DeepSeek V3.1 vs Mistral Small 3.1

Compare DeepSeek V3.1 and Mistral Small 3.1: 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 V3.1 Mistral Small 3.1
CategoryOpen SourceCompact
Parameters685B (37B active)24B
Context Window128K128K
Input Price$0.06/1M tokens$0.02/1M tokens
Output Price$0.10/1M tokens$0.04/1M tokens
Latency~400ms~120ms

Choose DeepSeek V3.1 when:

  • ✓ Production apps
  • ✓ Content generation
  • ✓ Multi-language
Key Strengths:

Improved quality, Better safety, Stronger multilingual

Choose Mistral Small 3.1 when:

  • ✓ Lightweight tasks
  • ✓ Classification
  • ✓ Simple generation
Key Strengths:

128K context, Low cost, Fast

Verdict: DeepSeek V3.1 vs Mistral Small 3.1

For cost efficiency, Mistral Small 3.1 wins at $0.02/1M input tokens. For speed, Mistral Small 3.1 is faster at ~120ms. DeepSeek V3.1 excels at Production apps while Mistral Small 3.1 is better for Lightweight tasks. 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 V3.1 costs $0.06/1M input tokens and $0.10/1M output tokens. Mistral Small 3.1 costs $0.02 input and $0.04 output. Mistral Small 3.1 is 3.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

DeepSeek V3.1 has a 128K context window with ~400ms latency. Mistral Small 3.1 offers 128K context at ~120ms. Both have identical context windows.

Best For

DeepSeek V3.1 (Open Source) is optimized for: Production apps, Content generation, Multi-language. Mistral Small 3.1 (Compact) works best for: Lightweight tasks, Classification, Simple generation.

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 V3.1
response_a = client.chat.completions.create(
    model="deepseek-v3-1",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Mistral Small 3.1
response_b = client.chat.completions.create(
    model="mistral-small-3-1",
    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 V3.1 or Mistral Small 3.1?

DeepSeek V3.1 (Open Source, 685B (37B active)) offers Improved quality. Mistral Small 3.1 (Compact, 24B) offers 128K context. Choose DeepSeek V3.1 for Production apps or Mistral Small 3.1 for Lightweight tasks.

How much does DeepSeek V3.1 cost vs Mistral Small 3.1?

DeepSeek V3.1: $0.06/1M input, $0.10/1M output. Mistral Small 3.1: $0.02/1M input, $0.04/1M 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 V3.1 and Mistral Small 3.1 by changing the model parameter. No code changes needed.

Related Comparisons

DeepSeek V3.1 vs GPT-4.1 Nano DeepSeek V3.1 vs GPT-4o Mini DeepSeek V3.1 vs Claude Haiku 3.5 DeepSeek V3.1 vs Gemma 3 27B DeepSeek V3.1 vs Gemma 3 12B DeepSeek V3.1 vs Gemma 3 4B

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