Llama 4 Scout vs AssemblyAI Universal 2

Compare Llama 4 Scout and AssemblyAI Universal 2: 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 AssemblyAI models What is an LLM API? Python Quickstart What is inference?
Feature Llama 4 Scout AssemblyAI Universal 2
CategoryOpen SourceSpeech
Parameters109B (17B active)~2B
Context Window512KLong-form
Input Price$0.05/1M tokens$0.006/min/1M tokens
Output Price$0.08/1M tokensN/A/1M tokens
Latency~350ms~150ms

Choose Llama 4 Scout when:

  • ✓ Classical text analysis
  • ✓ Long content
  • ✓ Multi-turn
Key Strengths:

512K context, MoE efficiency, Strong multilingual

Choose AssemblyAI Universal 2 when:

  • ✓ Meeting transcription
  • ✓ Podcast processing
  • ✓ Content indexing
Key Strengths:

High accuracy, Speaker diarization, Summarization

Verdict: Llama 4 Scout vs AssemblyAI Universal 2

For cost efficiency, AssemblyAI Universal 2 wins at $0.006/min/1M input tokens. For speed, AssemblyAI Universal 2 is faster at ~150ms. Llama 4 Scout excels at Classical text analysis while AssemblyAI Universal 2 is better for Meeting 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 4 Scout costs $0.05/1M input tokens and $0.08/1M output tokens. AssemblyAI Universal 2 costs $0.006/min input and N/A output. AssemblyAI Universal 2 is 8.3x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 4 Scout has a 512K context window with ~350ms latency. AssemblyAI Universal 2 offers Long-form context at ~150ms. Both have identical context windows.

Best For

Llama 4 Scout (Open Source) is optimized for: Classical text analysis, Long content, Multi-turn. AssemblyAI Universal 2 (Speech) works best for: Meeting transcription, Podcast processing, Content indexing.

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 4 Scout
response_a = client.chat.completions.create(
    model="llama-4-scout",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use AssemblyAI Universal 2
response_b = client.chat.completions.create(
    model="assembly-ai-universal-2",
    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 4 Scout or AssemblyAI Universal 2?

Llama 4 Scout (Open Source, 109B (17B active)) offers 512K context. AssemblyAI Universal 2 (Speech, ~2B) offers High accuracy. Choose Llama 4 Scout for Classical text analysis or AssemblyAI Universal 2 for Meeting transcription.

How much does Llama 4 Scout cost vs AssemblyAI Universal 2?

Llama 4 Scout: $0.05/1M input, $0.08/1M output. AssemblyAI Universal 2: $0.006/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 4 Scout and AssemblyAI Universal 2 by changing the model parameter. No code changes needed.

Related Comparisons

Llama 4 Scout vs Whisper Large V3 Llama 4 Scout vs Gemma 3 27B Llama 4 Scout vs Llama 4 Maverick Llama 4 Scout vs Llama 3.3 70B Llama 4 Scout vs Llama 3.1 405B Llama 4 Scout vs Llama 3.1 70B Turbo

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