Llama 3.2 11B Vision vs Meshy v4

Compare Llama 3.2 11B Vision and Meshy v4: 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 Meshy v4
CategoryVision3D
Parameters11B~3B
Context Window128KN/A
Input Price$0.02/1M tokens$0.10/model/1M tokens
Output Price$0.04/1M tokensN/A/1M tokens
Latency~200ms~60s

Choose Llama 3.2 11B Vision when:

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

Low cost vision, Fast, Compact

Choose Meshy v4 when:

  • ✓ 3D asset creation
  • ✓ Game assets
  • ✓ Product visualization
Key Strengths:

3D model output, PBR textures, Multiple formats

Verdict: Llama 3.2 11B Vision vs Meshy v4

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 Meshy v4 is better for 3D asset creation. 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. Meshy v4 costs $0.10/model input and N/A output. Llama 3.2 11B Vision is 5.0x 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. Meshy v4 offers N/A context at ~60s. 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. Meshy v4 (3D) works best for: 3D asset creation, Game assets, Product visualization.

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 Meshy v4
response_b = client.chat.completions.create(
    model="meshy-4",
    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 Meshy v4?

Llama 3.2 11B Vision (Vision, 11B) offers Low cost vision. Meshy v4 (3D, ~3B) offers 3D model output. Choose Llama 3.2 11B Vision for Image classification or Meshy v4 for 3D asset creation.

How much does Llama 3.2 11B Vision cost vs Meshy v4?

Llama 3.2 11B Vision: $0.02/1M input, $0.04/1M output. Meshy v4: $0.10/model/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 Meshy v4 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.