Llama 3.2 1B vs Baichuan 4

Compare Llama 3.2 1B 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 Llama 3.2 1B Baichuan 4
CategoryCompactOpen Source
Parameters1B~130B
Context Window128K128K
Input Price$0.004/1M tokens$0.05/1M tokens
Output Price$0.008/1M tokens$0.09/1M tokens
Latency~25ms~350ms

Choose Llama 3.2 1B when:

  • ✓ Intent detection
  • ✓ Routing
  • ✓ Edge classification
Key Strengths:

Smallest footprint, Fastest inference, Classification

Choose Baichuan 4 when:

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

Strong Chinese, Cultural knowledge, Good reasoning

Verdict: Llama 3.2 1B vs Baichuan 4

For cost efficiency, Llama 3.2 1B wins at $0.004/1M input tokens. For speed, Llama 3.2 1B is faster at ~25ms. Llama 3.2 1B excels at Intent detection 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

Llama 3.2 1B costs $0.004/1M input tokens and $0.008/1M output tokens. Baichuan 4 costs $0.05 input and $0.09 output. Llama 3.2 1B is 12.5x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.2 1B has a 128K context window with ~25ms latency. Baichuan 4 offers 128K context at ~350ms. Both have identical context windows.

Best For

Llama 3.2 1B (Compact) is optimized for: Intent detection, Routing, Edge classification. 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 Llama 3.2 1B
response_a = client.chat.completions.create(
    model="llama-3-2-1b",
    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

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Llama 3.2 1B or Baichuan 4?

Llama 3.2 1B (Compact, 1B) offers Smallest footprint. Baichuan 4 (Open Source, ~130B) offers Strong Chinese. Choose Llama 3.2 1B for Intent detection or Baichuan 4 for Chinese content.

How much does Llama 3.2 1B cost vs Baichuan 4?

Llama 3.2 1B: $0.004/1M input, $0.008/1M 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 Llama 3.2 1B 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.