DeepSeek R1 vs Mistral Medium 3

Compare DeepSeek R1 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

All DeepSeek models All Mistral models What is an LLM API? Python Quickstart What is inference?
Feature DeepSeek R1 Mistral Medium 3
CategoryReasoningOpen Source
Parameters671B70B
Context Window128K128K
Input Price$0.08/1M tokens$0.04/1M tokens
Output Price$0.15/1M tokens$0.08/1M tokens
Latency~800ms~300ms

Choose DeepSeek R1 when:

  • ✓ Complex yoga calculations
  • ✓ Dasha analysis
  • ✓ Research-grade analysis
Key Strengths:

Chain-of-thought, Complex calculations, Transparent thinking

Choose Mistral Medium 3 when:

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

Good balance, Strong function calling, Reliable

Verdict: DeepSeek R1 vs Mistral Medium 3

For cost efficiency, Mistral Medium 3 wins at $0.04/1M input tokens. For speed, Mistral Medium 3 is faster at ~300ms. DeepSeek R1 excels at Complex yoga calculations 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 costs $0.08/1M input tokens and $0.15/1M output tokens. Mistral Medium 3 costs $0.04 input and $0.08 output. Mistral Medium 3 is 2.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

DeepSeek R1 has a 128K context window with ~800ms latency. Mistral Medium 3 offers 128K context at ~300ms. Both have identical context windows.

Best For

DeepSeek R1 (Reasoning) is optimized for: Complex yoga calculations, Dasha analysis, Research-grade analysis. 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
response_a = client.chat.completions.create(
    model="deepseek-r1",
    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"}]
)

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 R1 or Mistral Medium 3?

DeepSeek R1 (Reasoning, 671B) offers Chain-of-thought. Mistral Medium 3 (Open Source, 70B) offers Good balance. Choose DeepSeek R1 for Complex yoga calculations or Mistral Medium 3 for Production APIs.

How much does DeepSeek R1 cost vs Mistral Medium 3?

DeepSeek R1: $0.08/1M input, $0.15/1M 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 and Mistral Medium 3 by changing the model parameter. No code changes needed.

Related Comparisons

DeepSeek R1 vs o3 DeepSeek R1 vs o3 Mini DeepSeek R1 vs o4-mini DeepSeek R1 vs Gemma 3 27B DeepSeek R1 vs Llama 4 Scout DeepSeek R1 vs Llama 4 Maverick

Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.