o4-mini vs DeepSeek V3.1

Compare o4-mini and DeepSeek V3.1: 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 OpenAI models All DeepSeek models What is an LLM API? Python Quickstart What is inference?
Feature o4-mini DeepSeek V3.1
CategoryReasoningOpen Source
Parameters~200B685B (37B active)
Context Window200K128K
Input Price$0.03/1M tokens$0.06/1M tokens
Output Price$0.12/1M tokens$0.10/1M tokens
Latency~800ms~400ms

Choose o4-mini when:

  • ✓ Kundali scoring
  • ✓ Compatibility analysis
  • ✓ Decision systems
Key Strengths:

Fast reasoning, Cost-efficient, 200K context

Choose DeepSeek V3.1 when:

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

Improved quality, Better safety, Stronger multilingual

Verdict: o4-mini vs DeepSeek V3.1

For cost efficiency, o4-mini wins at $0.03/1M input tokens. For speed, DeepSeek V3.1 is faster at ~400ms. o4-mini excels at Kundali scoring while DeepSeek V3.1 is better for Production apps. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

o4-mini costs $0.03/1M input tokens and $0.12/1M output tokens. DeepSeek V3.1 costs $0.06 input and $0.10 output. o4-mini is 2.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

o4-mini has a 200K context window with ~800ms latency. DeepSeek V3.1 offers 128K context at ~400ms. o4-mini has the larger context window.

Best For

o4-mini (Reasoning) is optimized for: Kundali scoring, Compatibility analysis, Decision systems. DeepSeek V3.1 (Open Source) works best for: Production apps, Content generation, Multi-language.

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 o4-mini
response_a = client.chat.completions.create(
    model="o4-mini",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use DeepSeek V3.1
response_b = client.chat.completions.create(
    model="deepseek-v3-1",
    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, o4-mini or DeepSeek V3.1?

o4-mini (Reasoning, ~200B) offers Fast reasoning. DeepSeek V3.1 (Open Source, 685B (37B active)) offers Improved quality. Choose o4-mini for Kundali scoring or DeepSeek V3.1 for Production apps.

How much does o4-mini cost vs DeepSeek V3.1?

o4-mini: $0.03/1M input, $0.12/1M output. DeepSeek V3.1: $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 o4-mini and DeepSeek V3.1 by changing the model parameter. No code changes needed.

Related Comparisons

o4-mini vs o3 o4-mini vs o3 Mini o4-mini vs Gemma 3 27B o4-mini vs Llama 4 Scout o4-mini vs Llama 4 Maverick o4-mini vs Llama 3.3 70B

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