DeepSeek R1 Distill 8B vs Phi-3.5 Mini

Compare DeepSeek R1 Distill 8B and Phi-3.5 Mini: 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 8B Phi-3.5 Mini
CategoryReasoningCompact
Parameters8B3.8B
Context Window128K128K
Input Price$0.01/1M tokens$0.005/1M tokens
Output Price$0.02/1M tokens$0.01/1M tokens
Latency~100ms~50ms

Choose DeepSeek R1 Distill 8B when:

  • ✓ Simple reasoning
  • ✓ Classification with logic
  • ✓ Edge
Key Strengths:

Very fast reasoning, Low cost, Compact

Choose Phi-3.5 Mini when:

  • ✓ Simple Q&A
  • ✓ Classification
  • ✓ Edge inference
Key Strengths:

128K context in tiny model, Ultra-low cost, Fast

Verdict: DeepSeek R1 Distill 8B vs Phi-3.5 Mini

For cost efficiency, Phi-3.5 Mini wins at $0.005/1M input tokens. For speed, DeepSeek R1 Distill 8B is faster at ~100ms. DeepSeek R1 Distill 8B excels at Simple reasoning while Phi-3.5 Mini is better for Simple Q&A. 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. Phi-3.5 Mini costs $0.005 input and $0.01 output. Phi-3.5 Mini is 2.0x 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. Phi-3.5 Mini offers 128K context at ~50ms. Both have identical context windows.

Best For

DeepSeek R1 Distill 8B (Reasoning) is optimized for: Simple reasoning, Classification with logic, Edge. Phi-3.5 Mini (Compact) works best for: Simple Q&A, Classification, Edge inference.

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 Phi-3.5 Mini
response_b = client.chat.completions.create(
    model="phi-3-5-mini",
    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 8B or Phi-3.5 Mini?

DeepSeek R1 Distill 8B (Reasoning, 8B) offers Very fast reasoning. Phi-3.5 Mini (Compact, 3.8B) offers 128K context in tiny model. Choose DeepSeek R1 Distill 8B for Simple reasoning or Phi-3.5 Mini for Simple Q&A.

How much does DeepSeek R1 Distill 8B cost vs Phi-3.5 Mini?

DeepSeek R1 Distill 8B: $0.01/1M input, $0.02/1M output. Phi-3.5 Mini: $0.005/1M input, $0.01/1M 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 Phi-3.5 Mini 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.