Llama 3.2 11B Vision vs Deepgram Nova 3

Compare Llama 3.2 11B Vision and Deepgram Nova 3: 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 11B Vision Deepgram Nova 3
CategoryVisionSpeech
Parameters11B~1B
Context Window128KStreaming
Input Price$0.02/1M tokens$0.004/min/1M tokens
Output Price$0.04/1M tokensN/A/1M tokens
Latency~200ms~100ms

Choose Llama 3.2 11B Vision when:

  • ✓ Image classification
  • ✓ OCR
  • ✓ Simple visual Q&A
Key Strengths:

Low cost vision, Fast, Compact

Choose Deepgram Nova 3 when:

  • ✓ Real-time transcription
  • ✓ Call centers
  • ✓ Meeting notes
Key Strengths:

Ultra-low latency, Streaming native, Very cheap

Verdict: Llama 3.2 11B Vision vs Deepgram Nova 3

For cost efficiency, Deepgram Nova 3 wins at $0.004/min/1M input tokens. For speed, Deepgram Nova 3 is faster at ~100ms. Llama 3.2 11B Vision excels at Image classification while Deepgram Nova 3 is better for Real-time transcription. 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 11B Vision costs $0.02/1M input tokens and $0.04/1M output tokens. Deepgram Nova 3 costs $0.004/min input and N/A output. Deepgram Nova 3 is 5.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.2 11B Vision has a 128K context window with ~200ms latency. Deepgram Nova 3 offers Streaming context at ~100ms. Both have identical context windows.

Best For

Llama 3.2 11B Vision (Vision) is optimized for: Image classification, OCR, Simple visual Q&A. Deepgram Nova 3 (Speech) works best for: Real-time transcription, Call centers, Meeting notes.

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 11B Vision
response_a = client.chat.completions.create(
    model="llama-3-2-11b-vision",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Deepgram Nova 3
response_b = client.chat.completions.create(
    model="deepgram-nova-3",
    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 11B Vision or Deepgram Nova 3?

Llama 3.2 11B Vision (Vision, 11B) offers Low cost vision. Deepgram Nova 3 (Speech, ~1B) offers Ultra-low latency. Choose Llama 3.2 11B Vision for Image classification or Deepgram Nova 3 for Real-time transcription.

How much does Llama 3.2 11B Vision cost vs Deepgram Nova 3?

Llama 3.2 11B Vision: $0.02/1M input, $0.04/1M output. Deepgram Nova 3: $0.004/min/1M input, N/A/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 11B Vision and Deepgram Nova 3 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.