Llama 3.1 8B Turbo vs Solar Pro
Compare Llama 3.1 8B Turbo and Solar Pro: 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 8B Turbo | Solar Pro |
|---|---|---|
| Category | Compact | Open Source |
| Parameters | 8B | 22B |
| Context Window | 128K | 32K |
| Input Price | $0.01/1M tokens | $0.02/1M tokens |
| Output Price | $0.02/1M tokens | $0.04/1M tokens |
| Latency | ~60ms | ~180ms |
Choose Llama 3.1 8B Turbo when:
- ✓ Intent classification
- ✓ Content filtering
- ✓ Simple Q&A
Extremely fast, Very low cost, 128K context
Choose Solar Pro when:
- ✓ General purpose
- ✓ Korean content
- ✓ Chatbots
Good instruction following, Compact, Efficient
Verdict: Llama 3.1 8B Turbo vs Solar Pro
For cost efficiency, Llama 3.1 8B Turbo wins at $0.01/1M input tokens. For speed, Solar Pro is faster at ~180ms. Llama 3.1 8B Turbo excels at Intent classification while Solar Pro is better for General purpose. 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 8B Turbo costs $0.01/1M input tokens and $0.02/1M output tokens. Solar Pro costs $0.02 input and $0.04 output. Llama 3.1 8B Turbo is 2.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Llama 3.1 8B Turbo has a 128K context window with ~60ms latency. Solar Pro offers 32K context at ~180ms. Llama 3.1 8B Turbo has the larger context window.
Best For
Llama 3.1 8B Turbo (Compact) is optimized for: Intent classification, Content filtering, Simple Q&A. Solar Pro (Open Source) works best for: General purpose, Korean content, Chatbots.
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 8B Turbo
response_a = client.chat.completions.create(
model="llama-3-1-8b-turbo",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use Solar Pro
response_b = client.chat.completions.create(
model="solar-pro",
messages=[{"role": "user", "content": "Your question here"}]
)
Frequently Asked Questions
Which is better, Llama 3.1 8B Turbo or Solar Pro?
Llama 3.1 8B Turbo (Compact, 8B) offers Extremely fast. Solar Pro (Open Source, 22B) offers Good instruction following. Choose Llama 3.1 8B Turbo for Intent classification or Solar Pro for General purpose.
How much does Llama 3.1 8B Turbo cost vs Solar Pro?
Llama 3.1 8B Turbo: $0.01/1M input, $0.02/1M output. Solar Pro: $0.02/1M input, $0.04/1M 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 8B Turbo and Solar Pro 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.