Llama 3.1 405B vs ElevenLabs Turbo v2.5

Compare Llama 3.1 405B 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 3.1 405B ElevenLabs Turbo v2.5
CategoryOpen SourceSpeech
Parameters405BGenerative
Context Window128KN/A
Input Price$0.08/1M tokens$0.02/1K/1M tokens
Output Price$0.14/1M tokensN/A/1M tokens
Latency~600ms~200ms

Choose Llama 3.1 405B when:

  • ✓ Premium tasks
  • ✓ Research
  • ✓ Fine-tuning base
Key Strengths:

Largest open model, Highest open-source quality

Choose ElevenLabs Turbo v2.5 when:

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

Most natural voices, Emotion control, 32 languages

Verdict: Llama 3.1 405B 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 3.1 405B excels at Premium tasks 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 3.1 405B costs $0.08/1M input tokens and $0.14/1M output tokens. ElevenLabs Turbo v2.5 costs $0.02/1K input and N/A output. ElevenLabs Turbo v2.5 is 3.8x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.1 405B has a 128K context window with ~600ms latency. ElevenLabs Turbo v2.5 offers N/A context at ~200ms. Llama 3.1 405B has the larger context window.

Best For

Llama 3.1 405B (Open Source) is optimized for: Premium tasks, Research, Fine-tuning base. 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 3.1 405B
response_a = client.chat.completions.create(
    model="llama-3-1-405b",
    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 3.1 405B or ElevenLabs Turbo v2.5?

Llama 3.1 405B (Open Source, 405B) offers Largest open model. ElevenLabs Turbo v2.5 (Speech, Generative) offers Most natural voices. Choose Llama 3.1 405B for Premium tasks or ElevenLabs Turbo v2.5 for Premium voice apps.

How much does Llama 3.1 405B cost vs ElevenLabs Turbo v2.5?

Llama 3.1 405B: $0.08/1M input, $0.14/1M 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 3.1 405B and ElevenLabs Turbo 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.