Llama 3.1 405B vs Voyage Large 2

Compare Llama 3.1 405B 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

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Feature Llama 3.1 405B Voyage Large 2
CategoryOpen SourceEmbedding
Parameters405B~500M
Context Window128K16K
Input Price$0.08/1M tokens$0.002/1M tokens
Output Price$0.14/1M tokensN/A/1M tokens
Latency~600ms~25ms

Choose Llama 3.1 405B when:

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

Largest open model, Highest open-source quality

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 405B vs Voyage Large 2

For cost efficiency, Voyage Large 2 wins at $0.002/1M input tokens. For speed, Voyage Large 2 is faster at ~25ms. Llama 3.1 405B excels at Premium tasks 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 405B costs $0.08/1M input tokens and $0.14/1M output tokens. Voyage Large 2 costs $0.002 input and N/A output. Voyage Large 2 is 40.0x 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. Voyage Large 2 offers 16K context at ~25ms. 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. 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 405B
response_a = client.chat.completions.create(
    model="llama-3-1-405b",
    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 405B or Voyage Large 2?

Llama 3.1 405B (Open Source, 405B) offers Largest open model. Voyage Large 2 (Embedding, ~500M) offers 16K context. Choose Llama 3.1 405B for Premium tasks or Voyage Large 2 for Code search.

How much does Llama 3.1 405B cost vs Voyage Large 2?

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