DALL-E 3 vs Llama 3.1 405B

Compare DALL-E 3 and Llama 3.1 405B: 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 OpenAI models All Meta models What is an LLM API? Python Quickstart What is inference?
Feature DALL-E 3 Llama 3.1 405B
CategoryImageOpen Source
Parameters~12B405B
Context WindowN/A128K
Input Price$0.04/image/1M tokens$0.08/1M tokens
Output PriceN/A/1M tokens$0.14/1M tokens
Latency~5s~600ms

Choose DALL-E 3 when:

  • ✓ Marketing imagery
  • ✓ Content illustrations
  • ✓ Social media graphics
Key Strengths:

Good text in images, Prompt adherence, Safe outputs

Choose Llama 3.1 405B when:

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

Largest open model, Highest open-source quality

Verdict: DALL-E 3 vs Llama 3.1 405B

For cost efficiency, DALL-E 3 wins at $0.04/image/1M input tokens. For speed, DALL-E 3 is faster at ~5s. DALL-E 3 excels at Marketing imagery while Llama 3.1 405B is better for Premium tasks. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

DALL-E 3 costs $0.04/image/1M input tokens and N/A/1M output tokens. Llama 3.1 405B costs $0.08 input and $0.14 output. DALL-E 3 is 2.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

DALL-E 3 has a N/A context window with ~5s latency. Llama 3.1 405B offers 128K context at ~600ms. Llama 3.1 405B has the larger context window.

Best For

DALL-E 3 (Image) is optimized for: Marketing imagery, Content illustrations, Social media graphics. Llama 3.1 405B (Open Source) works best for: Premium tasks, Research, Fine-tuning base.

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 DALL-E 3
response_a = client.chat.completions.create(
    model="dall-e-3",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Llama 3.1 405B
response_b = client.chat.completions.create(
    model="llama-3-1-405b",
    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, DALL-E 3 or Llama 3.1 405B?

DALL-E 3 (Image, ~12B) offers Good text in images. Llama 3.1 405B (Open Source, 405B) offers Largest open model. Choose DALL-E 3 for Marketing imagery or Llama 3.1 405B for Premium tasks.

How much does DALL-E 3 cost vs Llama 3.1 405B?

DALL-E 3: $0.04/image/1M input, N/A/1M output. Llama 3.1 405B: $0.08/1M input, $0.14/1M 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 DALL-E 3 and Llama 3.1 405B by changing the model parameter. No code changes needed.

Related Comparisons

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

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