Jamba 1.5 Large vs Gemini 2.5 Pro Preview
Compare Jamba 1.5 Large and Gemini 2.5 Pro Preview: 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 | Gemini 2.5 Pro Preview |
|---|---|---|
| Category | Enterprise | Frontier |
| Parameters | 398B (94B active) | ~1.5T |
| Context Window | 256K | 2M |
| Input Price | $0.08/1M tokens | $0.07/1M tokens |
| Output Price | $0.14/1M tokens | $0.21/1M tokens |
| Latency | ~500ms | ~700ms |
Choose Jamba 1.5 Large when:
- ✓ Full text processing
- ✓ Comprehensive reports
- ✓ Long analysis
256K context, SSM-Transformer hybrid, Good summarization
Choose Gemini 2.5 Pro Preview when:
- ✓ Research
- ✓ Long analysis
- ✓ Testing new capabilities
2M context, Experimental features, Strong reasoning
Verdict: Jamba 1.5 Large vs Gemini 2.5 Pro Preview
For cost efficiency, Gemini 2.5 Pro Preview wins at $0.07/1M input tokens. For speed, Jamba 1.5 Large is faster at ~500ms. Jamba 1.5 Large excels at Full text processing while Gemini 2.5 Pro Preview is better for Research. 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. Gemini 2.5 Pro Preview costs $0.07 input and $0.21 output. Gemini 2.5 Pro Preview is 1.1x 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. Gemini 2.5 Pro Preview offers 2M context at ~700ms. Gemini 2.5 Pro Preview has the larger context window.
Best For
Jamba 1.5 Large (Enterprise) is optimized for: Full text processing, Comprehensive reports, Long analysis. Gemini 2.5 Pro Preview (Frontier) works best for: Research, Long analysis, Testing new capabilities.
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 Gemini 2.5 Pro Preview
response_b = client.chat.completions.create(
model="gemini-2-5-pro-preview",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Jamba 1.5 Large or Gemini 2.5 Pro Preview?
Jamba 1.5 Large (Enterprise, 398B (94B active)) offers 256K context. Gemini 2.5 Pro Preview (Frontier, ~1.5T) offers 2M context. Choose Jamba 1.5 Large for Full text processing or Gemini 2.5 Pro Preview for Research.
How much does Jamba 1.5 Large cost vs Gemini 2.5 Pro Preview?
Jamba 1.5 Large: $0.08/1M input, $0.14/1M output. Gemini 2.5 Pro Preview: $0.07/1M input, $0.21/1M 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 Gemini 2.5 Pro Preview 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.