o4-mini vs Aya Expanse 32B

Compare o4-mini and Aya Expanse 32B: 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 Cohere models What is an LLM API? Python Quickstart What is inference?
Feature o4-mini Aya Expanse 32B
CategoryReasoningOpen Source
Parameters~200B32B
Context Window200K128K
Input Price$0.03/1M tokens$0.03/1M tokens
Output Price$0.12/1M tokens$0.06/1M tokens
Latency~800ms~250ms

Choose o4-mini when:

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

Fast reasoning, Cost-efficient, 200K context

Choose Aya Expanse 32B when:

  • ✓ Multilingual apps
  • ✓ Translation
  • ✓ Global content
Key Strengths:

23 languages, Open weights, Strong multilingual

Verdict: o4-mini vs Aya Expanse 32B

For cost efficiency, Aya Expanse 32B wins at $0.03/1M input tokens. For speed, Aya Expanse 32B is faster at ~250ms. o4-mini excels at Kundali scoring while Aya Expanse 32B is better for Multilingual 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. Aya Expanse 32B costs $0.03 input and $0.06 output. Both models are similarly priced. XALEN offers batch processing at 50% discount on both models.

Performance & Context

o4-mini has a 200K context window with ~800ms latency. Aya Expanse 32B offers 128K context at ~250ms. o4-mini has the larger context window.

Best For

o4-mini (Reasoning) is optimized for: Kundali scoring, Compatibility analysis, Decision systems. Aya Expanse 32B (Open Source) works best for: Multilingual apps, Translation, Global content.

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 Aya Expanse 32B
response_b = client.chat.completions.create(
    model="c4ai-aya-expanse-32b",
    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 Aya Expanse 32B?

o4-mini (Reasoning, ~200B) offers Fast reasoning. Aya Expanse 32B (Open Source, 32B) offers 23 languages. Choose o4-mini for Kundali scoring or Aya Expanse 32B for Multilingual apps.

How much does o4-mini cost vs Aya Expanse 32B?

o4-mini: $0.03/1M input, $0.12/1M output. Aya Expanse 32B: $0.03/1M input, $0.06/1M 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 Aya Expanse 32B 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.