DeepSeek R1 Distill 8B vs DeepSeek V3.1
Compare DeepSeek R1 Distill 8B and DeepSeek V3.1: 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 8B | DeepSeek V3.1 |
|---|---|---|
| Category | Reasoning | Open Source |
| Parameters | 8B | 685B (37B active) |
| Context Window | 128K | 128K |
| Input Price | $0.01/1M tokens | $0.06/1M tokens |
| Output Price | $0.02/1M tokens | $0.10/1M tokens |
| Latency | ~100ms | ~400ms |
Choose DeepSeek R1 Distill 8B when:
- ✓ Simple reasoning
- ✓ Classification with logic
- ✓ Edge
Very fast reasoning, Low cost, Compact
Choose DeepSeek V3.1 when:
- ✓ Production apps
- ✓ Content generation
- ✓ Multi-language
Improved quality, Better safety, Stronger multilingual
Verdict: DeepSeek R1 Distill 8B vs DeepSeek V3.1
For cost efficiency, DeepSeek R1 Distill 8B wins at $0.01/1M input tokens. For speed, DeepSeek R1 Distill 8B is faster at ~100ms. DeepSeek R1 Distill 8B excels at Simple reasoning while DeepSeek V3.1 is better for Production apps. 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 8B costs $0.01/1M input tokens and $0.02/1M output tokens. DeepSeek V3.1 costs $0.06 input and $0.10 output. DeepSeek R1 Distill 8B is 6.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
DeepSeek R1 Distill 8B has a 128K context window with ~100ms latency. DeepSeek V3.1 offers 128K context at ~400ms. Both have identical context windows.
Best For
DeepSeek R1 Distill 8B (Reasoning) is optimized for: Simple reasoning, Classification with logic, Edge. DeepSeek V3.1 (Open Source) works best for: Production apps, Content generation, Multi-language.
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 8B
response_a = client.chat.completions.create(
model="deepseek-r1-distill-8b",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use DeepSeek V3.1
response_b = client.chat.completions.create(
model="deepseek-v3-1",
messages=[{"role": "user", "content": "Your question here"}]
)
Frequently Asked Questions
Which is better, DeepSeek R1 Distill 8B or DeepSeek V3.1?
DeepSeek R1 Distill 8B (Reasoning, 8B) offers Very fast reasoning. DeepSeek V3.1 (Open Source, 685B (37B active)) offers Improved quality. Choose DeepSeek R1 Distill 8B for Simple reasoning or DeepSeek V3.1 for Production apps.
How much does DeepSeek R1 Distill 8B cost vs DeepSeek V3.1?
DeepSeek R1 Distill 8B: $0.01/1M input, $0.02/1M output. DeepSeek V3.1: $0.06/1M input, $0.10/1M 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 8B and DeepSeek V3.1 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.