Pairwise benchmark snapshot · Aug 1, 2026

FLUX.1 [schnell] vs GPT Image 1.5 benchmark

Name: FLUX.1 [schnell] vs GPT Image 1.5 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

Comparing verified benchmark accuracy, speed, and token pricing between FLUX.1 [schnell] and GPT Image 1.5. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Share Analysis:

Black Forest Labs

FLUX.1 [schnell]

Apache 2.0 4-step distilled open weights model optimized for local inference and instant preview generation.

Schnell 4-StepImg Elo 1,142$15/1k imgs

OpenAI

GPT Image 1.5

Previous OpenAI image generation flagship. High fidelity with proven enterprise reliability.

Img Elo 1,313$133/1k imgs

FLUX.1 Series Family & Variants (3)

Speed, cost, and intelligence tradeoffs across the Black Forest Labs lineup

vs Base Model

FLUX.1.1 [pro]

Black Forest Labs

Base Model

Img Elo1210

Latency3.2s

$/1k$50/1k

Prompt %89%

View specs →vs this

FLUX.1 [dev]

Black Forest Labs

Open Dev 12B

Img Elo1180

Latency4.0s

$/1k$30/1k

Prompt %87.5%

-30 Elo-40% price

View specs →vs this

FLUX.1 [schnell]

Black Forest Labs

Schnell 4-Step

Img Elo1142

Latency1.2s

$/1k$15/1k

Prompt %84%

-68 Elo-70% price

Selected

Top Rival Showdowns for FLUX.1 [schnell]

All Matchups

Compare vs:vs GPT Image 2 (High)vs Reve 2.1 vs Nano Banana Pro (Gemini 3 Pro Image)vs Ideogram 4.0 (Quality)vs Recraft V4.1 Utility Pro

Image Quality Leader

GPT Image 1.5

Δ 171 Image Elo pts

Generation Speed Leader

FLUX.1 [schnell]

1.2s per render

Value per Dollar Leader

FLUX.1 [schnell]

$15/1k images

Head-to-Head Comparison

Overall Matchup Breakdown

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

FLUX.1 [schnell] (2)vsGPT Image 1.5 (3)

FLUX.1 [schnell]: 2W (40%)Overall: GPT Image 1.5GPT Image 1.5: 3W (60%)

← FLUX.1 [schnell]GPT Image 1.5 →

GPT Image 1.5 (3/3)

Visual Quality & Adherence

Arena Preference Elo, prompt fidelity & typography score

Image Elo

1,142vs1,313

Prompt adherence

84%vs91%

Text rendering

82%vs90.5%

FLUX.1 [schnell]: 0WGPT Image 1.5: 3W

FLUX.1 [schnell] (1/1)

Generation Latency

Time to render full-resolution image snapshot (seconds)

Generation time

1.2svs3.5s

FLUX.1 [schnell]: 1WGPT Image 1.5: 0W

FLUX.1 [schnell] (1/1)

Cost Efficiency

API inference cost per 1,000 generated images

Price per 1k images

$15/1kvs$133/1k

FLUX.1 [schnell]: 1WGPT Image 1.5: 0W

Side-by-Side Benchmark Matrix

Image EloGPT Image 1.5 (+171)

FLUX.1 [schnell]1,142

seed-bootstrap · Aug 1, 2026

GPT Image 1.51,313

seed-bootstrap · Aug 1, 2026

Generation timeFLUX.1 [schnell] (+2.3s)

FLUX.1 [schnell]1.2s

seed-bootstrap · Aug 1, 2026

GPT Image 1.53.5s

seed-bootstrap · Aug 1, 2026

Price per 1k imagesFLUX.1 [schnell] (+$118/1k)

FLUX.1 [schnell]$15/1k

seed-bootstrap · Aug 1, 2026

GPT Image 1.5$133/1k

seed-bootstrap · Aug 1, 2026

Prompt adherenceGPT Image 1.5 (+7%)

FLUX.1 [schnell]84%

seed-bootstrap · Aug 1, 2026

GPT Image 1.591%

seed-bootstrap · Aug 1, 2026

Text renderingGPT Image 1.5 (+8.5%)

