Jamba 1.5 Large vs ElevenLabs Turbo v2.5
Compare Jamba 1.5 Large and ElevenLabs Turbo v2.5: 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 | ElevenLabs Turbo v2.5 |
|---|---|---|
| Category | Enterprise | Speech |
| Parameters | 398B (94B active) | Generative |
| Context Window | 256K | N/A |
| Input Price | $0.08/1M tokens | $0.02/1K/1M tokens |
| Output Price | $0.14/1M tokens | N/A/1M tokens |
| Latency | ~500ms | ~200ms |
Choose Jamba 1.5 Large when:
- ✓ Full text processing
- ✓ Comprehensive reports
- ✓ Long analysis
256K context, SSM-Transformer hybrid, Good summarization
Choose ElevenLabs Turbo v2.5 when:
- ✓ Premium voice apps
- ✓ Audiobooks
- ✓ Podcast generation
Most natural voices, Emotion control, 32 languages
Verdict: Jamba 1.5 Large vs ElevenLabs Turbo v2.5
For cost efficiency, ElevenLabs Turbo v2.5 wins at $0.02/1K/1M input tokens. For speed, ElevenLabs Turbo v2.5 is faster at ~200ms. Jamba 1.5 Large excels at Full text processing while ElevenLabs Turbo v2.5 is better for Premium voice apps. 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. ElevenLabs Turbo v2.5 costs $0.02/1K input and N/A output. ElevenLabs Turbo v2.5 is 3.8x 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. ElevenLabs Turbo v2.5 offers N/A context at ~200ms. 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. ElevenLabs Turbo v2.5 (Speech) works best for: Premium voice apps, Audiobooks, Podcast generation.
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 ElevenLabs Turbo v2.5
response_b = client.chat.completions.create(
model="elevenlabs-turbo-v2-5",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Jamba 1.5 Large or ElevenLabs Turbo v2.5?
Jamba 1.5 Large (Enterprise, 398B (94B active)) offers 256K context. ElevenLabs Turbo v2.5 (Speech, Generative) offers Most natural voices. Choose Jamba 1.5 Large for Full text processing or ElevenLabs Turbo v2.5 for Premium voice apps.
How much does Jamba 1.5 Large cost vs ElevenLabs Turbo v2.5?
Jamba 1.5 Large: $0.08/1M input, $0.14/1M output. ElevenLabs Turbo v2.5: $0.02/1K/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 ElevenLabs Turbo v2.5 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.