Jamba 1.5 Large vs SD 3.5 Medium

Compare Jamba 1.5 Large and SD 3.5 Medium: 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 Jamba 1.5 Large SD 3.5 Medium
CategoryEnterpriseImage
Parameters398B (94B active)2.5B
Context Window256KN/A
Input Price$0.08/1M tokens$0.003/image/1M tokens
Output Price$0.14/1M tokensN/A/1M tokens
Latency~500ms~2s

Choose Jamba 1.5 Large when:

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

256K context, SSM-Transformer hybrid, Good summarization

Choose SD 3.5 Medium when:

  • ✓ General imagery
  • ✓ Batch generation
  • ✓ Prototyping
Key Strengths:

Good quality, Fast, Open weights

Verdict: Jamba 1.5 Large vs SD 3.5 Medium

For cost efficiency, SD 3.5 Medium wins at $0.003/image/1M input tokens. For speed, SD 3.5 Medium is faster at ~2s. Jamba 1.5 Large excels at Full text processing while SD 3.5 Medium is better for General imagery. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

Jamba 1.5 Large costs $0.08/1M input tokens and $0.14/1M output tokens. SD 3.5 Medium costs $0.003/image input and N/A output. SD 3.5 Medium is 26.7x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Jamba 1.5 Large has a 256K context window with ~500ms latency. SD 3.5 Medium offers N/A context at ~2s. Jamba 1.5 Large has the larger context window.

Best For

Jamba 1.5 Large (Enterprise) is optimized for: Full text processing, Comprehensive reports, Long analysis. SD 3.5 Medium (Image) works best for: General imagery, Batch generation, Prototyping.

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 Jamba 1.5 Large
response_a = client.chat.completions.create(
    model="jamba-1-5-large",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use SD 3.5 Medium
response_b = client.chat.completions.create(
    model="stable-diffusion-3-5-medium",
    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, Jamba 1.5 Large or SD 3.5 Medium?

Jamba 1.5 Large (Enterprise, 398B (94B active)) offers 256K context. SD 3.5 Medium (Image, 2.5B) offers Good quality. Choose Jamba 1.5 Large for Full text processing or SD 3.5 Medium for General imagery.

How much does Jamba 1.5 Large cost vs SD 3.5 Medium?

Jamba 1.5 Large: $0.08/1M input, $0.14/1M output. SD 3.5 Medium: $0.003/image/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 Jamba 1.5 Large and SD 3.5 Medium 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.