BGE Reranker v2 vs Jamba 1.5 Large

Compare BGE Reranker v2 and Jamba 1.5 Large: 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 Jamba 1.5 Large
CategoryRerankingEnterprise
Parameters568M398B (94B active)
Context Window8K256K
Input Price$0.003/1M tokens$0.08/1M tokens
Output PriceN/A/1M tokens$0.14/1M 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 Jamba 1.5 Large when:

  • ✓ Full text processing
  • ✓ Comprehensive reports
  • ✓ Long analysis
Key Strengths:

256K context, SSM-Transformer hybrid, Good summarization

Verdict: BGE Reranker v2 vs Jamba 1.5 Large

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 Jamba 1.5 Large is better for Full text processing. 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. Jamba 1.5 Large costs $0.08 input and $0.14 output. BGE Reranker v2 is 26.7x 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. Jamba 1.5 Large offers 256K context at ~500ms. Jamba 1.5 Large has the larger context window.

Best For

BGE Reranker v2 (Reranking) is optimized for: RAG reranking, Search improvement, Citation accuracy. Jamba 1.5 Large (Enterprise) works best for: Full text processing, Comprehensive reports, Long analysis.

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 Jamba 1.5 Large
response_b = client.chat.completions.create(
    model="jamba-1-5-large",
    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, BGE Reranker v2 or Jamba 1.5 Large?

BGE Reranker v2 (Reranking, 568M) offers High precision. Jamba 1.5 Large (Enterprise, 398B (94B active)) offers 256K context. Choose BGE Reranker v2 for RAG reranking or Jamba 1.5 Large for Full text processing.

How much does BGE Reranker v2 cost vs Jamba 1.5 Large?

BGE Reranker v2: $0.003/1M input, N/A/1M output. Jamba 1.5 Large: $0.08/1M input, $0.14/1M 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 Jamba 1.5 Large 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.