Pairwise benchmark snapshot · Aug 1, 2026

DALL-E 3 vs Wan2.6 Text to Image benchmark

Name: DALL-E 3 vs Wan2.6 Text to Image AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

Comparing verified benchmark accuracy, speed, and token pricing between DALL-E 3 and Wan2.6 Text to Image. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

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Executive Verdict Summary

Wan2.6 Text to Image holds empirical advantage (5 of 5 metrics)

Coding / SWESWE-bench

DALL-E 3Top code solve rate

ReasoningGPQA / Live

DALL-E 3Top logical accuracy

Best Value$/1M Tok

DALL-E 3Lowest API billing cost

Speed / TokTok/Sec

DALL-E 3Fastest stream rate

Verified Advantage Breakdown

5 benchmarks evaluated across capability, speed, and cost

DALL-E 3 (0)Wan2.6 Text to Image (5)

DALL-E 3

0 of 5 Wins

Competitive baseline across remaining benchmarks

Wan2.6 Text to Image

5 of 5 Wins

✓Image Elo✓Generation time✓Price per 1k images✓Prompt adherence✓Text rendering

OpenAI

DALL-E 3

Legacy OpenAI image model benchmark baseline. Retained for historical comparisons.

Img Elo 1,145$40/1k imgs

Alibaba

Leads 5 of 5

Wan2.6 Text to Image

Alibaba high-efficiency open video/image unified transformer backbone.

Img Elo 1,215$30/1k imgs

Top Rival Showdowns for DALL-E 3

All Matchups

Compare vs:vs Reve 2.1 vs Nano Banana Pro (Gemini 3 Pro Image)vs FLUX.2 [max]vs Ideogram 4.0 (Quality)vs Recraft V4.1 Utility Pro

Image Quality LeaderWan2.6 Text to Image Wins

Wan2.6 Text to Image

Δ 70 Image Elo pts

Generation Speed LeaderWan2.6 Text to Image Wins

Wan2.6 Text to Image

3.1s per render

Value per Dollar LeaderWan2.6 Text to Image Wins

Wan2.6 Text to Image

$30/1k images

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

DALL-E 3 (0)vsWan2.6 Text to Image (5)

DALL-E 3: 0W (0%)Wan2.6 Text to Image: 5W (100%)

← DALL-E 3Wan2.6 Text to Image →

🏆Wan2.6 Text to Image Leads(3/3)

Visual Quality & Adherence

Arena Preference Elo, prompt fidelity & typography score

Benchmark

DALL-E 3vsWan2.6 Text to Image

Image Elo

1,145vs1,215+70

Prompt adherence

84%vs89.5%+5.5%

Text rendering

81%vs87%+6%

DALL-E 3: 0WWan2.6 Text to Image: 3W

🏆Wan2.6 Text to Image Leads(1/1)

Generation Latency

Time to render full-resolution image snapshot (seconds)

Benchmark

DALL-E 3vsWan2.6 Text to Image

Generation time

6.2svs3.1s+3.1s

DALL-E 3: 0WWan2.6 Text to Image: 1W

🏆Wan2.6 Text to Image Leads(1/1)

Cost Efficiency

API inference cost per 1,000 generated images

Benchmark

DALL-E 3vsWan2.6 Text to Image

Price per 1k images

$40/1kvs$30/1k+$10/1k

DALL-E 3: 0WWan2.6 Text to Image: 1W

Side-by-Side Benchmark Matrix

DALL-E 3Wan2.6 Text to Image

Image EloWan2.6 Text to Image +70

DALL-E 31,145

Wan2.6 Text to Image1,215

Generation timeWan2.6 Text to Image +3.1s

DALL-E 36.2s

Wan2.6 Text to Image3.1s

Price per 1k imagesWan2.6 Text to Image +$10/1k

DALL-E 3$40/1k

Wan2.6 Text to Image$30/1k

Prompt adherenceWan2.6 Text to Image +5.5%

DALL-E 384%

Wan2.6 Text to Image89.5%

Text renderingWan2.6 Text to Image +6%

DALL-E 381%

Wan2.6 Text to Image87%

Benchmark	DALL-E 3	Wan2.6 Text to Image	Advantage Delta
Image Elo	1,145 seed-bootstrap · Aug 1, 2026	1,215 seed-bootstrap · Aug 1, 2026	+70
Generation time	6.2s seed-bootstrap · Aug 1, 2026	3.1s seed-bootstrap · Aug 1, 2026	+3.1s
Price per 1k images	$40/1k seed-bootstrap · Aug 1, 2026	$30/1k seed-bootstrap · Aug 1, 2026	+$10/1k
Prompt adherence	84% seed-bootstrap · Aug 1, 2026	89.5% seed-bootstrap · Aug 1, 2026	+5.5%
Text rendering	81% seed-bootstrap · Aug 1, 2026	87% seed-bootstrap · Aug 1, 2026	+6%

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save 25% with Wan2.6 Text to Image

Monthly Image Production Volume25k images / month (25000 imgs)

Quick Presets:

DALL-E 3$1,000.00 / mo

Rate: $40/1k

Wan2.6 Text to Image$750.00 / mo

Rate: $30/1k

Estimated Cost Delta

Wan2.6 Text to Image is estimated to save $250.00/month ($3,000/year).

