Llama 3.1 70B Turbo vs Solar Pro
Compare Llama 3.1 70B 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 70B Turbo | Solar Pro |
|---|---|---|
| Category | Open Source | Open Source |
| Parameters | 70B | 22B |
| Context Window | 128K | 32K |
| Input Price | $0.04/1M tokens | $0.02/1M tokens |
| Output Price | $0.06/1M tokens | $0.04/1M tokens |
| Latency | ~250ms | ~180ms |
Choose Llama 3.1 70B Turbo when:
- ✓ Production APIs
- ✓ Fast generation
- ✓ General purpose
Fast inference, Good quality, Well-tested
Choose Solar Pro when:
- ✓ General purpose
- ✓ Korean content
- ✓ Chatbots
Good instruction following, Compact, Efficient
Verdict: Llama 3.1 70B Turbo vs Solar Pro
For cost efficiency, Solar Pro wins at $0.02/1M input tokens. For speed, Solar Pro is faster at ~180ms. Llama 3.1 70B Turbo excels at Production APIs 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 70B Turbo costs $0.04/1M input tokens and $0.06/1M output tokens. Solar Pro costs $0.02 input and $0.04 output. Solar Pro is 2.0x 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. Solar Pro offers 32K context at ~180ms. Llama 3.1 70B Turbo has the larger context window.
Best For
Llama 3.1 70B Turbo (Open Source) is optimized for: Production APIs, Fast generation, General purpose. 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 70B Turbo
response_a = client.chat.completions.create(
model="llama-3-1-70b-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 70B Turbo or Solar Pro?
Llama 3.1 70B Turbo (Open Source, 70B) offers Fast inference. Solar Pro (Open Source, 22B) offers Good instruction following. Choose Llama 3.1 70B Turbo for Production APIs or Solar Pro for General purpose.
How much does Llama 3.1 70B Turbo cost vs Solar Pro?
Llama 3.1 70B Turbo: $0.04/1M input, $0.06/1M 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 70B 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.