GPT-4o Mini vs Llama 3.1 70B Turbo

Compare GPT-4o Mini and Llama 3.1 70B Turbo: 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 Meta models What is an LLM API? Python Quickstart What is inference?
Feature GPT-4o Mini Llama 3.1 70B Turbo
CategoryCompactOpen Source
Parameters~70B70B
Context Window128K128K
Input Price$0.015/1M tokens$0.04/1M tokens
Output Price$0.06/1M tokens$0.06/1M tokens
Latency~200ms~250ms

Choose GPT-4o Mini when:

  • ✓ High-volume multimodal
  • ✓ Content filtering
  • ✓ Budget apps
Key Strengths:

Low cost multimodal, Vision capable, Fast

Choose Llama 3.1 70B Turbo when:

  • ✓ Production APIs
  • ✓ Fast generation
  • ✓ General purpose
Key Strengths:

Fast inference, Good quality, Well-tested

Verdict: GPT-4o Mini vs Llama 3.1 70B Turbo

For cost efficiency, GPT-4o Mini wins at $0.015/1M input tokens. For speed, GPT-4o Mini is faster at ~200ms. GPT-4o Mini excels at High-volume multimodal while Llama 3.1 70B Turbo 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

GPT-4o Mini costs $0.015/1M input tokens and $0.06/1M output tokens. Llama 3.1 70B Turbo costs $0.04 input and $0.06 output. GPT-4o Mini is 2.7x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

GPT-4o Mini has a 128K context window with ~200ms latency. Llama 3.1 70B Turbo offers 128K context at ~250ms. Both have identical context windows.

Best For

GPT-4o Mini (Compact) is optimized for: High-volume multimodal, Content filtering, Budget apps. Llama 3.1 70B Turbo (Open Source) works best for: Production APIs, Fast generation, 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 GPT-4o Mini
response_a = client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Llama 3.1 70B Turbo
response_b = client.chat.completions.create(
    model="llama-3-1-70b-turbo",
    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, GPT-4o Mini or Llama 3.1 70B Turbo?

GPT-4o Mini (Compact, ~70B) offers Low cost multimodal. Llama 3.1 70B Turbo (Open Source, 70B) offers Fast inference. Choose GPT-4o Mini for High-volume multimodal or Llama 3.1 70B Turbo for Production APIs.

How much does GPT-4o Mini cost vs Llama 3.1 70B Turbo?

GPT-4o Mini: $0.015/1M input, $0.06/1M output. Llama 3.1 70B Turbo: $0.04/1M 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 GPT-4o Mini and Llama 3.1 70B Turbo by changing the model parameter. No code changes needed.

Related Comparisons

GPT-4o Mini vs GPT-4.1 Nano GPT-4o Mini vs Claude Haiku 3.5 GPT-4o Mini vs Gemma 3 27B GPT-4o Mini vs Gemma 3 12B GPT-4o Mini vs Gemma 3 4B GPT-4o Mini vs Gemini 2.5 Flash Lite

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