Based on 25k images generated

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatinsufficient data

Need list prices.

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGinsufficient data

Need context sizes.

Screenshots / visioninsufficient data

Both accept images. Defaulting to the higher-Elo side (undefined).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	insufficient data	Need list prices.
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	insufficient data	Need context sizes.
Screenshots / vision	insufficient data	Both accept images. Defaulting to the higher-Elo side (undefined).

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK

OpenAI

DALL-E 3

Elo n/a

SWE-bench—

Speed (tok/s)—

Input / 1M Tokens$40/1k

Output / 1M Tokens$40/1k

Alibaba

Wan2.6 Text to Image

Elo n/a

SWE-bench—

Speed (tok/s)—

Input / 1M Tokens$30/1k

Output / 1M Tokens$30/1k

Frequently Asked Questions

Which is better overall, DALL-E 3 or Wan2.6 Text to Image?: We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, DALL-E 3 or Wan2.6 Text to Image?: SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?: List prices are missing for at least one model.
Which is faster, DALL-E 3 or Wan2.6 Text to Image?: We do not have TTFT for both models.
Which has the larger context window?: Context window is missing for at least one model.
Can I self-host either model?: Wan2.6 Text to Image is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
Are these scores from CompareLLM’s own evals?: No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?: Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. DALL-E 3 and Wan2.6 Text to Image Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All DALL-E 3 matchups →|All Wan2.6 Text to Image matchups →

DALL-E 3 vs GPT Image 1.5 (next gpt-image)GPT Image 2 (High) vs Wan2.6 Text to Image Qwen Image 2.0 Pro vs Wan2.6 Text to Image GPT Image 2 (Low / Fast) vs Wan2.6 Text to Image GPT Image 1.5 vs Wan2.6 Text to Image Reve 2.1 vs Wan2.6 Text to Image

Side-by-Side Benchmark Matrix

DALL-E 3Wan2.6 Text to Image

Image EloWan2.6 Text to Image +70

DALL-E 31,145

Wan2.6 Text to Image1,215

Generation timeWan2.6 Text to Image +3.1s

DALL-E 36.2s

Wan2.6 Text to Image3.1s

Price per 1k imagesWan2.6 Text to Image +$10/1k

DALL-E 3$40/1k

Wan2.6 Text to Image$30/1k

Prompt adherenceWan2.6 Text to Image +5.5%

DALL-E 384%

Wan2.6 Text to Image89.5%

Text renderingWan2.6 Text to Image +6%

DALL-E 381%

Wan2.6 Text to Image87%

Benchmark

DALL-E 3

Wan2.6 Text to Image

Advantage Delta

Image Elo

1,145

seed-bootstrap · Aug 1, 2026

1,215

seed-bootstrap · Aug 1, 2026

+70

Generation time

6.2s

seed-bootstrap · Aug 1, 2026

3.1s

seed-bootstrap · Aug 1, 2026

+3.1s

Price per 1k images

$40/1k

seed-bootstrap · Aug 1, 2026

$30/1k

seed-bootstrap · Aug 1, 2026

+$10/1k

Prompt adherence

84%

seed-bootstrap · Aug 1, 2026

89.5%

seed-bootstrap · Aug 1, 2026

+5.5%

Text rendering

81%

seed-bootstrap · Aug 1, 2026

87%

seed-bootstrap · Aug 1, 2026

+6%

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatinsufficient data

Need list prices.

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGinsufficient data

Need context sizes.

Screenshots / visioninsufficient data

Both accept images. Defaulting to the higher-Elo side (undefined).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	insufficient data	Need list prices.
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	insufficient data	Need context sizes.
Screenshots / vision	insufficient data	Both accept images. Defaulting to the higher-Elo side (undefined).

Frequently Asked Questions

Which is better overall, DALL-E 3 or Wan2.6 Text to Image?

We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.

Which is better at coding, DALL-E 3 or Wan2.6 Text to Image?

SWE-bench is missing for at least one model, so we do not rank coding from a single number.

Which is cheaper to run in production?

List prices are missing for at least one model.

Which is faster, DALL-E 3 or Wan2.6 Text to Image?

We do not have TTFT for both models.

Which has the larger context window?

Context window is missing for at least one model.

Can I self-host either model?

Wan2.6 Text to Image is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.

Are these scores from CompareLLM’s own evals?

No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.

What does preference Elo mean on this page?

Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. DALL-E 3 and Wan2.6 Text to Image Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.