Jamba 1.5 Large vs OpenAI Moderation
Compare Jamba 1.5 Large and OpenAI Moderation: 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 | OpenAI Moderation |
|---|---|---|
| Category | Enterprise | Safety |
| Parameters | 398B (94B active) | ~1B |
| Context Window | 256K | 32K |
| Input Price | $0.08/1M tokens | Free/1M tokens |
| Output Price | $0.14/1M tokens | N/A/1M tokens |
| Latency | ~500ms | ~50ms |
Choose Jamba 1.5 Large when:
- ✓ Full text processing
- ✓ Comprehensive reports
- ✓ Long analysis
256K context, SSM-Transformer hybrid, Good summarization
Choose OpenAI Moderation when:
- ✓ Content moderation
- ✓ Input filtering
- ✓ Safety checks
Free, Fast, Reliable categories
Verdict: Jamba 1.5 Large vs OpenAI Moderation
For cost efficiency, OpenAI Moderation wins at Free/1M input tokens. For speed, Jamba 1.5 Large is faster at ~500ms. Jamba 1.5 Large excels at Full text processing while OpenAI Moderation is better for Content moderation. 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. OpenAI Moderation costs Free input and N/A output. OpenAI Moderation is NaNx 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. OpenAI Moderation offers 32K context at ~50ms. 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. OpenAI Moderation (Safety) works best for: Content moderation, Input filtering, Safety checks.
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 OpenAI Moderation
response_b = client.chat.completions.create(
model="openai-moderation",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Jamba 1.5 Large or OpenAI Moderation?
Jamba 1.5 Large (Enterprise, 398B (94B active)) offers 256K context. OpenAI Moderation (Safety, ~1B) offers Free. Choose Jamba 1.5 Large for Full text processing or OpenAI Moderation for Content moderation.
How much does Jamba 1.5 Large cost vs OpenAI Moderation?
Jamba 1.5 Large: $0.08/1M input, $0.14/1M output. OpenAI Moderation: Free/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 OpenAI Moderation 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.