Llama 3.2 90B Vision vs DeepSeek V2.5

Compare Llama 3.2 90B Vision and DeepSeek V2.5: 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 V2.5
CategoryVisionOpen Source
Parameters90B236B (21B active)
Context Window128K128K
Input Price$0.06/1M tokens$0.04/1M tokens
Output Price$0.10/1M tokens$0.07/1M tokens
Latency~500ms~350ms

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 V2.5 when:

  • ✓ General purpose
  • ✓ Code generation
  • ✓ Legacy apps
Key Strengths:

Proven model, MoE efficient, Good coding

Verdict: Llama 3.2 90B Vision vs DeepSeek V2.5

For cost efficiency, DeepSeek V2.5 wins at $0.04/1M input tokens. For speed, DeepSeek V2.5 is faster at ~350ms. Llama 3.2 90B Vision excels at Chart image analysis while DeepSeek V2.5 is better for General purpose. 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 V2.5 costs $0.04 input and $0.07 output. DeepSeek V2.5 is 1.5x 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 V2.5 offers 128K context at ~350ms. 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 V2.5 (Open Source) works best for: General purpose, Code generation, Legacy apps.

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 V2.5
response_b = client.chat.completions.create(
    model="deepseek-v2-5",
    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 V2.5?

Llama 3.2 90B Vision (Vision, 90B) offers Vision + language. DeepSeek V2.5 (Open Source, 236B (21B active)) offers Proven model. Choose Llama 3.2 90B Vision for Chart image analysis or DeepSeek V2.5 for General purpose.

How much does Llama 3.2 90B Vision cost vs DeepSeek V2.5?

Llama 3.2 90B Vision: $0.06/1M input, $0.10/1M output. DeepSeek V2.5: $0.04/1M input, $0.07/1M 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 V2.5 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.