o4-mini vs Llama 3.1 405B

Compare o4-mini and Llama 3.1 405B: 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 o4-mini Llama 3.1 405B
CategoryReasoningOpen Source
Parameters~200B405B
Context Window200K128K
Input Price$0.03/1M tokens$0.08/1M tokens
Output Price$0.12/1M tokens$0.14/1M tokens
Latency~800ms~600ms

Choose o4-mini when:

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

Fast reasoning, Cost-efficient, 200K context

Choose Llama 3.1 405B when:

  • ✓ Premium tasks
  • ✓ Research
  • ✓ Fine-tuning base
Key Strengths:

Largest open model, Highest open-source quality

Verdict: o4-mini vs Llama 3.1 405B

For cost efficiency, o4-mini wins at $0.03/1M input tokens. For speed, Llama 3.1 405B is faster at ~600ms. o4-mini excels at Kundali scoring while Llama 3.1 405B is better for Premium 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

o4-mini costs $0.03/1M input tokens and $0.12/1M output tokens. Llama 3.1 405B costs $0.08 input and $0.14 output. o4-mini is 2.7x 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. Llama 3.1 405B offers 128K context at ~600ms. o4-mini has the larger context window.

Best For

o4-mini (Reasoning) is optimized for: Kundali scoring, Compatibility analysis, Decision systems. Llama 3.1 405B (Open Source) works best for: Premium tasks, Research, Fine-tuning base.

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 Llama 3.1 405B
response_b = client.chat.completions.create(
    model="llama-3-1-405b",
    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, o4-mini or Llama 3.1 405B?

o4-mini (Reasoning, ~200B) offers Fast reasoning. Llama 3.1 405B (Open Source, 405B) offers Largest open model. Choose o4-mini for Kundali scoring or Llama 3.1 405B for Premium tasks.

How much does o4-mini cost vs Llama 3.1 405B?

o4-mini: $0.03/1M input, $0.12/1M output. Llama 3.1 405B: $0.08/1M input, $0.14/1M 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 Llama 3.1 405B 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.