o3 Mini vs Llama 3.1 8B Turbo
Compare o3 Mini 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
| Feature | o3 Mini | Llama 3.1 8B Turbo |
|---|---|---|
| Category | Reasoning | Compact |
| Parameters | ~200B | 8B |
| Context Window | 200K | 128K |
| Input Price | $0.04/1M tokens | $0.01/1M tokens |
| Output Price | $0.16/1M tokens | $0.02/1M tokens |
| Latency | ~1000ms | ~60ms |
Choose o3 Mini when:
- ✓ Structured analysis
- ✓ Quick reasoning
- ✓ Scoring tasks
Fast reasoning, Good logic chains, Cost-efficient
Choose Llama 3.1 8B Turbo when:
- ✓ Intent classification
- ✓ Content filtering
- ✓ Simple Q&A
Extremely fast, Very low cost, 128K context
Verdict: o3 Mini vs Llama 3.1 8B Turbo
For cost efficiency, Llama 3.1 8B Turbo wins at $0.01/1M input tokens. For speed, o3 Mini is faster at ~1000ms. o3 Mini excels at Structured 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
o3 Mini costs $0.04/1M input tokens and $0.16/1M output tokens. Llama 3.1 8B Turbo costs $0.01 input and $0.02 output. Llama 3.1 8B Turbo is 4.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
o3 Mini has a 200K context window with ~1000ms latency. Llama 3.1 8B Turbo offers 128K context at ~60ms. o3 Mini has the larger context window.
Best For
o3 Mini (Reasoning) is optimized for: Structured analysis, Quick reasoning, Scoring tasks. 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 Mini
response_a = client.chat.completions.create(
model="o3-mini",
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"}]
)
Frequently Asked Questions
Which is better, o3 Mini or Llama 3.1 8B Turbo?
o3 Mini (Reasoning, ~200B) offers Fast reasoning. Llama 3.1 8B Turbo (Compact, 8B) offers Extremely fast. Choose o3 Mini for Structured analysis or Llama 3.1 8B Turbo for Intent classification.
How much does o3 Mini cost vs Llama 3.1 8B Turbo?
o3 Mini: $0.04/1M input, $0.16/1M 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 Mini 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.