GPT-4o vs Llama 3.1 8B Turbo

Compare GPT-4o and Llama 3.1 8B 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 Llama 3.1 8B Turbo
CategoryFrontierCompact
Parameters~1T8B
Context Window128K128K
Input Price$0.05/1M tokens$0.01/1M tokens
Output Price$0.15/1M tokens$0.02/1M tokens
Latency~400ms~60ms

Choose GPT-4o when:

  • ✓ Chart image analysis
  • ✓ Multimodal Q&A
  • ✓ Content generation
Key Strengths:

Multimodal, Fast for frontier, Strong reasoning

Choose Llama 3.1 8B Turbo when:

  • ✓ Intent classification
  • ✓ Content filtering
  • ✓ Simple Q&A
Key Strengths:

Extremely fast, Very low cost, 128K context

Verdict: GPT-4o vs Llama 3.1 8B Turbo

For cost efficiency, Llama 3.1 8B Turbo wins at $0.01/1M input tokens. For speed, GPT-4o is faster at ~400ms. GPT-4o excels at Chart image analysis while Llama 3.1 8B Turbo is better for Intent classification. 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 costs $0.05/1M input tokens and $0.15/1M output tokens. Llama 3.1 8B Turbo costs $0.01 input and $0.02 output. Llama 3.1 8B Turbo is 5.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

GPT-4o has a 128K context window with ~400ms latency. Llama 3.1 8B Turbo offers 128K context at ~60ms. Both have identical context windows.

Best For

GPT-4o (Frontier) is optimized for: Chart image analysis, Multimodal Q&A, Content generation. Llama 3.1 8B Turbo (Compact) works best for: Intent classification, Content filtering, Simple Q&A.

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
response_a = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Llama 3.1 8B Turbo
response_b = client.chat.completions.create(
    model="llama-3-1-8b-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 or Llama 3.1 8B Turbo?

GPT-4o (Frontier, ~1T) offers Multimodal. Llama 3.1 8B Turbo (Compact, 8B) offers Extremely fast. Choose GPT-4o for Chart image analysis or Llama 3.1 8B Turbo for Intent classification.

How much does GPT-4o cost vs Llama 3.1 8B Turbo?

GPT-4o: $0.05/1M input, $0.15/1M output. Llama 3.1 8B Turbo: $0.01/1M input, $0.02/1M 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 and Llama 3.1 8B Turbo by changing the model parameter. No code changes needed.

Related Comparisons

GPT-4o vs GPT-4.1 GPT-4o vs GPT-4.1 Mini GPT-4o vs GPT-4.1 Nano GPT-4o vs GPT-4o Mini GPT-4o vs Claude Opus 4 GPT-4o vs Claude Sonnet 4

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