Llama 3.1 405B vs FLUX 1.1 Pro Ultra

Compare Llama 3.1 405B and FLUX 1.1 Pro Ultra: 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 405B FLUX 1.1 Pro Ultra
CategoryOpen SourceImage
Parameters405B~30B
Context Window128KN/A
Input Price$0.08/1M tokens$0.06/image/1M tokens
Output Price$0.14/1M tokensN/A/1M tokens
Latency~600ms~6s

Choose Llama 3.1 405B when:

  • ✓ Premium tasks
  • ✓ Research
  • ✓ Fine-tuning base
Key Strengths:

Largest open model, Highest open-source quality

Choose FLUX 1.1 Pro Ultra when:

  • ✓ Print-quality imagery
  • ✓ Ultra-HD content
  • ✓ Professional art
Key Strengths:

Ultra quality, 4K output, Best detail

Verdict: Llama 3.1 405B vs FLUX 1.1 Pro Ultra

For cost efficiency, FLUX 1.1 Pro Ultra wins at $0.06/image/1M input tokens. For speed, Llama 3.1 405B is faster at ~600ms. Llama 3.1 405B excels at Premium tasks while FLUX 1.1 Pro Ultra is better for Print-quality 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 405B costs $0.08/1M input tokens and $0.14/1M output tokens. FLUX 1.1 Pro Ultra costs $0.06/image input and N/A output. FLUX 1.1 Pro Ultra is 1.3x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.1 405B has a 128K context window with ~600ms latency. FLUX 1.1 Pro Ultra offers N/A context at ~6s. Llama 3.1 405B has the larger context window.

Best For

Llama 3.1 405B (Open Source) is optimized for: Premium tasks, Research, Fine-tuning base. FLUX 1.1 Pro Ultra (Image) works best for: Print-quality imagery, Ultra-HD content, Professional art.

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 405B
response_a = client.chat.completions.create(
    model="llama-3-1-405b",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use FLUX 1.1 Pro Ultra
response_b = client.chat.completions.create(
    model="flux-1-1-pro-ultra",
    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 405B or FLUX 1.1 Pro Ultra?

Llama 3.1 405B (Open Source, 405B) offers Largest open model. FLUX 1.1 Pro Ultra (Image, ~30B) offers Ultra quality. Choose Llama 3.1 405B for Premium tasks or FLUX 1.1 Pro Ultra for Print-quality imagery.

How much does Llama 3.1 405B cost vs FLUX 1.1 Pro Ultra?

Llama 3.1 405B: $0.08/1M input, $0.14/1M output. FLUX 1.1 Pro Ultra: $0.06/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 405B and FLUX 1.1 Pro Ultra by changing the model parameter. No code changes needed.

Related Comparisons

Llama 3.1 405B vs DALL-E 3 Llama 3.1 405B vs Gemma 3 27B Llama 3.1 405B vs Imagen 3 Llama 3.1 405B vs Llama 4 Scout Llama 3.1 405B vs Llama 4 Maverick Llama 3.1 405B vs Llama 3.3 70B

Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.