o3 vs Llama 3.1 8B Turbo

Compare o3 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

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Feature o3 Llama 3.1 8B Turbo
CategoryReasoningCompact
Parameters~1T8B
Context Window200K128K
Input Price$0.10/1M tokens$0.01/1M tokens
Output Price$0.40/1M tokens$0.02/1M tokens
Latency~2000ms~60ms

Choose o3 when:

  • ✓ Complex calculations
  • ✓ Multi-factor analysis
  • ✓ Research-grade work
Key Strengths:

Extended thinking, Complex logic, Mathematical 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: o3 vs Llama 3.1 8B Turbo

For cost efficiency, Llama 3.1 8B Turbo wins at $0.01/1M input tokens. For speed, o3 is faster at ~2000ms. o3 excels at Complex calculations 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

o3 costs $0.10/1M input tokens and $0.40/1M output tokens. Llama 3.1 8B Turbo costs $0.01 input and $0.02 output. Llama 3.1 8B Turbo is 10.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

o3 has a 200K context window with ~2000ms latency. Llama 3.1 8B Turbo offers 128K context at ~60ms. o3 has the larger context window.

Best For

o3 (Reasoning) is optimized for: Complex calculations, Multi-factor analysis, Research-grade work. 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 o3
response_a = client.chat.completions.create(
    model="o3",
    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"}]
)

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, o3 or Llama 3.1 8B Turbo?

o3 (Reasoning, ~1T) offers Extended thinking. Llama 3.1 8B Turbo (Compact, 8B) offers Extremely fast. Choose o3 for Complex calculations or Llama 3.1 8B Turbo for Intent classification.

How much does o3 cost vs Llama 3.1 8B Turbo?

o3: $0.10/1M input, $0.40/1M 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 o3 and Llama 3.1 8B Turbo 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.