DeepSeek R1 Distill 8B vs Mistral Medium 3

Compare DeepSeek R1 Distill 8B and Mistral Medium 3: 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 Mistral Medium 3
CategoryReasoningOpen Source
Parameters8B70B
Context Window128K128K
Input Price$0.01/1M tokens$0.04/1M tokens
Output Price$0.02/1M tokens$0.08/1M tokens
Latency~100ms~300ms

Choose DeepSeek R1 Distill 8B when:

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

Very fast reasoning, Low cost, Compact

Choose Mistral Medium 3 when:

  • ✓ Production APIs
  • ✓ Template filling
  • ✓ General purpose
Key Strengths:

Good balance, Strong function calling, Reliable

Verdict: DeepSeek R1 Distill 8B vs Mistral Medium 3

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 Mistral Medium 3 is better for Production APIs. 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. Mistral Medium 3 costs $0.04 input and $0.08 output. DeepSeek R1 Distill 8B is 4.0x 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. Mistral Medium 3 offers 128K context at ~300ms. Both have identical context windows.

Best For

DeepSeek R1 Distill 8B (Reasoning) is optimized for: Simple reasoning, Classification with logic, Edge. Mistral Medium 3 (Open Source) works best for: Production APIs, Template filling, General purpose.

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 Mistral Medium 3
response_b = client.chat.completions.create(
    model="mistral-medium-3",
    messages=[{"role": "user", "content": "Your question here"}]
)

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, DeepSeek R1 Distill 8B or Mistral Medium 3?

DeepSeek R1 Distill 8B (Reasoning, 8B) offers Very fast reasoning. Mistral Medium 3 (Open Source, 70B) offers Good balance. Choose DeepSeek R1 Distill 8B for Simple reasoning or Mistral Medium 3 for Production APIs.

How much does DeepSeek R1 Distill 8B cost vs Mistral Medium 3?

DeepSeek R1 Distill 8B: $0.01/1M input, $0.02/1M output. Mistral Medium 3: $0.04/1M input, $0.08/1M 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 Mistral Medium 3 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.