BGE Large v1.5 vs Jamba 1.5 Large

Compare BGE Large v1.5 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 Large v1.5 Jamba 1.5 Large
CategoryEmbeddingEnterprise
Parameters326M398B (94B active)
Context Window512256K
Input Price$0.001/1M tokens$0.08/1M tokens
Output PriceN/A/1M tokens$0.14/1M tokens
Latency~15ms~500ms

Choose BGE Large v1.5 when:

  • ✓ Budget RAG
  • ✓ Knowledge bases
  • ✓ Document clustering
Key Strengths:

Very low cost, Good multilingual, Fast

Choose Jamba 1.5 Large when:

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

256K context, SSM-Transformer hybrid, Good summarization

Verdict: BGE Large v1.5 vs Jamba 1.5 Large

For cost efficiency, BGE Large v1.5 wins at $0.001/1M input tokens. For speed, BGE Large v1.5 is faster at ~15ms. BGE Large v1.5 excels at Budget RAG 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 Large v1.5 costs $0.001/1M input tokens and N/A/1M output tokens. Jamba 1.5 Large costs $0.08 input and $0.14 output. BGE Large v1.5 is 80.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

BGE Large v1.5 has a 512 context window with ~15ms latency. Jamba 1.5 Large offers 256K context at ~500ms. Jamba 1.5 Large has the larger context window.

Best For

BGE Large v1.5 (Embedding) is optimized for: Budget RAG, Knowledge bases, Document clustering. 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 Large v1.5
response_a = client.chat.completions.create(
    model="bge-large-v1-5",
    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

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, BGE Large v1.5 or Jamba 1.5 Large?

BGE Large v1.5 (Embedding, 326M) offers Very low cost. Jamba 1.5 Large (Enterprise, 398B (94B active)) offers 256K context. Choose BGE Large v1.5 for Budget RAG or Jamba 1.5 Large for Full text processing.

How much does BGE Large v1.5 cost vs Jamba 1.5 Large?

BGE Large v1.5: $0.001/1M 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 Large v1.5 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.