Llama 4 Maverick vs Voyage Large 2

Compare Llama 4 Maverick 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 4 Maverick Voyage Large 2
CategoryOpen SourceEmbedding
Parameters400B (17B active)~500M
Context Window256K16K
Input Price$0.07/1M tokens$0.002/1M tokens
Output Price$0.12/1M tokensN/A/1M tokens
Latency~450ms~25ms

Choose Llama 4 Maverick when:

  • ✓ Complex analysis
  • ✓ Professional reports
  • ✓ Deep reasoning
Key Strengths:

Superior reasoning, 256K context, Excellent multilingual

Choose Voyage Large 2 when:

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

16K context, High quality, Good for code

Verdict: Llama 4 Maverick 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 4 Maverick excels at Complex analysis 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 4 Maverick costs $0.07/1M input tokens and $0.12/1M output tokens. Voyage Large 2 costs $0.002 input and N/A output. Voyage Large 2 is 35.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 4 Maverick has a 256K context window with ~450ms latency. Voyage Large 2 offers 16K context at ~25ms. Llama 4 Maverick has the larger context window.

Best For

Llama 4 Maverick (Open Source) is optimized for: Complex analysis, Professional reports, Deep reasoning. 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 4 Maverick
response_a = client.chat.completions.create(
    model="llama-4-maverick",
    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 4 Maverick or Voyage Large 2?

Llama 4 Maverick (Open Source, 400B (17B active)) offers Superior reasoning. Voyage Large 2 (Embedding, ~500M) offers 16K context. Choose Llama 4 Maverick for Complex analysis or Voyage Large 2 for Code search.

How much does Llama 4 Maverick cost vs Voyage Large 2?

Llama 4 Maverick: $0.07/1M input, $0.12/1M 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 4 Maverick and Voyage Large 2 by changing the model parameter. No code changes needed.

Related Comparisons

Llama 4 Maverick vs Text Embedding 3 Large Llama 4 Maverick vs Gemma 3 27B Llama 4 Maverick vs Llama 4 Scout Llama 4 Maverick vs Llama 3.3 70B Llama 4 Maverick vs Llama 3.1 405B Llama 4 Maverick vs Llama 3.1 70B Turbo

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