DeepSeek R1 vs DeepSeek R1 Distill 32B
Compare DeepSeek R1 and DeepSeek R1 Distill 32B: 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 | DeepSeek R1 Distill 32B |
|---|---|---|
| Category | Reasoning | Reasoning |
| Parameters | 671B | 32B |
| Context Window | 128K | 128K |
| Input Price | $0.08/1M tokens | $0.03/1M tokens |
| Output Price | $0.15/1M tokens | $0.06/1M tokens |
| Latency | ~800ms | ~250ms |
Choose DeepSeek R1 when:
- ✓ Complex yoga calculations
- ✓ Dasha analysis
- ✓ Research-grade analysis
Chain-of-thought, Complex calculations, Transparent thinking
Choose DeepSeek R1 Distill 32B when:
- ✓ Production reasoning
- ✓ Analysis
- ✓ Structured tasks
Good reasoning, Moderate cost, Fast
Verdict: DeepSeek R1 vs DeepSeek R1 Distill 32B
For cost efficiency, DeepSeek R1 Distill 32B wins at $0.03/1M input tokens. For speed, DeepSeek R1 Distill 32B is faster at ~250ms. DeepSeek R1 excels at Complex yoga calculations while DeepSeek R1 Distill 32B is better for Production reasoning. 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 costs $0.08/1M input tokens and $0.15/1M output tokens. DeepSeek R1 Distill 32B costs $0.03 input and $0.06 output. DeepSeek R1 Distill 32B is 2.7x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
DeepSeek R1 has a 128K context window with ~800ms latency. DeepSeek R1 Distill 32B offers 128K context at ~250ms. Both have identical context windows.
Best For
DeepSeek R1 (Reasoning) is optimized for: Complex yoga calculations, Dasha analysis, Research-grade analysis. DeepSeek R1 Distill 32B (Reasoning) works best for: Production reasoning, Analysis, Structured tasks.
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
response_a = client.chat.completions.create(
model="deepseek-r1",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use DeepSeek R1 Distill 32B
response_b = client.chat.completions.create(
model="deepseek-r1-distill-32b",
messages=[{"role": "user", "content": "Your question here"}]
)
Frequently Asked Questions
Which is better, DeepSeek R1 or DeepSeek R1 Distill 32B?
DeepSeek R1 (Reasoning, 671B) offers Chain-of-thought. DeepSeek R1 Distill 32B (Reasoning, 32B) offers Good reasoning. Choose DeepSeek R1 for Complex yoga calculations or DeepSeek R1 Distill 32B for Production reasoning.
How much does DeepSeek R1 cost vs DeepSeek R1 Distill 32B?
DeepSeek R1: $0.08/1M input, $0.15/1M output. DeepSeek R1 Distill 32B: $0.03/1M input, $0.06/1M 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 and DeepSeek R1 Distill 32B 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.