Jamba 1.5 Large vs MythoMax 13B

Compare Jamba 1.5 Large and MythoMax 13B: 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 MythoMax 13B
CategoryEnterpriseOpen Source
Parameters398B (94B active)13B
Context Window256K4K
Input Price$0.08/1M tokens$0.01/1M tokens
Output Price$0.14/1M tokens$0.02/1M tokens
Latency~500ms~100ms

Choose Jamba 1.5 Large when:

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

256K context, SSM-Transformer hybrid, Good summarization

Choose MythoMax 13B when:

  • ✓ Story generation
  • ✓ Creative content
  • ✓ Interactive fiction
Key Strengths:

Creative writing, Roleplay, Narrative quality

Verdict: Jamba 1.5 Large vs MythoMax 13B

For cost efficiency, MythoMax 13B wins at $0.01/1M input tokens. For speed, MythoMax 13B is faster at ~100ms. Jamba 1.5 Large excels at Full text processing while MythoMax 13B is better for Story generation. 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. MythoMax 13B costs $0.01 input and $0.02 output. MythoMax 13B is 8.0x 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. MythoMax 13B offers 4K context at ~100ms. 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. MythoMax 13B (Open Source) works best for: Story generation, Creative content, Interactive fiction.

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 MythoMax 13B
response_b = client.chat.completions.create(
    model="mythomax-13b",
    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 MythoMax 13B?

Jamba 1.5 Large (Enterprise, 398B (94B active)) offers 256K context. MythoMax 13B (Open Source, 13B) offers Creative writing. Choose Jamba 1.5 Large for Full text processing or MythoMax 13B for Story generation.

How much does Jamba 1.5 Large cost vs MythoMax 13B?

Jamba 1.5 Large: $0.08/1M input, $0.14/1M output. MythoMax 13B: $0.01/1M input, $0.02/1M 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 MythoMax 13B 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.