Llama 3.3 70B vs SD 3.5 Medium
Compare Llama 3.3 70B 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 3.3 70B | 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 | ~300ms | ~2s |
Choose Llama 3.3 70B when:
- ✓ General Q&A
- ✓ Hindi chatbots
- ✓ Content generation
Proven reliability, Good Hindi/Tamil, 128K context
Choose SD 3.5 Medium when:
- ✓ General imagery
- ✓ Batch generation
- ✓ Prototyping
Good quality, Fast, Open weights
Verdict: Llama 3.3 70B vs SD 3.5 Medium
For cost efficiency, SD 3.5 Medium wins at $0.003/image/1M input tokens. For speed, SD 3.5 Medium is faster at ~2s. Llama 3.3 70B excels at General Q&A 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 3.3 70B 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 3.3 70B has a 128K context window with ~300ms latency. SD 3.5 Medium offers N/A context at ~2s. Llama 3.3 70B has the larger context window.
Best For
Llama 3.3 70B (Open Source) is optimized for: General Q&A, Hindi chatbots, Content generation. 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 3.3 70B
response_a = client.chat.completions.create(
model="llama-3-3-70b",
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 3.3 70B or SD 3.5 Medium?
Llama 3.3 70B (Open Source, 70B) offers Proven reliability. SD 3.5 Medium (Image, 2.5B) offers Good quality. Choose Llama 3.3 70B for General Q&A or SD 3.5 Medium for General imagery.
How much does Llama 3.3 70B cost vs SD 3.5 Medium?
Llama 3.3 70B: $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 3.3 70B 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.