DeepSeek R1 Distill 70B vs DeepSeek V3.1

Compare DeepSeek R1 Distill 70B 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

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Feature DeepSeek R1 Distill 70B DeepSeek V3.1
CategoryReasoningOpen Source
Parameters70B685B (37B active)
Context Window128K128K
Input Price$0.04/1M tokens$0.06/1M tokens
Output Price$0.08/1M tokens$0.10/1M tokens
Latency~400ms~400ms

Choose DeepSeek R1 Distill 70B when:

  • ✓ Production reasoning
  • ✓ Batch processing
  • ✓ Cost-sensitive
Key Strengths:

Reasoning distilled, Faster than full R1, Cost-efficient

Choose DeepSeek V3.1 when:

  • ✓ Production apps
  • ✓ Content generation
  • ✓ Multi-language
Key Strengths:

Improved quality, Better safety, Stronger multilingual

Verdict: DeepSeek R1 Distill 70B vs DeepSeek V3.1

For cost efficiency, DeepSeek R1 Distill 70B wins at $0.04/1M input tokens. For speed, DeepSeek V3.1 is faster at ~400ms. DeepSeek R1 Distill 70B excels at Production 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 70B costs $0.04/1M input tokens and $0.08/1M output tokens. DeepSeek V3.1 costs $0.06 input and $0.10 output. DeepSeek R1 Distill 70B is 1.5x 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. DeepSeek V3.1 offers 128K context at ~400ms. Both have identical context windows.

Best For

DeepSeek R1 Distill 70B (Reasoning) is optimized for: Production reasoning, Batch processing, Cost-sensitive. 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 70B
response_a = client.chat.completions.create(
    model="deepseek-r1-distill-70b",
    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"}]
)

Start Building with XALEN

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, DeepSeek R1 Distill 70B or DeepSeek V3.1?

DeepSeek R1 Distill 70B (Reasoning, 70B) offers Reasoning distilled. DeepSeek V3.1 (Open Source, 685B (37B active)) offers Improved quality. Choose DeepSeek R1 Distill 70B for Production reasoning or DeepSeek V3.1 for Production apps.

How much does DeepSeek R1 Distill 70B cost vs DeepSeek V3.1?

DeepSeek R1 Distill 70B: $0.04/1M input, $0.08/1M 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 70B 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.