Llama 3.1 70B Turbo vs FLUX 1.1 Pro

Compare Llama 3.1 70B 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

All Meta models All Black Forest Labs models What is an LLM API? Python Quickstart What is inference?
Feature Llama 3.1 70B Turbo FLUX 1.1 Pro
CategoryOpen SourceImage
Parameters70B24B
Context Window128KN/A
Input Price$0.04/1M tokens$0.05/image/1M tokens
Output Price$0.06/1M tokensN/A/1M tokens
Latency~250ms~4s

Choose Llama 3.1 70B Turbo when:

  • ✓ Production APIs
  • ✓ Fast generation
  • ✓ General purpose
Key Strengths:

Fast inference, Good quality, Well-tested

Choose FLUX 1.1 Pro when:

  • ✓ Premium marketing
  • ✓ Temple artwork
  • ✓ Product photography
Key Strengths:

Highest quality, Best prompt adherence, Professional grade

Verdict: Llama 3.1 70B Turbo vs FLUX 1.1 Pro

For cost efficiency, Llama 3.1 70B Turbo wins at $0.04/1M input tokens. For speed, Llama 3.1 70B Turbo is faster at ~250ms. Llama 3.1 70B Turbo excels at Production APIs 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 70B Turbo costs $0.04/1M input tokens and $0.06/1M output tokens. FLUX 1.1 Pro costs $0.05/image input and N/A output. Llama 3.1 70B Turbo is 1.3x 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. FLUX 1.1 Pro offers N/A context at ~4s. 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. 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 70B Turbo
response_a = client.chat.completions.create(
    model="llama-3-1-70b-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"}]
)

Start Building with XALEN

200+ AI models. One API. Pay-as-you-go.

Get API Key Try in Playground

Frequently Asked Questions

Which is better, Llama 3.1 70B Turbo or FLUX 1.1 Pro?

Llama 3.1 70B Turbo (Open Source, 70B) offers Fast inference. FLUX 1.1 Pro (Image, 24B) offers Highest quality. Choose Llama 3.1 70B Turbo for Production APIs or FLUX 1.1 Pro for Premium marketing.

How much does Llama 3.1 70B Turbo cost vs FLUX 1.1 Pro?

Llama 3.1 70B Turbo: $0.04/1M input, $0.06/1M 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 70B Turbo and FLUX 1.1 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.