Llama 3.2 90B Vision vs QwQ 32B

Compare Llama 3.2 90B Vision and QwQ 32B: 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 90B Vision QwQ 32B
CategoryVisionReasoning
Parameters90B32B
Context Window128K128K
Input Price$0.06/1M tokens$0.03/1M tokens
Output Price$0.10/1M tokens$0.06/1M tokens
Latency~500ms~400ms

Choose Llama 3.2 90B Vision when:

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

Vision + language, Open weights, Good reasoning

Choose QwQ 32B when:

  • ✓ Math reasoning
  • ✓ Logic tasks
  • ✓ Analysis
Key Strengths:

Strong reasoning, Compact for reasoning, Cost-efficient

Verdict: Llama 3.2 90B Vision vs QwQ 32B

For cost efficiency, QwQ 32B wins at $0.03/1M input tokens. For speed, QwQ 32B is faster at ~400ms. Llama 3.2 90B Vision excels at Chart image analysis while QwQ 32B is better for Math reasoning. 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. QwQ 32B costs $0.03 input and $0.06 output. QwQ 32B is 2.0x 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. QwQ 32B offers 128K context at ~400ms. Both have identical context windows.

Best For

Llama 3.2 90B Vision (Vision) is optimized for: Chart image analysis, Document scanning, Visual Q&A. QwQ 32B (Reasoning) works best for: Math reasoning, Logic tasks, Analysis.

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 QwQ 32B
response_b = client.chat.completions.create(
    model="qwq-32b",
    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 90B Vision or QwQ 32B?

Llama 3.2 90B Vision (Vision, 90B) offers Vision + language. QwQ 32B (Reasoning, 32B) offers Strong reasoning. Choose Llama 3.2 90B Vision for Chart image analysis or QwQ 32B for Math reasoning.

How much does Llama 3.2 90B Vision cost vs QwQ 32B?

Llama 3.2 90B Vision: $0.06/1M input, $0.10/1M output. QwQ 32B: $0.03/1M input, $0.06/1M 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 QwQ 32B 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.