Jamba 1.5 Large vs Suno v4
Compare Jamba 1.5 Large and Suno v4: 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 | Suno v4 |
|---|---|---|
| Category | Enterprise | Audio |
| Parameters | 398B (94B active) | ~5B |
| Context Window | 256K | N/A |
| Input Price | $0.08/1M tokens | $0.05/song/1M tokens |
| Output Price | $0.14/1M tokens | N/A/1M tokens |
| Latency | ~500ms | ~30s |
Choose Jamba 1.5 Large when:
- ✓ Full text processing
- ✓ Comprehensive reports
- ✓ Long analysis
256K context, SSM-Transformer hybrid, Good summarization
Choose Suno v4 when:
- ✓ Music generation
- ✓ Background music
- ✓ Content creation
Full song generation, Vocals + instruments, Style control
Verdict: Jamba 1.5 Large vs Suno v4
For cost efficiency, Suno v4 wins at $0.05/song/1M input tokens. For speed, Suno v4 is faster at ~30s. Jamba 1.5 Large excels at Full text processing while Suno v4 is better for Music 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. Suno v4 costs $0.05/song input and N/A output. Suno v4 is 1.6x 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. Suno v4 offers N/A context at ~30s. 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. Suno v4 (Audio) works best for: Music generation, Background music, Content creation.
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 Suno v4
response_b = client.chat.completions.create(
model="suno-v4",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Jamba 1.5 Large or Suno v4?
Jamba 1.5 Large (Enterprise, 398B (94B active)) offers 256K context. Suno v4 (Audio, ~5B) offers Full song generation. Choose Jamba 1.5 Large for Full text processing or Suno v4 for Music generation.
How much does Jamba 1.5 Large cost vs Suno v4?
Jamba 1.5 Large: $0.08/1M input, $0.14/1M output. Suno v4: $0.05/song/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 Suno v4 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.