokens
Latency~200ms~200ms

Choose Llama 3.2 11B Vision when:

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

Low cost vision, Fast, Compact

Choose Qwen 3 30B when:

  • ✓ Cost-sensitive chatbots
  • ✓ Regional apps
  • ✓ Batch
Key Strengths:

Compact, Strong Indic languages, Cost-efficient

Verdict: Llama 3.2 11B Vision vs Qwen 3 30B

For cost efficiency, Llama 3.2 11B Vision wins at $0.02/1M input tokens. For speed, Qwen 3 30B is faster at ~200ms. Llama 3.2 11B Vision excels at Image classification while Qwen 3 30B is better for Cost-sensitive chatbots. 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. Qwen 3 30B costs $0.03 input and $0.05 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

Llama 3.2 11B Vision has a 128K context window with ~200ms latency. Qwen 3 30B offers 128K context at ~200ms. Both have identical context windows.

Best For

Llama 3.2 11B Vision (Vision) is optimized for: Image classification, OCR, Simple visual Q&A. Qwen 3 30B (Open Source) works best for: Cost-sensitive chatbots, Regional apps, Batch.

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 Qwen 3 30B
response_b = client.chat.completions.create(
    model="qwen-3-30b",
    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 Qwen 3 30B?

Llama 3.2 11B Vision (Vision, 11B) offers Low cost vision. Qwen 3 30B (Open Source, 30B) offers Compact. Choose Llama 3.2 11B Vision for Image classification or Qwen 3 30B for Cost-sensitive chatbots.

How much does Llama 3.2 11B Vision cost vs Qwen 3 30B?

Llama 3.2 11B Vision: $0.02/1M input, $0.04/1M output. Qwen 3 30B: $0.03/1M input, $0.05/1M 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 Qwen 3 30B 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.