DALL-E 3 vs Mistral Small 3.1
Compare DALL-E 3 and Mistral Small 3.1: 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 | DALL-E 3 | Mistral Small 3.1 |
|---|---|---|
| Category | Image | Compact |
| Parameters | ~12B | 24B |
| Context Window | N/A | 128K |
| Input Price | $0.04/image/1M tokens | $0.02/1M tokens |
| Output Price | N/A/1M tokens | $0.04/1M tokens |
| Latency | ~5s | ~120ms |
Choose DALL-E 3 when:
- ✓ Marketing imagery
- ✓ Content illustrations
- ✓ Social media graphics
Good text in images, Prompt adherence, Safe outputs
Choose Mistral Small 3.1 when:
- ✓ Lightweight tasks
- ✓ Classification
- ✓ Simple generation
128K context, Low cost, Fast
Verdict: DALL-E 3 vs Mistral Small 3.1
For cost efficiency, Mistral Small 3.1 wins at $0.02/1M input tokens. For speed, Mistral Small 3.1 is faster at ~120ms. DALL-E 3 excels at Marketing imagery while Mistral Small 3.1 is better for Lightweight 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. Mistral Small 3.1 costs $0.02 input and $0.04 output. Mistral Small 3.1 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. Mistral Small 3.1 offers 128K context at ~120ms. Mistral Small 3.1 has the larger context window.
Best For
DALL-E 3 (Image) is optimized for: Marketing imagery, Content illustrations, Social media graphics. Mistral Small 3.1 (Compact) works best for: Lightweight tasks, Classification, Simple generation.
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 Mistral Small 3.1
response_b = client.chat.completions.create(
model="mistral-small-3-1",
messages=[{"role": "user", "content": "Your question here"}]
)
Frequently Asked Questions
Which is better, DALL-E 3 or Mistral Small 3.1?
DALL-E 3 (Image, ~12B) offers Good text in images. Mistral Small 3.1 (Compact, 24B) offers 128K context. Choose DALL-E 3 for Marketing imagery or Mistral Small 3.1 for Lightweight tasks.
How much does DALL-E 3 cost vs Mistral Small 3.1?
DALL-E 3: $0.04/image/1M input, N/A/1M output. Mistral Small 3.1: $0.02/1M input, $0.04/1M 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 Mistral Small 3.1 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.