Llama 3.1 70B Turbo vs Llama Guard 3 8B
Compare Llama 3.1 70B Turbo and Llama Guard 3 8B: 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 | Llama 3.1 70B Turbo | Llama Guard 3 8B |
|---|---|---|
| Category | Open Source | Safety |
| Parameters | 70B | 8B |
| Context Window | 128K | 128K |
| Input Price | $0.04/1M tokens | $0.01/1M tokens |
| Output Price | $0.06/1M tokens | $0.02/1M tokens |
| Latency | ~250ms | ~60ms |
Choose Llama 3.1 70B Turbo when:
- ✓ Production APIs
- ✓ Fast generation
- ✓ General purpose
Fast inference, Good quality, Well-tested
Choose Llama Guard 3 8B when:
- ✓ Content moderation
- ✓ Safety filtering
- ✓ Input validation
Safety classification, Fast, Open weights
Verdict: Llama 3.1 70B Turbo vs Llama Guard 3 8B
For cost efficiency, Llama Guard 3 8B wins at $0.01/1M input tokens. For speed, Llama 3.1 70B Turbo is faster at ~250ms. Llama 3.1 70B Turbo excels at Production APIs while Llama Guard 3 8B is better for Content moderation. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.
Detailed Analysis
Pricing Comparison
Llama 3.1 70B Turbo costs $0.04/1M input tokens and $0.06/1M output tokens. Llama Guard 3 8B costs $0.01 input and $0.02 output. Llama Guard 3 8B is 4.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Llama 3.1 70B Turbo has a 128K context window with ~250ms latency. Llama Guard 3 8B offers 128K context at ~60ms. Both have identical context windows.
Best For
Llama 3.1 70B Turbo (Open Source) is optimized for: Production APIs, Fast generation, General purpose. Llama Guard 3 8B (Safety) works best for: Content moderation, Safety filtering, Input validation.
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 Llama 3.1 70B Turbo
response_a = client.chat.completions.create(
model="llama-3-1-70b-turbo",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use Llama Guard 3 8B
response_b = client.chat.completions.create(
model="llama-guard-3-8b",
messages=[{"role": "user", "content": "Your question here"}]
)
Frequently Asked Questions
Which is better, Llama 3.1 70B Turbo or Llama Guard 3 8B?
Llama 3.1 70B Turbo (Open Source, 70B) offers Fast inference. Llama Guard 3 8B (Safety, 8B) offers Safety classification. Choose Llama 3.1 70B Turbo for Production APIs or Llama Guard 3 8B for Content moderation.
How much does Llama 3.1 70B Turbo cost vs Llama Guard 3 8B?
Llama 3.1 70B Turbo: $0.04/1M input, $0.06/1M output. Llama Guard 3 8B: $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 Llama 3.1 70B Turbo and Llama Guard 3 8B 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.