Claude Opus 4.5 vs Jamba 1.5 Large
Compare Claude Opus 4.5 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 | Claude Opus 4.5 | Jamba 1.5 Large |
|---|---|---|
| Category | Frontier | Enterprise |
| Parameters | ~2.5T | 398B (94B active) |
| Context Window | 200K | 256K |
| Input Price | $0.15/1M tokens | $0.08/1M tokens |
| Output Price | $0.75/1M tokens | $0.14/1M tokens |
| Latency | ~900ms | ~500ms |
Choose Claude Opus 4.5 when:
- ✓ Creative writing
- ✓ Complex analysis
- ✓ Research
Superior creativity, Nuanced reasoning, Complex analysis
Choose Jamba 1.5 Large when:
- ✓ Full text processing
- ✓ Comprehensive reports
- ✓ Long analysis
256K context, SSM-Transformer hybrid, Good summarization
Verdict: Claude Opus 4.5 vs Jamba 1.5 Large
For cost efficiency, Jamba 1.5 Large wins at $0.08/1M input tokens. For speed, Jamba 1.5 Large is faster at ~500ms. Claude Opus 4.5 excels at Creative writing 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
Claude Opus 4.5 costs $0.15/1M input tokens and $0.75/1M output tokens. Jamba 1.5 Large costs $0.08 input and $0.14 output. Jamba 1.5 Large is 1.9x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Claude Opus 4.5 has a 200K context window with ~900ms latency. Jamba 1.5 Large offers 256K context at ~500ms. Jamba 1.5 Large has the larger context window.
Best For
Claude Opus 4.5 (Frontier) is optimized for: Creative writing, Complex analysis, Research. 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 Claude Opus 4.5
response_a = client.chat.completions.create(
model="claude-opus-4-5",
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, Claude Opus 4.5 or Jamba 1.5 Large?
Claude Opus 4.5 (Frontier, ~2.5T) offers Superior creativity. Jamba 1.5 Large (Enterprise, 398B (94B active)) offers 256K context. Choose Claude Opus 4.5 for Creative writing or Jamba 1.5 Large for Full text processing.
How much does Claude Opus 4.5 cost vs Jamba 1.5 Large?
Claude Opus 4.5: $0.15/1M input, $0.75/1M 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 Claude Opus 4.5 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.