Llama 3.1 8B Turbo vs FLUX 1.1 Pro
Compare Llama 3.1 8B Turbo and FLUX 1.1 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 | FLUX 1.1 Pro |
|---|---|---|
| Category | Compact | Image |
| Parameters | 8B | 24B |
| Context Window | 128K | N/A |
| Input Price | $0.01/1M tokens | $0.05/image/1M tokens |
| Output Price | $0.02/1M tokens | N/A/1M tokens |
| Latency | ~60ms | ~4s |
Choose Llama 3.1 8B Turbo when:
- ✓ Intent classification
- ✓ Content filtering
- ✓ Simple Q&A
Extremely fast, Very low cost, 128K context
Choose FLUX 1.1 Pro when:
- ✓ Premium marketing
- ✓ Temple artwork
- ✓ Product photography
Highest quality, Best prompt adherence, Professional grade
Verdict: Llama 3.1 8B Turbo vs FLUX 1.1 Pro
For cost efficiency, Llama 3.1 8B Turbo wins at $0.01/1M input tokens. For speed, FLUX 1.1 Pro is faster at ~4s. Llama 3.1 8B Turbo excels at Intent classification while FLUX 1.1 Pro is better for Premium marketing. 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. FLUX 1.1 Pro costs $0.05/image input and N/A output. Llama 3.1 8B Turbo is 5.0x 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. FLUX 1.1 Pro offers N/A context at ~4s. 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. FLUX 1.1 Pro (Image) works best for: Premium marketing, Temple artwork, Product photography.
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 FLUX 1.1 Pro
response_b = client.chat.completions.create(
model="flux-1-1-pro",
messages=[{"role": "user", "content": "Your question here"}]
)
Frequently Asked Questions
Which is better, Llama 3.1 8B Turbo or FLUX 1.1 Pro?
Llama 3.1 8B Turbo (Compact, 8B) offers Extremely fast. FLUX 1.1 Pro (Image, 24B) offers Highest quality. Choose Llama 3.1 8B Turbo for Intent classification or FLUX 1.1 Pro for Premium marketing.
How much does Llama 3.1 8B Turbo cost vs FLUX 1.1 Pro?
Llama 3.1 8B Turbo: $0.01/1M input, $0.02/1M output. FLUX 1.1 Pro: $0.05/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 8B Turbo and FLUX 1.1 Pro by changing the model parameter. No code changes needed.
Related Comparisons
Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.