DeepSeek R1 Distill 8B vs Mistral Large 2

Compare DeepSeek R1 Distill 8B and Mistral Large 2: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.

Updated 2026-05-21 · By Abhishek Raj · Our methodology

All DeepSeek models All Mistral models What is an LLM API? Python Quickstart What is inference?
Feature DeepSeek R1 Distill 8B Mistral Large 2
CategoryReasoningOpen Source
Parameters8B123B
Context Window128K128K
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
Key Strengths:

Very fast reasoning, Low cost, Compact

Choose Mistral Large 2 when:

  • ✓ API integrations
  • ✓ Structured data
  • ✓ Workflow automation
Key Strengths:

Strong function calling, Good JSON output, Multilingual

Verdict: DeepSeek R1 Distill 8B vs Mistral Large 2

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 Large 2 is better for API integrations. 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 Large 2 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. Mistral Large 2 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. Mistral Large 2 (Open Source) works best for: API integrations, Structured data, Workflow automation.

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 Large 2
response_b = client.chat.completions.create(
    model="mistral-large-2",
    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 Mistral Large 2?

DeepSeek R1 Distill 8B (Reasoning, 8B) offers Very fast reasoning. Mistral Large 2 (Open Source, 123B) offers Strong function calling. Choose DeepSeek R1 Distill 8B for Simple reasoning or Mistral Large 2 for API integrations.

How much does DeepSeek R1 Distill 8B cost vs Mistral Large 2?

DeepSeek R1 Distill 8B: $0.01/1M input, $0.02/1M output. Mistral Large 2: $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 Mistral Large 2 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.