Llama 3.2 90B Vision vs DeepSeek R1 Distill 8B

Compare Llama 3.2 90B Vision and DeepSeek R1 Distill 8B: 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 8B
CategoryVisionReasoning
Parameters90B8B
Context Window128K128K
Input Price$0.06/1M tokens$0.01/1M tokens
Output Price$0.10/1M tokens$0.02/1M tokens
Latency~500ms~100ms

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 8B when:

  • ✓ Simple reasoning
  • ✓ Classification with logic
  • ✓ Edge
Key Strengths:

Very fast reasoning, Low cost, Compact

Verdict: Llama 3.2 90B Vision vs DeepSeek R1 Distill 8B

For cost efficiency, DeepSeek R1 Distill 8B wins at $0.01/1M input tokens. For speed, DeepSeek R1 Distill 8B is faster at ~100ms. Llama 3.2 90B Vision excels at Chart image analysis while DeepSeek R1 Distill 8B is better for Simple 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 8B costs $0.01 input and $0.02 output. DeepSeek R1 Distill 8B 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. DeepSeek R1 Distill 8B offers 128K context at ~100ms. 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 8B (Reasoning) works best for: Simple reasoning, Classification with logic, Edge.

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 8B
response_b = client.chat.completions.create(
    model="deepseek-r1-distill-8b",
    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 8B?

Llama 3.2 90B Vision (Vision, 90B) offers Vision + language. DeepSeek R1 Distill 8B (Reasoning, 8B) offers Very fast reasoning. Choose Llama 3.2 90B Vision for Chart image analysis or DeepSeek R1 Distill 8B for Simple reasoning.

How much does Llama 3.2 90B Vision cost vs DeepSeek R1 Distill 8B?

Llama 3.2 90B Vision: $0.06/1M input, $0.10/1M output. DeepSeek R1 Distill 8B: $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 DeepSeek R1 Distill 8B 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.