DeepSeek R1 Distill 70B vs Mistral Large 2

Compare DeepSeek R1 Distill 70B 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

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Feature DeepSeek R1 Distill 70B Mistral Large 2
CategoryReasoningOpen Source
Parameters70B123B
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 Mistral Large 2 when:

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

Strong function calling, Good JSON output, Multilingual

Verdict: DeepSeek R1 Distill 70B vs Mistral Large 2

For cost efficiency, DeepSeek R1 Distill 70B wins at $0.04/1M input tokens. For speed, Mistral Large 2 is faster at ~400ms. DeepSeek R1 Distill 70B excels at Production 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 70B costs $0.04/1M input tokens and $0.08/1M output tokens. Mistral Large 2 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. Mistral Large 2 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. 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 70B
response_a = client.chat.completions.create(
    model="deepseek-r1-distill-70b",
    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 70B or Mistral Large 2?

DeepSeek R1 Distill 70B (Reasoning, 70B) offers Reasoning distilled. Mistral Large 2 (Open Source, 123B) offers Strong function calling. Choose DeepSeek R1 Distill 70B for Production reasoning or Mistral Large 2 for API integrations.

How much does DeepSeek R1 Distill 70B cost vs Mistral Large 2?

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