Llama 3.2 90B Vision vs SD 3.5 Medium

Compare Llama 3.2 90B Vision and SD 3.5 Medium: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.

Updated 2026-05-21 · By Abhishek Raj · Our methodology

All Meta models All Stability AI models What is an LLM API? Python Quickstart What is inference?
Feature Llama 3.2 90B Vision SD 3.5 Medium
CategoryVisionImage
Parameters90B2.5B
Context Window128KN/A
Input Price$0.06/1M tokens$0.003/image/1M tokens
Output Price$0.10/1M tokensN/A/1M tokens
Latency~500ms~2s

Choose Llama 3.2 90B Vision when:

  • ✓ Chart image analysis
  • ✓ Document scanning
  • ✓ Visual Q&A
Key Strengths:

Vision + language, Open weights, Good reasoning

Choose SD 3.5 Medium when:

  • ✓ General imagery
  • ✓ Batch generation
  • ✓ Prototyping
Key Strengths:

Good quality, Fast, Open weights

Verdict: Llama 3.2 90B Vision vs SD 3.5 Medium

For cost efficiency, SD 3.5 Medium wins at $0.003/image/1M input tokens. For speed, SD 3.5 Medium is faster at ~2s. Llama 3.2 90B Vision excels at Chart image analysis while SD 3.5 Medium is better for General imagery. 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 90B Vision costs $0.06/1M input tokens and $0.10/1M output tokens. SD 3.5 Medium costs $0.003/image input and N/A output. SD 3.5 Medium is 20.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.2 90B Vision has a 128K context window with ~500ms latency. SD 3.5 Medium offers N/A context at ~2s. Llama 3.2 90B Vision has the larger context window.

Best For

Llama 3.2 90B Vision (Vision) is optimized for: Chart image analysis, Document scanning, Visual Q&A. SD 3.5 Medium (Image) works best for: General imagery, Batch generation, Prototyping.

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 90B Vision
response_a = client.chat.completions.create(
    model="llama-3-2-90b-vision",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use SD 3.5 Medium
response_b = client.chat.completions.create(
    model="stable-diffusion-3-5-medium",
    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 90B Vision or SD 3.5 Medium?

Llama 3.2 90B Vision (Vision, 90B) offers Vision + language. SD 3.5 Medium (Image, 2.5B) offers Good quality. Choose Llama 3.2 90B Vision for Chart image analysis or SD 3.5 Medium for General imagery.

How much does Llama 3.2 90B Vision cost vs SD 3.5 Medium?

Llama 3.2 90B Vision: $0.06/1M input, $0.10/1M output. SD 3.5 Medium: $0.003/image/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 90B Vision and SD 3.5 Medium by changing the model parameter. No code changes needed.

Related Comparisons

Llama 3.2 90B Vision vs Vedika Vision Llama 3.2 90B Vision vs DALL-E 3 Llama 3.2 90B Vision vs Imagen 3 Llama 3.2 90B Vision vs Llama 3.2 11B Vision Llama 3.2 90B Vision vs Qwen 2.5 VL 72B Llama 3.2 90B Vision vs Qwen 2.5 VL 7B

Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.