Llama 3.2 1B vs Yi Lightning

Compare Llama 3.2 1B and Yi Lightning: 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 01.AI models What is an LLM API? Python Quickstart What is inference?
Feature Llama 3.2 1B Yi Lightning
CategoryCompactOpen Source
Parameters1B200B MoE
Context Window128K128K
Input Price$0.004/1M tokens$0.04/1M tokens
Output Price$0.008/1M tokens$0.08/1M tokens
Latency~25ms~300ms

Choose Llama 3.2 1B when:

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

Smallest footprint, Fastest inference, Classification

Choose Yi Lightning when:

  • ✓ High-volume APIs
  • ✓ Fast Q&A
  • ✓ Real-time chatbots
Key Strengths:

Fast inference, Good multilingual, Strong reasoning

Verdict: Llama 3.2 1B vs Yi Lightning

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 Yi Lightning is better for High-volume APIs. 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. Yi Lightning costs $0.04 input and $0.08 output. Llama 3.2 1B is 10.0x 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. Yi Lightning offers 128K context at ~300ms. Both have identical context windows.

Best For

Llama 3.2 1B (Compact) is optimized for: Intent detection, Routing, Edge classification. Yi Lightning (Open Source) works best for: High-volume APIs, Fast Q&A, Real-time chatbots.

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 Yi Lightning
response_b = client.chat.completions.create(
    model="yi-lightning",
    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 Yi Lightning?

Llama 3.2 1B (Compact, 1B) offers Smallest footprint. Yi Lightning (Open Source, 200B MoE) offers Fast inference. Choose Llama 3.2 1B for Intent detection or Yi Lightning for High-volume APIs.

How much does Llama 3.2 1B cost vs Yi Lightning?

Llama 3.2 1B: $0.004/1M input, $0.008/1M output. Yi Lightning: $0.04/1M input, $0.08/1M 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 Yi Lightning 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.