Pairwise benchmark snapshot · Aug 1, 2026

FLUX.1 [schnell] vs HiDream-O1-Image-1.5 benchmark

Name: FLUX.1 [schnell] vs HiDream-O1-Image-1.5 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares FLUX.1 [schnell] (Black Forest Labs) and HiDream-O1-Image-1.5 (HiDream) using the latest snapshots we have as of Aug 1, 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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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

HiDream

HiDream-O1-Image-1.5

HiDream high-definition visual generator optimized for photorealism and accurate complex lighting.

Img Elo 1,227$80/1k imgs

Model Lineage & Multi-Tier Derivatives

FLUX.1 Series Family (3 models)

Compare vs Base (FLUX.1.1 [pro])

FLUX.1.1 [pro]

Black Forest Labs

Flagship Base

Elo

1210

Latency

3.2s

Price

$50/1k

View model →vs this

FLUX.1 [dev]

Black Forest Labs

Open Dev 12B

Elo

1180

Latency

Price

$30/1k

-30 Elo-40% cost

View model →vs this

FLUX.1 [schnell]

Black Forest Labs

Schnell 4-Step

Elo

1142

Latency

1.2s

Price

$15/1k

-68 Elo-70% cost

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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.

FLUX.1 [schnell] (2)vsHiDream-O1-Image-1.5 (3)

FLUX.1 [schnell]: 2W (40%)Overall: HiDream-O1-Image-1.5HiDream-O1-Image-1.5: 3W (60%)

← FLUX.1 [schnell]HiDream-O1-Image-1.5 →

HiDream-O1-Image-1.5 (3/3)

Visual Quality & Adherence

Arena Preference Elo, prompt fidelity & typography score

Image Elo

1,142vs1,227

Prompt adherence

84%vs90.5%

Text rendering

82%vs91%

FLUX.1 [schnell]: 0WHiDream-O1-Image-1.5: 3W

FLUX.1 [schnell] (1/1)

Generation Latency

Time to render full-resolution image snapshot (seconds)

Generation time

1.2svs4.1s

FLUX.1 [schnell]: 1WHiDream-O1-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$80/1k

FLUX.1 [schnell]: 1WHiDream-O1-Image-1.5: 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 AdvantageHiDream-O1-Image-1.5 3/6

Image Preference Elo

HiDream-O1-Image-1.5

85 pts advantage

Generation Latency

FLUX.1 [schnell]

2.9s faster

Image Price Efficiency

FLUX.1 [schnell]

$65.0/1k cheaper

Full Benchmark Score Matrix

—

Img Elo

High is better

1,142

Img EloHigh is better

1,227+7%

Gen Time

Low is better

+242%1.2s

Gen TimeLow is better

4.1s

Img $

Low is better

+433%$15/1k

Img $Low is better

$80/1k

Prompt %

High is better

84%

Prompt %High is better

90.5%+8%

Text %

High is better

82%

Text %High is better

91%+11%

Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 81% with FLUX.1 [schnell]

Monthly Image Production Volume25k images / month (25000 imgs)

Quick Presets:

FLUX.1 [schnell]$375.00 / mo

Rate: $15/1k

HiDream-O1-Image-1.5$2,000.00 / mo

Rate: $80/1k

Estimated Cost Delta

FLUX.1 [schnell] is estimated to save $1,625.00/month ($19,500/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

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LIVE

Black Forest Labs

FLUX.1 [schnell]

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost—

HiDream

HiDream-O1-Image-1.5

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost—

Frequently Asked Questions

Which is better overall, FLUX.1 [schnell] or HiDream-O1-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 HiDream-O1-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 HiDream-O1-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 HiDream-O1-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 HiDream-O1-Image-1.5 matchups →

FLUX.1 [schnell] vs FLUX.1 [dev] (previous flux)FLUX.1 [schnell] vs FLUX.1.1 [pro] (next flux)HiDream-O1-Image-1.5 vs Luma UNI 1 Max (previous other)HiDream-O1-Image-1.5 vs MAI-Image-2.5 (next other)FLUX.2 [max] vs HiDream-O1-Image-1.5 FLUX.2 [flex] vs HiDream-O1-Image-1.5

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

FLUX.1 [schnell] (2)vsHiDream-O1-Image-1.5 (3)

FLUX.1 [schnell]: 2W (40%)Overall: HiDream-O1-Image-1.5HiDream-O1-Image-1.5: 3W (60%)

← FLUX.1 [schnell]HiDream-O1-Image-1.5 →

HiDream-O1-Image-1.5 (3/3)

Visual Quality & Adherence

Arena Preference Elo, prompt fidelity & typography score

Image Elo

1,142vs1,227

Prompt adherence

84%vs90.5%

Text rendering

82%vs91%

FLUX.1 [schnell]: 0WHiDream-O1-Image-1.5: 3W

FLUX.1 [schnell] (1/1)

Generation Latency

Time to render full-resolution image snapshot (seconds)

Generation time

1.2svs4.1s

FLUX.1 [schnell]: 1WHiDream-O1-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$80/1k

FLUX.1 [schnell]: 1WHiDream-O1-Image-1.5: 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, FLUX.1 [schnell] or HiDream-O1-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 HiDream-O1-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 HiDream-O1-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 HiDream-O1-Image-1.5 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.