Llama 3.1 70B Turbo vs Voyage Large 2

Compare Llama 3.1 70B Turbo and Voyage Large 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 Voyage AI models What is an LLM API? Python Quickstart What is inference?
Feature Llama 3.1 70B Turbo Voyage Large 2
CategoryOpen SourceEmbedding
Parameters70B~500M
Context Window128K16K
Input Price$0.04/1M tokens$0.002/1M tokens
Output Price$0.06/1M tokensN/A/1M tokens
Latency~250ms~25ms

Choose Llama 3.1 70B Turbo when:

  • ✓ Production APIs
  • ✓ Fast generation
  • ✓ General purpose
Key Strengths:

Fast inference, Good quality, Well-tested

Choose Voyage Large 2 when:

  • ✓ Code search
  • ✓ Long document RAG
  • ✓ Semantic matching
Key Strengths:

16K context, High quality, Good for code

Verdict: Llama 3.1 70B Turbo vs Voyage Large 2

For cost efficiency, Voyage Large 2 wins at $0.002/1M input tokens. For speed, Llama 3.1 70B Turbo is faster at ~250ms. Llama 3.1 70B Turbo excels at Production APIs while Voyage Large 2 is better for Code search. 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 70B Turbo costs $0.04/1M input tokens and $0.06/1M output tokens. Voyage Large 2 costs $0.002 input and N/A output. Voyage Large 2 is 20.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.1 70B Turbo has a 128K context window with ~250ms latency. Voyage Large 2 offers 16K context at ~25ms. Llama 3.1 70B Turbo has the larger context window.

Best For

Llama 3.1 70B Turbo (Open Source) is optimized for: Production APIs, Fast generation, General purpose. Voyage Large 2 (Embedding) works best for: Code search, Long document RAG, Semantic matching.

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 70B Turbo
response_a = client.chat.completions.create(
    model="llama-3-1-70b-turbo",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Voyage Large 2
response_b = client.chat.completions.create(
    model="voyage-large-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 3.1 70B Turbo or Voyage Large 2?

Llama 3.1 70B Turbo (Open Source, 70B) offers Fast inference. Voyage Large 2 (Embedding, ~500M) offers 16K context. Choose Llama 3.1 70B Turbo for Production APIs or Voyage Large 2 for Code search.

How much does Llama 3.1 70B Turbo cost vs Voyage Large 2?

Llama 3.1 70B Turbo: $0.04/1M input, $0.06/1M output. Voyage Large 2: $0.002/1M 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 70B Turbo and Voyage Large 2 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.