Llama 3.2 90B Vision vs FLUX 1.1 Pro Ultra

Compare Llama 3.2 90B Vision and FLUX 1.1 Pro Ultra: 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 Black Forest Labs models What is an LLM API? Python Quickstart What is inference?
Feature Llama 3.2 90B Vision FLUX 1.1 Pro Ultra
CategoryVisionImage
Parameters90B~30B
Context Window128KN/A
Input Price$0.06/1M tokens$0.06/image/1M tokens
Output Price$0.10/1M tokensN/A/1M tokens
Latency~500ms~6s

Choose Llama 3.2 90B Vision when:

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

Vision + language, Open weights, Good reasoning

Choose FLUX 1.1 Pro Ultra when:

  • ✓ Print-quality imagery
  • ✓ Ultra-HD content
  • ✓ Professional art
Key Strengths:

Ultra quality, 4K output, Best detail

Verdict: Llama 3.2 90B Vision vs FLUX 1.1 Pro Ultra

For cost efficiency, FLUX 1.1 Pro Ultra wins at $0.06/image/1M input tokens. For speed, Llama 3.2 90B Vision is faster at ~500ms. Llama 3.2 90B Vision excels at Chart image analysis while FLUX 1.1 Pro Ultra is better for Print-quality 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. FLUX 1.1 Pro Ultra costs $0.06/image input and N/A output. Both models are similarly priced. 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. FLUX 1.1 Pro Ultra offers N/A context at ~6s. 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. FLUX 1.1 Pro Ultra (Image) works best for: Print-quality imagery, Ultra-HD content, Professional art.

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 FLUX 1.1 Pro Ultra
response_b = client.chat.completions.create(
    model="flux-1-1-pro-ultra",
    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 FLUX 1.1 Pro Ultra?

Llama 3.2 90B Vision (Vision, 90B) offers Vision + language. FLUX 1.1 Pro Ultra (Image, ~30B) offers Ultra quality. Choose Llama 3.2 90B Vision for Chart image analysis or FLUX 1.1 Pro Ultra for Print-quality imagery.

How much does Llama 3.2 90B Vision cost vs FLUX 1.1 Pro Ultra?

Llama 3.2 90B Vision: $0.06/1M input, $0.10/1M output. FLUX 1.1 Pro Ultra: $0.06/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 FLUX 1.1 Pro Ultra 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.