Jamba 1.5 Large vs FLUX 1.1 Pro Ultra

Compare Jamba 1.5 Large and FLUX 1.1 Pro Ultra: 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 FLUX 1.1 Pro Ultra
CategoryEnterpriseImage
Parameters398B (94B active)~30B
Context Window256KN/A
Input Price$0.08/1M tokens$0.06/image/1M tokens
Output Price$0.14/1M tokensN/A/1M tokens
Latency~500ms~6s

Choose Jamba 1.5 Large when:

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

256K context, SSM-Transformer hybrid, Good summarization

Choose FLUX 1.1 Pro Ultra when:

  • ✓ Print-quality imagery
  • ✓ Ultra-HD content
  • ✓ Professional art
Key Strengths:

Ultra quality, 4K output, Best detail

Verdict: Jamba 1.5 Large vs FLUX 1.1 Pro Ultra

For cost efficiency, FLUX 1.1 Pro Ultra wins at $0.06/image/1M input tokens. For speed, Jamba 1.5 Large is faster at ~500ms. Jamba 1.5 Large excels at Full text processing while FLUX 1.1 Pro Ultra is better for Print-quality 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. FLUX 1.1 Pro Ultra costs $0.06/image input and N/A output. FLUX 1.1 Pro Ultra is 1.3x 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. FLUX 1.1 Pro Ultra offers N/A context at ~6s. 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. FLUX 1.1 Pro Ultra (Image) works best for: Print-quality imagery, Ultra-HD content, Professional art.

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 FLUX 1.1 Pro Ultra
response_b = client.chat.completions.create(
    model="flux-1-1-pro-ultra",
    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 FLUX 1.1 Pro Ultra?

Jamba 1.5 Large (Enterprise, 398B (94B active)) offers 256K context. FLUX 1.1 Pro Ultra (Image, ~30B) offers Ultra quality. Choose Jamba 1.5 Large for Full text processing or FLUX 1.1 Pro Ultra for Print-quality imagery.

How much does Jamba 1.5 Large cost vs FLUX 1.1 Pro Ultra?

Jamba 1.5 Large: $0.08/1M input, $0.14/1M output. FLUX 1.1 Pro Ultra: $0.06/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 FLUX 1.1 Pro Ultra 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.