Llama 3.2 3B vs BGE Reranker v2

Compare Llama 3.2 3B and BGE Reranker v2: 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 3B BGE Reranker v2
CategoryCompactReranking
Parameters3B568M
Context Window128K8K
Input Price$0.006/1M tokens$0.003/1M tokens
Output Price$0.012/1M tokensN/A/1M tokens
Latency~40ms~30ms

Choose Llama 3.2 3B when:

  • ✓ Mobile apps
  • ✓ Edge inference
  • ✓ Preprocessing
Key Strengths:

Ultra-small, Edge-ready, Minimal latency

Choose BGE Reranker v2 when:

  • ✓ RAG reranking
  • ✓ Search improvement
  • ✓ Citation accuracy
Key Strengths:

High precision, Cross-encoder, Improves RAG quality

Verdict: Llama 3.2 3B vs BGE Reranker v2

For cost efficiency, BGE Reranker v2 wins at $0.003/1M input tokens. For speed, BGE Reranker v2 is faster at ~30ms. Llama 3.2 3B excels at Mobile apps while BGE Reranker v2 is better for RAG reranking. 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 3B costs $0.006/1M input tokens and $0.012/1M output tokens. BGE Reranker v2 costs $0.003 input and N/A output. BGE Reranker v2 is 2.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.2 3B has a 128K context window with ~40ms latency. BGE Reranker v2 offers 8K context at ~30ms. Llama 3.2 3B has the larger context window.

Best For

Llama 3.2 3B (Compact) is optimized for: Mobile apps, Edge inference, Preprocessing. BGE Reranker v2 (Reranking) works best for: RAG reranking, Search improvement, Citation accuracy.

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 3B
response_a = client.chat.completions.create(
    model="llama-3-2-3b",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use BGE Reranker v2
response_b = client.chat.completions.create(
    model="bge-reranker-v2",
    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 3B or BGE Reranker v2?

Llama 3.2 3B (Compact, 3B) offers Ultra-small. BGE Reranker v2 (Reranking, 568M) offers High precision. Choose Llama 3.2 3B for Mobile apps or BGE Reranker v2 for RAG reranking.

How much does Llama 3.2 3B cost vs BGE Reranker v2?

Llama 3.2 3B: $0.006/1M input, $0.012/1M output. BGE Reranker v2: $0.003/1M 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 3.2 3B and BGE Reranker v2 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.