Pairwise benchmark snapshot · Aug 1, 2026

DALL-E 3 vs FLUX.2 [max] benchmark

Name: DALL-E 3 vs FLUX.2 [max] 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 FLUX.2 [max]. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Share Analysis:

Verified Head-to-Head Advantage Breakdown

5 direct benchmark disciplines evaluated across capability, speed, and cost

DALL-E 3 (1)FLUX.2 [max] (4)

DALL-E 3

1 of 5 Wins

✓Price per 1k images

FLUX.2 [max]

4 of 5 Wins

✓Image Elo✓Generation time✓Prompt adherence✓Text rendering

OpenAI

Leads 1 of 5 metrics

DALL-E 3

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

Img Elo 1,145$40/1k imgs

Black Forest Labs

Leads 4 of 5 metrics

FLUX.2 [max]

Black Forest Labs maximum-capacity flow-matching model with photoreal anatomy and leading typography fidelity.

Img Elo 1,233$70/1k 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 [flex]vs Ideogram 4.0 (Quality)vs Recraft V4.1 Utility Pro

Image Quality LeaderFLUX.2 [max] Wins

FLUX.2 [max]

Δ 88 Image Elo pts

Generation Speed LeaderFLUX.2 [max] Wins

FLUX.2 [max]

5.1s per render

Value per Dollar LeaderDALL-E 3 Wins

DALL-E 3

$40/1k images

Head-to-Head Comparison

Overall Matchup Breakdown

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

DALL-E 3 (1)vsFLUX.2 [max] (4)

DALL-E 3: 1W (20%)Overall: FLUX.2 [max]FLUX.2 [max]: 4W (80%)

← DALL-E 3FLUX.2 [max] →

🏆FLUX.2 [max](3/3)

Visual Quality & Adherence

Arena Preference Elo, prompt fidelity & typography score

Benchmark

DALL-E 3vsFLUX.2 [max]

Image Elo

1,145vs1,233+88

Prompt adherence

84%vs91.2%+7.2%

Text rendering

81%vs92.8%+11.8%

DALL-E 3: 0WFLUX.2 [max]: 3W

🏆FLUX.2 [max](1/1)

Generation Latency

Time to render full-resolution image snapshot (seconds)

Benchmark

DALL-E 3vsFLUX.2 [max]

Generation time

6.2svs5.1s+1.1s

DALL-E 3: 0WFLUX.2 [max]: 1W

🏆DALL-E 3(1/1)

Cost Efficiency

API inference cost per 1,000 generated images

Benchmark

DALL-E 3vsFLUX.2 [max]

Price per 1k images

$40/1kvs$70/1k+$30/1k

DALL-E 3: 1WFLUX.2 [max]: 0W

Side-by-Side Benchmark Matrix

Image Elo+88

DALL-E 31,145

seed-bootstrap · Aug 1, 2026

FLUX.2 [max]1,233

seed-bootstrap · Aug 1, 2026

Generation time+1.1s

DALL-E 36.2s

seed-bootstrap · Aug 1, 2026

FLUX.2 [max]5.1s

seed-bootstrap · Aug 1, 2026

Price per 1k images+$30/1k

DALL-E 3$40/1k

seed-bootstrap · Aug 1, 2026

FLUX.2 [max]$70/1k

seed-bootstrap · Aug 1, 2026

Prompt adherence+7.2%

DALL-E 384%

seed-bootstrap · Aug 1, 2026

FLUX.2 [max]91.2%

seed-bootstrap · Aug 1, 2026

Text rendering+11.8%

DALL-E 381%

seed-bootstrap · Aug 1, 2026

FLUX.2 [max]92.8%

seed-bootstrap · Aug 1, 2026

Benchmark	DALL-E 3	FLUX.2 [max]	Advantage Delta
Image Elo	1,145 seed-bootstrap · Aug 1, 2026	1,233 seed-bootstrap · Aug 1, 2026	+88
Generation time	6.2s seed-bootstrap · Aug 1, 2026	5.1s seed-bootstrap · Aug 1, 2026	+1.1s
Price per 1k images	$40/1k seed-bootstrap · Aug 1, 2026	$70/1k seed-bootstrap · Aug 1, 2026	+$30/1k
Prompt adherence	84% seed-bootstrap · Aug 1, 2026	91.2% seed-bootstrap · Aug 1, 2026	+7.2%
Text rendering	81% seed-bootstrap · Aug 1, 2026	92.8% seed-bootstrap · Aug 1, 2026	+11.8%

Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 43% with DALL-E 3

Monthly Image Production Volume25k images / month (25000 imgs)

Quick Presets:

DALL-E 3$1,000.00 / mo

Rate: $40/1k

FLUX.2 [max]$1,750.00 / mo

Rate: $70/1k

Estimated Cost Delta

DALL-E 3 is estimated to save $750.00/month ($9,000/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).

Community Sentiment

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No comments posted on this matchup yet. Be the first to share an evaluation note!

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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

Black Forest Labs

FLUX.2 [max]

Elo n/a

SWE-bench—

Speed (tok/s)—

Input / 1M Tokens$70/1k

Output / 1M Tokens$70/1k

Frequently Asked Questions

Which is better overall, DALL-E 3 or FLUX.2 [max]?: 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 FLUX.2 [max]?: 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 FLUX.2 [max]?: 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?: Neither model is marked open-weights here. You are comparing hosted APIs.
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 FLUX.2 [max] 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 FLUX.2 [max] matchups →

DALL-E 3 vs GPT Image 1.5 (next gpt-image)FLUX.2 [max] vs FLUX.2 [flex] (previous flux)GPT Image 2 (High) vs FLUX.2 [max]GPT Image 2 (Low / Fast) vs FLUX.2 [max]GPT Image 1.5 vs FLUX.2 [max]FLUX.1.1 [pro] vs FLUX.2 [max]

Benchmark

DALL-E 3

FLUX.2 [max]

Advantage Delta

Image Elo

1,145

seed-bootstrap · Aug 1, 2026

1,233

seed-bootstrap · Aug 1, 2026

+88

Generation time

6.2s

seed-bootstrap · Aug 1, 2026

5.1s

seed-bootstrap · Aug 1, 2026

+1.1s

Price per 1k images

$40/1k

seed-bootstrap · Aug 1, 2026

$70/1k

seed-bootstrap · Aug 1, 2026

+$30/1k

Prompt adherence

84%

seed-bootstrap · Aug 1, 2026

91.2%

seed-bootstrap · Aug 1, 2026

+7.2%

Text rendering

81%

seed-bootstrap · Aug 1, 2026

92.8%

seed-bootstrap · Aug 1, 2026

+11.8%

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 FLUX.2 [max]?

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 FLUX.2 [max]?

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 FLUX.2 [max]?

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?

Neither model is marked open-weights here. You are comparing hosted APIs.

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 FLUX.2 [max] Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.