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

FLUX.1 [schnell] vs OpenAI: o1 benchmark

Name: FLUX.1 [schnell] vs OpenAI: o1 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 OpenAI: o1. 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

OpenAI: o1

Auto-discovered from OpenRouter (openai/o1). Preview until a second source matches.

Img Elo 1,512

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

OpenAI: o1 Thinking Depth & Cost Scaler

Simulate accuracy gains vs added response time & token cost

Mode: Medium (Standard)

Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.

Thinking Delay

420 ms

Standard speed

Reasoning Depth

~1,500

Internal tokens

Cost / 1k Calls

$115.50

4.5× standard bill

Accuracy Boost

+4.5% accuracy

STEM & SWE-bench

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

No shared data

Single model data

Generation Speed Leader

No shared data

No latency data

Value per Dollar Leader

No shared data

Unpriced

Head-to-Head Comparison

Overall Matchup Breakdown

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

FLUX.1 [schnell] (5)vsOpenAI: o1 (0)

FLUX.1 [schnell]: 5W (100%)Overall: FLUX.1 [schnell]OpenAI: o1: 0W (0%)

← FLUX.1 [schnell]OpenAI: o1 →

FLUX.1 [schnell] (3/3)

Visual Quality & Adherence

Arena Preference Elo, prompt fidelity & typography score

Image Elo

1,142vs—

Prompt adherence

84%vs—

Text rendering

82%vs—

FLUX.1 [schnell]: 3WOpenAI: o1: 0W

FLUX.1 [schnell] (1/1)

Generation Latency

Time to render full-resolution image snapshot (seconds)

Generation time

1.2svs—

FLUX.1 [schnell]: 1WOpenAI: o1: 0W

FLUX.1 [schnell] (1/1)

Cost Efficiency

API inference cost per 1,000 generated images

Price per 1k images

$15/1kvs—

FLUX.1 [schnell]: 1WOpenAI: o1: 0W

Side-by-Side Benchmark Matrix

Image Elo

FLUX.1 [schnell]1,142

seed-bootstrap · Aug 1, 2026

OpenAI: o1—

Generation time

FLUX.1 [schnell]1.2s

seed-bootstrap · Aug 1, 2026

OpenAI: o1—

Price per 1k images

FLUX.1 [schnell]$15/1k

seed-bootstrap · Aug 1, 2026

OpenAI: o1—

Prompt adherence

FLUX.1 [schnell]84%

seed-bootstrap · Aug 1, 2026

OpenAI: o1—

Text rendering

FLUX.1 [schnell]82%

seed-bootstrap · Aug 1, 2026

OpenAI: o1—

Benchmark	FLUX.1 [schnell]	OpenAI: o1	Advantage Delta
Image Elo	1,142 seed-bootstrap · Aug 1, 2026	—	—
Generation time	1.2s seed-bootstrap · Aug 1, 2026	—	—
Price per 1k images	$15/1k seed-bootstrap · Aug 1, 2026	—	—
Prompt adherence	84% seed-bootstrap · Aug 1, 2026	—	—
Text rendering	82% seed-bootstrap · Aug 1, 2026	—	—

Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 100% with OpenAI: o1

Monthly Image Production Volume25k images / month (25000 imgs)

Quick Presets:

FLUX.1 [schnell]$375.00 / mo

Rate: $15/1k

OpenAI: o1$0.00 / mo

Rate: $0/1k

Estimated Cost Delta

OpenAI: o1 is estimated to save $375.00/month ($4,500/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

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

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

Share card

The real PNG is generated at /compare/flux-1-schnell-vs-o1/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

OpenAI: o1

Elo 1,512

LiveBench65.4%

SWE-bench48.9%

Speed45 tok/s

Output cost$60/1M

Frequently Asked Questions

Which is better overall, FLUX.1 [schnell] or OpenAI: o1?: 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 OpenAI: o1?: 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 OpenAI: o1?: 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 OpenAI: o1 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 OpenAI: o1 matchups →

FLUX.1 [schnell] vs FLUX.1 [dev] (previous flux)FLUX.1 [schnell] vs FLUX.1.1 [pro] (next flux)OpenAI: o1 vs GPT-4o (previous gpt-flagship)OpenAI: o1 vs GPT-4.5 Orion (next gpt-flagship)GPT-5 vs OpenAI: o1 GPT-5.6 Sol vs OpenAI: o1

Benchmark

FLUX.1 [schnell]

OpenAI: o1

Advantage Delta

Image Elo

1,142

seed-bootstrap · Aug 1, 2026

—

Generation time

1.2s

seed-bootstrap · Aug 1, 2026

—

Price per 1k images

$15/1k

seed-bootstrap · Aug 1, 2026

—

Prompt adherence

84%

seed-bootstrap · Aug 1, 2026

—

Text rendering

82%

seed-bootstrap · Aug 1, 2026

—

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 OpenAI: o1?

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 OpenAI: o1?

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 OpenAI: o1?

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 OpenAI: o1 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.