Jamba 1.5 Large vs Luma Dream Machine
Compare Jamba 1.5 Large and Luma Dream Machine: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.
Updated 2026-05-21 · By Abhishek Raj · Our methodology
| Feature | Jamba 1.5 Large | Luma Dream Machine |
|---|---|---|
| Category | Enterprise | Video |
| Parameters | 398B (94B active) | ~5B |
| Context Window | 256K | N/A |
| Input Price | $0.08/1M tokens | $0.15/video/1M tokens |
| Output Price | $0.14/1M tokens | N/A/1M tokens |
| Latency | ~500ms | ~20s |
Choose Jamba 1.5 Large when:
- ✓ Full text processing
- ✓ Comprehensive reports
- ✓ Long analysis
256K context, SSM-Transformer hybrid, Good summarization
Choose Luma Dream Machine when:
- ✓ Quick videos
- ✓ Social media
- ✓ Prototyping
Fast generation, Good quality, Easy to use
Verdict: Jamba 1.5 Large vs Luma Dream Machine
For cost efficiency, Jamba 1.5 Large wins at $0.08/1M input tokens. For speed, Luma Dream Machine is faster at ~20s. Jamba 1.5 Large excels at Full text processing while Luma Dream Machine is better for Quick videos. 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. Luma Dream Machine costs $0.15/video input and N/A output. Jamba 1.5 Large is 1.9x 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. Luma Dream Machine offers N/A context at ~20s. 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. Luma Dream Machine (Video) works best for: Quick videos, Social media, 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 Luma Dream Machine
response_b = client.chat.completions.create(
model="luma-dream-machine",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Jamba 1.5 Large or Luma Dream Machine?
Jamba 1.5 Large (Enterprise, 398B (94B active)) offers 256K context. Luma Dream Machine (Video, ~5B) offers Fast generation. Choose Jamba 1.5 Large for Full text processing or Luma Dream Machine for Quick videos.
How much does Jamba 1.5 Large cost vs Luma Dream Machine?
Jamba 1.5 Large: $0.08/1M input, $0.14/1M output. Luma Dream Machine: $0.15/video/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 Luma Dream Machine 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.