FLUX 1.1 Pro vs NVIDIA Nemotron 70B

Compare FLUX 1.1 Pro and NVIDIA Nemotron 70B: 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 Black Forest Labs models All NVIDIA models What is an LLM API? Python Quickstart What is inference?
Feature FLUX 1.1 Pro NVIDIA Nemotron 70B
CategoryImageOpen Source
Parameters24B70B
Context WindowN/A128K
Input Price$0.05/image/1M tokens$0.04/1M tokens
Output PriceN/A/1M tokens$0.06/1M tokens
Latency~4s~300ms

Choose FLUX 1.1 Pro when:

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

Highest quality, Best prompt adherence, Professional grade

Choose NVIDIA Nemotron 70B when:

  • ✓ Helpful chatbots
  • ✓ Customer service
  • ✓ Q&A
Key Strengths:

Optimized for helpfulness, Strong quality, Good reasoning

Verdict: FLUX 1.1 Pro vs NVIDIA Nemotron 70B

For cost efficiency, NVIDIA Nemotron 70B wins at $0.04/1M input tokens. For speed, NVIDIA Nemotron 70B is faster at ~300ms. FLUX 1.1 Pro excels at Premium marketing while NVIDIA Nemotron 70B is better for Helpful chatbots. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

FLUX 1.1 Pro costs $0.05/image/1M input tokens and N/A/1M output tokens. NVIDIA Nemotron 70B costs $0.04 input and $0.06 output. NVIDIA Nemotron 70B is 1.3x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

FLUX 1.1 Pro has a N/A context window with ~4s latency. NVIDIA Nemotron 70B offers 128K context at ~300ms. NVIDIA Nemotron 70B has the larger context window.

Best For

FLUX 1.1 Pro (Image) is optimized for: Premium marketing, Temple artwork, Product photography. NVIDIA Nemotron 70B (Open Source) works best for: Helpful chatbots, Customer service, Q&A.

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 FLUX 1.1 Pro
response_a = client.chat.completions.create(
    model="flux-1-1-pro",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use NVIDIA Nemotron 70B
response_b = client.chat.completions.create(
    model="nvidia-llama-3-1-nemotron-70b",
    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, FLUX 1.1 Pro or NVIDIA Nemotron 70B?

FLUX 1.1 Pro (Image, 24B) offers Highest quality. NVIDIA Nemotron 70B (Open Source, 70B) offers Optimized for helpfulness. Choose FLUX 1.1 Pro for Premium marketing or NVIDIA Nemotron 70B for Helpful chatbots.

How much does FLUX 1.1 Pro cost vs NVIDIA Nemotron 70B?

FLUX 1.1 Pro: $0.05/image/1M input, N/A/1M output. NVIDIA Nemotron 70B: $0.04/1M input, $0.06/1M 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 FLUX 1.1 Pro and NVIDIA Nemotron 70B by changing the model parameter. No code changes needed.

Related Comparisons

FLUX 1.1 Pro vs DALL-E 3 FLUX 1.1 Pro vs Gemma 3 27B FLUX 1.1 Pro vs Imagen 3 FLUX 1.1 Pro vs Llama 4 Scout FLUX 1.1 Pro vs Llama 4 Maverick FLUX 1.1 Pro vs Llama 3.3 70B

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