E5 Large v2 vs Jamba 1.5 Large

Compare E5 Large 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 E5 Large v2 Jamba 1.5 Large
CategoryEmbeddingEnterprise
Parameters335M398B (94B active)
Context Window512256K
Input Price$0.002/1M tokens$0.08/1M tokens
Output PriceN/A/1M tokens$0.14/1M tokens
Latency~20ms~500ms

Choose E5 Large v2 when:

  • ✓ Classical text search
  • ✓ RAG pipelines
  • ✓ Knowledge retrieval
Key Strengths:

1024 dimensions, Fast, Multi-lingual

Choose Jamba 1.5 Large when:

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

256K context, SSM-Transformer hybrid, Good summarization

Verdict: E5 Large v2 vs Jamba 1.5 Large

For cost efficiency, E5 Large v2 wins at $0.002/1M input tokens. For speed, E5 Large v2 is faster at ~20ms. E5 Large v2 excels at Classical text search 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

E5 Large v2 costs $0.002/1M input tokens and N/A/1M output tokens. Jamba 1.5 Large costs $0.08 input and $0.14 output. E5 Large v2 is 40.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

E5 Large v2 has a 512 context window with ~20ms latency. Jamba 1.5 Large offers 256K context at ~500ms. Jamba 1.5 Large has the larger context window.

Best For

E5 Large v2 (Embedding) is optimized for: Classical text search, RAG pipelines, Knowledge retrieval. 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 E5 Large v2
response_a = client.chat.completions.create(
    model="e5-large-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, E5 Large v2 or Jamba 1.5 Large?

E5 Large v2 (Embedding, 335M) offers 1024 dimensions. Jamba 1.5 Large (Enterprise, 398B (94B active)) offers 256K context. Choose E5 Large v2 for Classical text search or Jamba 1.5 Large for Full text processing.

How much does E5 Large v2 cost vs Jamba 1.5 Large?

E5 Large v2: $0.002/1M 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 E5 Large 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.