Llama 4 Scout vs ElevenLabs Turbo v2.5

Compare Llama 4 Scout and ElevenLabs Turbo 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

All Meta models All ElevenLabs models What is an LLM API? Python Quickstart What is inference?
Feature Llama 4 Scout ElevenLabs Turbo v2.5
CategoryOpen SourceSpeech
Parameters109B (17B active)Generative
Context Window512KN/A
Input Price$0.05/1M tokens$0.02/1K/1M tokens
Output Price$0.08/1M tokensN/A/1M tokens
Latency~350ms~200ms

Choose Llama 4 Scout when:

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

512K context, MoE efficiency, Strong multilingual

Choose ElevenLabs Turbo v2.5 when:

  • ✓ Premium voice apps
  • ✓ Audiobooks
  • ✓ Podcast generation
Key Strengths:

Most natural voices, Emotion control, 32 languages

Verdict: Llama 4 Scout vs ElevenLabs Turbo v2.5

For cost efficiency, ElevenLabs Turbo v2.5 wins at $0.02/1K/1M input tokens. For speed, ElevenLabs Turbo v2.5 is faster at ~200ms. Llama 4 Scout excels at Classical text analysis while ElevenLabs Turbo v2.5 is better for Premium voice apps. 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. ElevenLabs Turbo v2.5 costs $0.02/1K input and N/A output. ElevenLabs Turbo v2.5 is 2.4x 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. ElevenLabs Turbo v2.5 offers N/A context at ~200ms. Llama 4 Scout has the larger context window.

Best For

Llama 4 Scout (Open Source) is optimized for: Classical text analysis, Long content, Multi-turn. ElevenLabs Turbo v2.5 (Speech) works best for: Premium voice apps, Audiobooks, Podcast generation.

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 ElevenLabs Turbo v2.5
response_b = client.chat.completions.create(
    model="elevenlabs-turbo-v2-5",
    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 ElevenLabs Turbo v2.5?

Llama 4 Scout (Open Source, 109B (17B active)) offers 512K context. ElevenLabs Turbo v2.5 (Speech, Generative) offers Most natural voices. Choose Llama 4 Scout for Classical text analysis or ElevenLabs Turbo v2.5 for Premium voice apps.

How much does Llama 4 Scout cost vs ElevenLabs Turbo v2.5?

Llama 4 Scout: $0.05/1M input, $0.08/1M output. ElevenLabs Turbo v2.5: $0.02/1K/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 ElevenLabs Turbo v2.5 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.