Voyage Large 2 vs Baichuan 4

Compare Voyage Large 2 and Baichuan 4: 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 Voyage Large 2 Baichuan 4
CategoryEmbeddingOpen Source
Parameters~500M~130B
Context Window16K128K
Input Price$0.002/1M tokens$0.05/1M tokens
Output PriceN/A/1M tokens$0.09/1M tokens
Latency~25ms~350ms

Choose Voyage Large 2 when:

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

16K context, High quality, Good for code

Choose Baichuan 4 when:

  • ✓ Chinese content
  • ✓ Cultural analysis
  • ✓ Bilingual apps
Key Strengths:

Strong Chinese, Cultural knowledge, Good reasoning

Verdict: Voyage Large 2 vs Baichuan 4

For cost efficiency, Voyage Large 2 wins at $0.002/1M input tokens. For speed, Voyage Large 2 is faster at ~25ms. Voyage Large 2 excels at Code search while Baichuan 4 is better for Chinese content. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

Voyage Large 2 costs $0.002/1M input tokens and N/A/1M output tokens. Baichuan 4 costs $0.05 input and $0.09 output. Voyage Large 2 is 25.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Voyage Large 2 has a 16K context window with ~25ms latency. Baichuan 4 offers 128K context at ~350ms. Baichuan 4 has the larger context window.

Best For

Voyage Large 2 (Embedding) is optimized for: Code search, Long document RAG, Semantic matching. Baichuan 4 (Open Source) works best for: Chinese content, Cultural analysis, Bilingual apps.

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 Voyage Large 2
response_a = client.chat.completions.create(
    model="voyage-large-2",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Baichuan 4
response_b = client.chat.completions.create(
    model="baichuan-4",
    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, Voyage Large 2 or Baichuan 4?

Voyage Large 2 (Embedding, ~500M) offers 16K context. Baichuan 4 (Open Source, ~130B) offers Strong Chinese. Choose Voyage Large 2 for Code search or Baichuan 4 for Chinese content.

How much does Voyage Large 2 cost vs Baichuan 4?

Voyage Large 2: $0.002/1M input, N/A/1M output. Baichuan 4: $0.05/1M input, $0.09/1M 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 Voyage Large 2 and Baichuan 4 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.