DeepSeek V3 vs DeepSeek R1 Distill 32B

Compare DeepSeek V3 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

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Feature DeepSeek V3 DeepSeek R1 Distill 32B
CategoryOpen SourceReasoning
Parameters671B (37B active)32B
Context Window128K128K
Input Price$0.05/1M tokens$0.03/1M tokens
Output Price$0.09/1M tokens$0.06/1M tokens
Latency~400ms~250ms

Choose DeepSeek V3 when:

  • ✓ API response generation
  • ✓ High-volume processing
  • ✓ Code
Key Strengths:

MoE efficiency, Strong coding, Good structured output

Choose DeepSeek R1 Distill 32B when:

  • ✓ Production reasoning
  • ✓ Analysis
  • ✓ Structured tasks
Key Strengths:

Good reasoning, Moderate cost, Fast

Verdict: DeepSeek V3 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 V3 excels at API response generation 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 V3 costs $0.05/1M input tokens and $0.09/1M output tokens. DeepSeek R1 Distill 32B costs $0.03 input and $0.06 output. DeepSeek R1 Distill 32B is 1.7x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

DeepSeek V3 has a 128K context window with ~400ms latency. DeepSeek R1 Distill 32B offers 128K context at ~250ms. Both have identical context windows.

Best For

DeepSeek V3 (Open Source) is optimized for: API response generation, High-volume processing, Code. 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 V3
response_a = client.chat.completions.create(
    model="deepseek-v3",
    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"}]
)

Start Building with XALEN

200+ AI models. One API. Pay-as-you-go.

Get API Key Try in Playground

Frequently Asked Questions

Which is better, DeepSeek V3 or DeepSeek R1 Distill 32B?

DeepSeek V3 (Open Source, 671B (37B active)) offers MoE efficiency. DeepSeek R1 Distill 32B (Reasoning, 32B) offers Good reasoning. Choose DeepSeek V3 for API response generation or DeepSeek R1 Distill 32B for Production reasoning.

How much does DeepSeek V3 cost vs DeepSeek R1 Distill 32B?

DeepSeek V3: $0.05/1M input, $0.09/1M 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 V3 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.