Llama 3.2 90B Vision vs DeepSeek V3

Compare Llama 3.2 90B Vision and DeepSeek V3: 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 DeepSeek models What is an LLM API? Python Quickstart What is inference?
Feature Llama 3.2 90B Vision DeepSeek V3
CategoryVisionOpen Source
Parameters90B671B (37B active)
Context Window128K128K
Input Price$0.06/1M tokens$0.05/1M tokens
Output Price$0.10/1M tokens$0.09/1M 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 DeepSeek V3 when:

  • ✓ API response generation
  • ✓ High-volume processing
  • ✓ Code
Key Strengths:

MoE efficiency, Strong coding, Good structured output

Verdict: Llama 3.2 90B Vision vs DeepSeek V3

For cost efficiency, DeepSeek V3 wins at $0.05/1M input tokens. For speed, DeepSeek V3 is faster at ~400ms. Llama 3.2 90B Vision excels at Chart image analysis while DeepSeek V3 is better for API response generation. 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 V3 costs $0.05 input and $0.09 output. DeepSeek V3 is 1.2x 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 V3 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. DeepSeek V3 (Open Source) works best for: API response generation, High-volume processing, Code.

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 V3
response_b = client.chat.completions.create(
    model="deepseek-v3",
    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 DeepSeek V3?

Llama 3.2 90B Vision (Vision, 90B) offers Vision + language. DeepSeek V3 (Open Source, 671B (37B active)) offers MoE efficiency. Choose Llama 3.2 90B Vision for Chart image analysis or DeepSeek V3 for API response generation.

How much does Llama 3.2 90B Vision cost vs DeepSeek V3?

Llama 3.2 90B Vision: $0.06/1M input, $0.10/1M output. DeepSeek V3: $0.05/1M input, $0.09/1M 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 V3 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 Gemma 3 27B Llama 3.2 90B Vision vs Llama 4 Scout Llama 3.2 90B Vision vs Llama 4 Maverick Llama 3.2 90B Vision vs Llama 3.3 70B Llama 3.2 90B Vision vs Llama 3.1 405B

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