FLUX.1 [schnell]82%

seed-bootstrap · Aug 1, 2026

GPT Image 1.590.5%

seed-bootstrap · Aug 1, 2026

Benchmark	FLUX.1 [schnell]	GPT Image 1.5	Advantage Delta
Image Elo	1,142 seed-bootstrap · Aug 1, 2026	1,313 seed-bootstrap · Aug 1, 2026	GPT Image 1.5 (+171)
Generation time	1.2s seed-bootstrap · Aug 1, 2026	3.5s seed-bootstrap · Aug 1, 2026	FLUX.1 [schnell] (+2.3s)
Price per 1k images	$15/1k seed-bootstrap · Aug 1, 2026	$133/1k seed-bootstrap · Aug 1, 2026	FLUX.1 [schnell] (+$118/1k)
Prompt adherence	84% seed-bootstrap · Aug 1, 2026	91% seed-bootstrap · Aug 1, 2026	GPT Image 1.5 (+7%)
Text rendering	82% seed-bootstrap · Aug 1, 2026	90.5% seed-bootstrap · Aug 1, 2026	GPT Image 1.5 (+8.5%)

Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 89% with FLUX.1 [schnell]

Monthly Image Production Volume25k images / month (25000 imgs)

Quick Presets:

FLUX.1 [schnell]$375.00 / mo

Rate: $15/1k

GPT Image 1.5$3,325.00 / mo

Rate: $133/1k

Estimated Cost Delta

FLUX.1 [schnell] is estimated to save $2,950.00/month ($35,400/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

Cast Your Matchup Vote

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The real PNG is generated at /compare/flux-1-schnell-vs-gpt-image-1-5/opengraph-image for crawlers.

PNG

CompareLLM Matrix

Verified head-to-head card

LIVE

Black Forest Labs

FLUX.1 [schnell]

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost—

OpenAI

GPT Image 1.5

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost—

Frequently Asked Questions

Which is better overall, FLUX.1 [schnell] or GPT Image 1.5?: 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, FLUX.1 [schnell] or GPT Image 1.5?: 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, FLUX.1 [schnell] or GPT Image 1.5?: 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?: FLUX.1 [schnell] 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. FLUX.1 [schnell] and GPT Image 1.5 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All FLUX.1 [schnell] matchups →|All GPT Image 1.5 matchups →

FLUX.1 [schnell] vs FLUX.1 [dev] (previous flux)FLUX.1 [schnell] vs FLUX.1.1 [pro] (next flux)GPT Image 1.5 vs DALL-E 3 (previous gpt-image)GPT Image 1.5 vs GPT Image 2 (High) (next gpt-image)FLUX.2 [max] vs GPT Image 1.5 FLUX.2 [flex] vs GPT Image 1.5

Benchmark

FLUX.1 [schnell]

GPT Image 1.5

Advantage Delta

Image Elo

1,142

seed-bootstrap · Aug 1, 2026

1,313

seed-bootstrap · Aug 1, 2026

GPT Image 1.5 (+171)

Generation time

1.2s

seed-bootstrap · Aug 1, 2026

3.5s

seed-bootstrap · Aug 1, 2026

FLUX.1 [schnell] (+2.3s)

Price per 1k images

$15/1k

seed-bootstrap · Aug 1, 2026

$133/1k

seed-bootstrap · Aug 1, 2026

FLUX.1 [schnell] (+$118/1k)

Prompt adherence

84%

seed-bootstrap · Aug 1, 2026

91%

seed-bootstrap · Aug 1, 2026

GPT Image 1.5 (+7%)

Text rendering

82%

seed-bootstrap · Aug 1, 2026

90.5%

seed-bootstrap · Aug 1, 2026

GPT Image 1.5 (+8.5%)

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, FLUX.1 [schnell] or GPT Image 1.5?

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, FLUX.1 [schnell] or GPT Image 1.5?

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, FLUX.1 [schnell] or GPT Image 1.5?

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?

FLUX.1 [schnell] 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. FLUX.1 [schnell] and GPT Image 1.5 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.