Llama 3.2 90B Vision vs DeepSeek R1 Distill 32B

Compare Llama 3.2 90B Vision and DeepSeek R1 Distill 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 DeepSeek R1 Distill 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~250ms

Choose Llama 3.2 90B Vision when:

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

Vision + language, Open weights, Good reasoning

Choose DeepSeek R1 Distill 32B when:

  • ✓ Production reasoning
  • ✓ Analysis
  • ✓ Structured tasks
Key Strengths:

Good reasoning, Moderate cost, Fast

Verdict: Llama 3.2 90B Vision vs DeepSeek R1 Distill 32B

For cost efficiency, DeepSeek R1 Distill 32B wins at $0.03/1M input tokens. For speed, DeepSeek R1 Distill 32B is faster at ~250ms. Llama 3.2 90B Vision excels at Chart image analysis while DeepSeek R1 Distill 32B is better for Production 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. DeepSeek R1 Distill 32B costs $0.03 input and $0.06 output. DeepSeek R1 Distill 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. DeepSeek R1 Distill 32B offers 128K context at ~250ms. Both have identical context windows.

Best For

Llama 3.2 90B Vision (Vision) is optimized for: Chart image analysis, Document scanning, Visual Q&A. DeepSeek R1 Distill 32B (Reasoning) works best for: Production reasoning, Analysis, Structured tasks.

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 DeepSeek R1 Distill 32B
response_b = client.chat.completions.create(
    model="deepseek-r1-distill-32b",
    messages=[{"role": "user", "content": "Your question here"}]
)

Start Building with XALEN

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Llama 3.2 90B Vision or DeepSeek R1 Distill 32B?

Llama 3.2 90B Vision (Vision, 90B) offers Vision + language. DeepSeek R1 Distill 32B (Reasoning, 32B) offers Good reasoning. Choose Llama 3.2 90B Vision for Chart image analysis or DeepSeek R1 Distill 32B for Production reasoning.

How much does Llama 3.2 90B Vision cost vs DeepSeek R1 Distill 32B?

Llama 3.2 90B Vision: $0.06/1M input, $0.10/1M output. DeepSeek R1 Distill 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 DeepSeek R1 Distill 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.