DeepSeek R1 Distill 70B vs Jamba 1.5 Large
Compare DeepSeek R1 Distill 70B 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 | DeepSeek R1 Distill 70B | Jamba 1.5 Large |
|---|---|---|
| Category | Reasoning | Enterprise |
| Parameters | 70B | 398B (94B active) |
| Context Window | 128K | 256K |
| Input Price | $0.04/1M tokens | $0.08/1M tokens |
| Output Price | $0.08/1M tokens | $0.14/1M tokens |
| Latency | ~400ms | ~500ms |
Choose DeepSeek R1 Distill 70B when:
- ✓ Production reasoning
- ✓ Batch processing
- ✓ Cost-sensitive
Reasoning distilled, Faster than full R1, Cost-efficient
Choose Jamba 1.5 Large when:
- ✓ Full text processing
- ✓ Comprehensive reports
- ✓ Long analysis
256K context, SSM-Transformer hybrid, Good summarization
Verdict: DeepSeek R1 Distill 70B vs Jamba 1.5 Large
For cost efficiency, DeepSeek R1 Distill 70B wins at $0.04/1M input tokens. For speed, DeepSeek R1 Distill 70B is faster at ~400ms. DeepSeek R1 Distill 70B excels at Production reasoning 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
DeepSeek R1 Distill 70B costs $0.04/1M input tokens and $0.08/1M output tokens. Jamba 1.5 Large costs $0.08 input and $0.14 output. DeepSeek R1 Distill 70B is 2.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
DeepSeek R1 Distill 70B has a 128K context window with ~400ms latency. Jamba 1.5 Large offers 256K context at ~500ms. Jamba 1.5 Large has the larger context window.
Best For
DeepSeek R1 Distill 70B (Reasoning) is optimized for: Production reasoning, Batch processing, Cost-sensitive. 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 DeepSeek R1 Distill 70B
response_a = client.chat.completions.create(
model="deepseek-r1-distill-70b",
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, DeepSeek R1 Distill 70B or Jamba 1.5 Large?
DeepSeek R1 Distill 70B (Reasoning, 70B) offers Reasoning distilled. Jamba 1.5 Large (Enterprise, 398B (94B active)) offers 256K context. Choose DeepSeek R1 Distill 70B for Production reasoning or Jamba 1.5 Large for Full text processing.
How much does DeepSeek R1 Distill 70B cost vs Jamba 1.5 Large?
DeepSeek R1 Distill 70B: $0.04/1M input, $0.08/1M 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 DeepSeek R1 Distill 70B 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.