Pairwise benchmark snapshot · Aug 1, 2026noindex (thin pair)

FLUX.2 [max] vs GPT-4 Turbo benchmark

Name: FLUX.2 [max] vs GPT-4 Turbo AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

Comparing verified benchmark accuracy, speed, and token pricing between FLUX.2 [max] and GPT-4 Turbo. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Share Analysis:

Black Forest Labs

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

OpenAI

GPT-4 Turbo

GPT-4 Turbo 128k. Historical flagship for gpt-4 turbo vs gpt-4o / gpt-5.

Img Elo 1,255

Top Rival Showdowns for FLUX.2 [max]

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.2 [max] (5)vsGPT-4 Turbo (0)

FLUX.2 [max]: 5W (100%)Overall: FLUX.2 [max]GPT-4 Turbo: 0W (0%)

← FLUX.2 [max]GPT-4 Turbo →

🏆FLUX.2 [max](3/3)

Visual Quality & Adherence

Arena Preference Elo, prompt fidelity & typography score

Benchmark

FLUX.2 [max]vsGPT-4 Turbo

Image Elo

1,233vs—

Prompt adherence

91.2%vs—

Text rendering

92.8%vs—

FLUX.2 [max]: 3WGPT-4 Turbo: 0W

🏆FLUX.2 [max](1/1)

Generation Latency

Time to render full-resolution image snapshot (seconds)

Benchmark

FLUX.2 [max]vsGPT-4 Turbo

Generation time

5.1svs—

FLUX.2 [max]: 1WGPT-4 Turbo: 0W

🏆FLUX.2 [max](1/1)

Cost Efficiency

API inference cost per 1,000 generated images

Benchmark

FLUX.2 [max]vsGPT-4 Turbo

Price per 1k images

$70/1kvs—

FLUX.2 [max]: 1WGPT-4 Turbo: 0W

Side-by-Side Benchmark Matrix

Image Elo

FLUX.2 [max]1,233

seed-bootstrap · Aug 1, 2026

GPT-4 Turbo—

Generation time

FLUX.2 [max]5.1s

seed-bootstrap · Aug 1, 2026

GPT-4 Turbo—

Price per 1k images

FLUX.2 [max]$70/1k

seed-bootstrap · Aug 1, 2026

GPT-4 Turbo—

Prompt adherence

FLUX.2 [max]91.2%

seed-bootstrap · Aug 1, 2026

GPT-4 Turbo—

Text rendering

FLUX.2 [max]92.8%

seed-bootstrap · Aug 1, 2026

GPT-4 Turbo—

Benchmark	FLUX.2 [max]	GPT-4 Turbo	Advantage Delta
Image Elo	1,233 seed-bootstrap · Aug 1, 2026	—	—
Generation time	5.1s seed-bootstrap · Aug 1, 2026	—	—
Price per 1k images	$70/1k seed-bootstrap · Aug 1, 2026	—	—
Prompt adherence	91.2% seed-bootstrap · Aug 1, 2026	—	—
Text rendering	92.8% 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 GPT-4 Turbo

Monthly Image Production Volume25k images / month (25000 imgs)

Quick Presets:

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

Rate: $70/1k

GPT-4 Turbo$0.00 / mo

Rate: $0/1k

Estimated Cost Delta

GPT-4 Turbo is estimated to save $1,750.00/month ($21,000/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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Community Discussions (0)

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK

Black Forest Labs

FLUX.2 [max]

Elo n/a

SWE-bench—

Speed (tok/s)—

Input / 1M Tokens$70/1k

Output / 1M Tokens$70/1k

OpenAI

GPT-4 Turbo

Elo 1,255

SWE-bench33.2%

Speed (tok/s)55 tok/s

Input / 1M Tokens$10/1M

Output / 1M Tokens$30/1M

Frequently Asked Questions

Which is better overall, FLUX.2 [max] or GPT-4 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, FLUX.2 [max] or GPT-4 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, FLUX.2 [max] or GPT-4 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. FLUX.2 [max] and GPT-4 Turbo Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All FLUX.2 [max] matchups →|All GPT-4 Turbo matchups →

FLUX.2 [max] vs FLUX.2 [flex] (previous flux)GPT-4 Turbo vs GPT-4o (next gpt-flagship)GPT-5 vs GPT-4 Turbo OpenAI o3-mini vs GPT-4 Turbo GPT-4.5 Orion vs GPT-4 Turbo GPT-5.6 Sol vs GPT-4 Turbo

Benchmark

FLUX.2 [max]

GPT-4 Turbo

Advantage Delta

Image Elo

1,233

seed-bootstrap · Aug 1, 2026

—

Generation time

5.1s

seed-bootstrap · Aug 1, 2026

—

Price per 1k images

$70/1k

seed-bootstrap · Aug 1, 2026

—

Prompt adherence

91.2%

seed-bootstrap · Aug 1, 2026

—

Text rendering

92.8%

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.2 [max] or GPT-4 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, FLUX.2 [max] or GPT-4 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, FLUX.2 [max] or GPT-4 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. FLUX.2 [max] and GPT-4 Turbo Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.