Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

DALL-E 3 vs Ernie 4.5 Turbo benchmark

Name: DALL-E 3 vs Ernie 4.5 Turbo AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares DALL-E 3 (OpenAI) and Ernie 4.5 Turbo (Baidu) using the latest snapshots we have as of Aug 17, 2026. Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

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OpenAI

DALL-E 3

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

Img Elo 1,145$40/1k imgs

Baidu

Ernie 4.5 Turbo

Baidu current multimodal enterprise foundation model with broad Chinese knowledge.

Img Elo 1,450

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Instant pairwise benchmark recalculation across 400+ LLMs

Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

DALL-E 3 (5)vsErnie 4.5 Turbo (0)

DALL-E 3: 5W (100%)Overall: DALL-E 3Ernie 4.5 Turbo: 0W (0%)

← DALL-E 3Ernie 4.5 Turbo →

DALL-E 3 (3/3)

Visual Quality & Adherence

Arena Preference Elo, prompt fidelity & typography score

Image Elo

1,145vs—

Prompt adherence

84%vs—

Text rendering

81%vs—

DALL-E 3: 3WErnie 4.5 Turbo: 0W

DALL-E 3 (1/1)

Generation Latency

Time to render full-resolution image snapshot (seconds)

Generation time

6.2svs—

DALL-E 3: 1WErnie 4.5 Turbo: 0W

DALL-E 3 (1/1)

Cost Efficiency

API inference cost per 1,000 generated images

Price per 1k images

$40/1kvs—

DALL-E 3: 1WErnie 4.5 Turbo: 0W

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect

Percentile 0–100

Dimensional AdvantageDALL-E 3 5/6

Image Preference Elo

No shared data

Generation Latency

No shared data

Image Price Efficiency

No shared data

Full Benchmark Score Matrix

—

Img Elo

High is better

1,145

Img EloHigh is better

—

Gen Time

Low is better

6.2s

Gen TimeLow is better

—

Img $

Low is better

$40/1k

Img $Low is better

—

Prompt %

High is better

84%

Prompt %High is better

—

Text %

High is better

81%

Text %High is better

—

Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 100% with Ernie 4.5 Turbo

Monthly Image Production Volume25k images / month (25000 imgs)

Quick Presets:

DALL-E 3$1,000.00 / mo

Rate: $40/1k

Ernie 4.5 Turbo$0.00 / mo

Rate: $0/1k

Estimated Cost Delta

Ernie 4.5 Turbo is estimated to save $1,000.00/month ($12,000/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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CompareLLM Matrix

Verified head-to-head card

LIVE

OpenAI

DALL-E 3

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost—

Baidu

Ernie 4.5 Turbo

Elo 1,450

LiveBench61%

SWE-bench57%

Speed95 tok/s

Output cost$1.2/1M

Frequently Asked Questions

Which is better overall, DALL-E 3 or Ernie 4.5 Turbo?: 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 Ernie 4.5 Turbo?: 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 Ernie 4.5 Turbo?: 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 Ernie 4.5 Turbo 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 Ernie 4.5 Turbo matchups →

DALL-E 3 vs GPT Image 1.5 (next gpt-image)Ernie 4.5 Turbo vs Yi-Lightning (previous other)GPT-5 vs Ernie 4.5 Turbo GPT-4.5 Orion vs Ernie 4.5 Turbo GPT-5.6 Sol vs Ernie 4.5 Turbo GPT-5.6 Terra vs Ernie 4.5 Turbo

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

DALL-E 3 (5)vsErnie 4.5 Turbo (0)

DALL-E 3: 5W (100%)Overall: DALL-E 3Ernie 4.5 Turbo: 0W (0%)

← DALL-E 3Ernie 4.5 Turbo →

DALL-E 3 (3/3)

Visual Quality & Adherence

Arena Preference Elo, prompt fidelity & typography score

Image Elo

1,145vs—

Prompt adherence

84%vs—

Text rendering

81%vs—

DALL-E 3: 3WErnie 4.5 Turbo: 0W

DALL-E 3 (1/1)

Generation Latency

Time to render full-resolution image snapshot (seconds)

Generation time

6.2svs—

DALL-E 3: 1WErnie 4.5 Turbo: 0W

DALL-E 3 (1/1)

Cost Efficiency

API inference cost per 1,000 generated images

Price per 1k images

$40/1kvs—

DALL-E 3: 1WErnie 4.5 Turbo: 0W

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 Ernie 4.5 Turbo?

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 Ernie 4.5 Turbo?

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 Ernie 4.5 Turbo?

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 Ernie 4.5 Turbo Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.