Llama 3.2 90B Vision vs Qwen 2.5 VL 7B

Compare Llama 3.2 90B Vision and Qwen 2.5 VL 7B: 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 Alibaba models What is an LLM API? Python Quickstart What is inference?
Feature Llama 3.2 90B Vision Qwen 2.5 VL 7B
CategoryVisionVision
Parameters90B7B
Context Window128K128K
Input Price$0.06/1M tokens$0.01/1M tokens
Output Price$0.10/1M tokens$0.02/1M tokens
Latency~500ms~150ms

Choose Llama 3.2 90B Vision when:

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

Vision + language, Open weights, Good reasoning

Choose Qwen 2.5 VL 7B when:

  • ✓ Budget image analysis
  • ✓ Simple OCR
  • ✓ Quick visual Q&A
Key Strengths:

Low cost vision, Asian language OCR, Fast

Verdict: Llama 3.2 90B Vision vs Qwen 2.5 VL 7B

For cost efficiency, Qwen 2.5 VL 7B wins at $0.01/1M input tokens. For speed, Qwen 2.5 VL 7B is faster at ~150ms. Llama 3.2 90B Vision excels at Chart image analysis while Qwen 2.5 VL 7B is better for Budget image analysis. 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. Qwen 2.5 VL 7B costs $0.01 input and $0.02 output. Qwen 2.5 VL 7B is 6.0x 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. Qwen 2.5 VL 7B offers 128K context at ~150ms. Both have identical context windows.

Best For

Llama 3.2 90B Vision (Vision) is optimized for: Chart image analysis, Document scanning, Visual Q&A. Qwen 2.5 VL 7B (Vision) works best for: Budget image analysis, Simple OCR, Quick visual Q&A.

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 Qwen 2.5 VL 7B
response_b = client.chat.completions.create(
    model="qwen-2-5-vl-7b",
    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 Qwen 2.5 VL 7B?

Llama 3.2 90B Vision (Vision, 90B) offers Vision + language. Qwen 2.5 VL 7B (Vision, 7B) offers Low cost vision. Choose Llama 3.2 90B Vision for Chart image analysis or Qwen 2.5 VL 7B for Budget image analysis.

How much does Llama 3.2 90B Vision cost vs Qwen 2.5 VL 7B?

Llama 3.2 90B Vision: $0.06/1M input, $0.10/1M output. Qwen 2.5 VL 7B: $0.01/1M input, $0.02/1M 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 Qwen 2.5 VL 7B 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 Llama 3.2 11B Vision Llama 3.2 90B Vision vs Qwen 2.5 VL 72B Llama 3.2 90B Vision vs Pixtral Large Llama 3.2 90B Vision vs Pixtral 12B Llama 3.2 90B Vision vs InternVL 2.5 78B

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