Playground V3 vs Jamba 1.5 Large
Compare Playground V3 and Jamba 1.5 Large: 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 | Playground V3 | Jamba 1.5 Large |
|---|---|---|
| Category | Image | Enterprise |
| Parameters | ~4B | 398B (94B active) |
| Context Window | N/A | 256K |
| Input Price | $0.004/image/1M tokens | $0.08/1M tokens |
| Output Price | N/A/1M tokens | $0.14/1M tokens |
| Latency | ~3s | ~500ms |
Choose Playground V3 when:
- ✓ Creative artwork
- ✓ Social media
- ✓ Illustrations
Artistic styles, Creative output, Good quality
Choose Jamba 1.5 Large when:
- ✓ Full text processing
- ✓ Comprehensive reports
- ✓ Long analysis
256K context, SSM-Transformer hybrid, Good summarization
Verdict: Playground V3 vs Jamba 1.5 Large
For cost efficiency, Playground V3 wins at $0.004/image/1M input tokens. For speed, Playground V3 is faster at ~3s. Playground V3 excels at Creative artwork while Jamba 1.5 Large is better for Full text processing. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.
Detailed Analysis
Pricing Comparison
Playground V3 costs $0.004/image/1M input tokens and N/A/1M output tokens. Jamba 1.5 Large costs $0.08 input and $0.14 output. Playground V3 is 20.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Playground V3 has a N/A context window with ~3s latency. Jamba 1.5 Large offers 256K context at ~500ms. Jamba 1.5 Large has the larger context window.
Best For
Playground V3 (Image) is optimized for: Creative artwork, Social media, Illustrations. Jamba 1.5 Large (Enterprise) works best for: Full text processing, Comprehensive reports, Long analysis.
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 Playground V3
response_a = client.chat.completions.create(
model="playground-v3",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use Jamba 1.5 Large
response_b = client.chat.completions.create(
model="jamba-1-5-large",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Playground V3 or Jamba 1.5 Large?
Playground V3 (Image, ~4B) offers Artistic styles. Jamba 1.5 Large (Enterprise, 398B (94B active)) offers 256K context. Choose Playground V3 for Creative artwork or Jamba 1.5 Large for Full text processing.
How much does Playground V3 cost vs Jamba 1.5 Large?
Playground V3: $0.004/image/1M input, N/A/1M output. Jamba 1.5 Large: $0.08/1M input, $0.14/1M 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 Playground V3 and Jamba 1.5 Large 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.