Jamba 1.5 Large vs PlayHT 3.0
Compare Jamba 1.5 Large and PlayHT 3.0: 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 | PlayHT 3.0 |
|---|---|---|
| Category | Enterprise | Speech |
| Parameters | 398B (94B active) | Generative |
| Context Window | 256K | N/A |
| Input Price | $0.08/1M tokens | $0.018/1K/1M tokens |
| Output Price | $0.14/1M tokens | N/A/1M tokens |
| Latency | ~500ms | ~250ms |
Choose Jamba 1.5 Large when:
- ✓ Full text processing
- ✓ Comprehensive reports
- ✓ Long analysis
256K context, SSM-Transformer hybrid, Good summarization
Choose PlayHT 3.0 when:
- ✓ Voice cloning
- ✓ Content narration
- ✓ IVR systems
Instant cloning, Good quality, Many languages
Verdict: Jamba 1.5 Large vs PlayHT 3.0
For cost efficiency, PlayHT 3.0 wins at $0.018/1K/1M input tokens. For speed, PlayHT 3.0 is faster at ~250ms. Jamba 1.5 Large excels at Full text processing while PlayHT 3.0 is better for Voice cloning. 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. PlayHT 3.0 costs $0.018/1K input and N/A output. PlayHT 3.0 is 4.4x 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. PlayHT 3.0 offers N/A context at ~250ms. 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. PlayHT 3.0 (Speech) works best for: Voice cloning, Content narration, IVR systems.
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 PlayHT 3.0
response_b = client.chat.completions.create(
model="playht-3",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Jamba 1.5 Large or PlayHT 3.0?
Jamba 1.5 Large (Enterprise, 398B (94B active)) offers 256K context. PlayHT 3.0 (Speech, Generative) offers Instant cloning. Choose Jamba 1.5 Large for Full text processing or PlayHT 3.0 for Voice cloning.
How much does Jamba 1.5 Large cost vs PlayHT 3.0?
Jamba 1.5 Large: $0.08/1M input, $0.14/1M output. PlayHT 3.0: $0.018/1K/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 PlayHT 3.0 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.