BGE Reranker v2 vs Nemotron 4 340B

Compare BGE Reranker v2 and Nemotron 4 340B: 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 BGE Reranker v2 Nemotron 4 340B
CategoryRerankingOpen Source
Parameters568M340B
Context Window8K128K
Input Price$0.003/1M tokens$0.07/1M tokens
Output PriceN/A/1M tokens$0.12/1M tokens
Latency~30ms~500ms

Choose BGE Reranker v2 when:

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

High precision, Cross-encoder, Improves RAG quality

Choose Nemotron 4 340B when:

  • ✓ Data generation
  • ✓ Training data
  • ✓ Research
Key Strengths:

Synthetic data generation, Large scale, Good quality

Verdict: BGE Reranker v2 vs Nemotron 4 340B

For cost efficiency, BGE Reranker v2 wins at $0.003/1M input tokens. For speed, BGE Reranker v2 is faster at ~30ms. BGE Reranker v2 excels at RAG reranking while Nemotron 4 340B is better for Data generation. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

BGE Reranker v2 costs $0.003/1M input tokens and N/A/1M output tokens. Nemotron 4 340B costs $0.07 input and $0.12 output. BGE Reranker v2 is 23.3x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

BGE Reranker v2 has a 8K context window with ~30ms latency. Nemotron 4 340B offers 128K context at ~500ms. Nemotron 4 340B has the larger context window.

Best For

BGE Reranker v2 (Reranking) is optimized for: RAG reranking, Search improvement, Citation accuracy. Nemotron 4 340B (Open Source) works best for: Data generation, Training data, Research.

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 BGE Reranker v2
response_a = client.chat.completions.create(
    model="bge-reranker-v2",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Nemotron 4 340B
response_b = client.chat.completions.create(
    model="nemotron-4-340b",
    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, BGE Reranker v2 or Nemotron 4 340B?

BGE Reranker v2 (Reranking, 568M) offers High precision. Nemotron 4 340B (Open Source, 340B) offers Synthetic data generation. Choose BGE Reranker v2 for RAG reranking or Nemotron 4 340B for Data generation.

How much does BGE Reranker v2 cost vs Nemotron 4 340B?

BGE Reranker v2: $0.003/1M input, N/A/1M output. Nemotron 4 340B: $0.07/1M input, $0.12/1M 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 BGE Reranker v2 and Nemotron 4 340B 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.