Llama 3.1 70B Turbo vs SD 3.5 Medium
Compare Llama 3.1 70B Turbo and SD 3.5 Medium: 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 | SD 3.5 Medium |
|---|---|---|
| Category | Open Source | Image |
| Parameters | 70B | 2.5B |
| Context Window | 128K | N/A |
| Input Price | $0.04/1M tokens | $0.003/image/1M tokens |
| Output Price | $0.06/1M tokens | N/A/1M tokens |
| Latency | ~250ms | ~2s |
Choose Llama 3.1 70B Turbo when:
- ✓ Production APIs
- ✓ Fast generation
- ✓ General purpose
Fast inference, Good quality, Well-tested
Choose SD 3.5 Medium when:
- ✓ General imagery
- ✓ Batch generation
- ✓ Prototyping
Good quality, Fast, Open weights
Verdict: Llama 3.1 70B Turbo vs SD 3.5 Medium
For cost efficiency, SD 3.5 Medium wins at $0.003/image/1M input tokens. For speed, Llama 3.1 70B Turbo is faster at ~250ms. Llama 3.1 70B Turbo excels at Production APIs while SD 3.5 Medium is better for General imagery. 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. SD 3.5 Medium costs $0.003/image input and N/A output. SD 3.5 Medium is 13.3x 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. SD 3.5 Medium offers N/A context at ~2s. 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. SD 3.5 Medium (Image) works best for: General imagery, Batch generation, Prototyping.
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 SD 3.5 Medium
response_b = client.chat.completions.create(
model="stable-diffusion-3-5-medium",
messages=[{"role": "user", "content": "Your question here"}]
)
Frequently Asked Questions
Which is better, Llama 3.1 70B Turbo or SD 3.5 Medium?
Llama 3.1 70B Turbo (Open Source, 70B) offers Fast inference. SD 3.5 Medium (Image, 2.5B) offers Good quality. Choose Llama 3.1 70B Turbo for Production APIs or SD 3.5 Medium for General imagery.
How much does Llama 3.1 70B Turbo cost vs SD 3.5 Medium?
Llama 3.1 70B Turbo: $0.04/1M input, $0.06/1M output. SD 3.5 Medium: $0.003/image/1M input, N/A/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 SD 3.5 Medium 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.