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

FLUX.1 [dev] vs Gemini 1.5 Pro benchmark

Name: FLUX.1 [dev] vs Gemini 1.5 Pro AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

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

Share Analysis:

Black Forest Labs

FLUX.1 [dev]

Open-weights non-commercial base model with 12B parameters, serving as the foundation for the open-source fine-tuning ecosystem.

Open Dev 12BImg Elo 1,180$30/1k imgs

Google

Gemini 1.5 Pro

First million-token Gemini Pro. Baseline for 1.5 vs 2.5 vs 3.x Pro.

Img Elo 1,260

FLUX.1 Series Lineage & Sibling Variants

3 models

Currently comparing FLUX.1 [dev] vs Gemini 1.5 Pro. Alternative family tiers available.

Active: FLUX.1 [dev]

FLUX.1.1 [pro]$50/1k FLUX.1 [schnell]$15/1k

Top Rival Showdowns for FLUX.1 [dev]

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 [dev] (5)vsGemini 1.5 Pro (0)

FLUX.1 [dev]: 5W (100%)Overall: FLUX.1 [dev]Gemini 1.5 Pro: 0W (0%)

← FLUX.1 [dev]Gemini 1.5 Pro →

🏆FLUX.1 [dev](3/3)

Visual Quality & Adherence

Arena Preference Elo, prompt fidelity & typography score

Benchmark

FLUX.1 [dev]vsGemini 1.5 Pro

Image Elo

1,180vs—

Prompt adherence

87.5%vs—

Text rendering

86%vs—

FLUX.1 [dev]: 3WGemini 1.5 Pro: 0W

🏆FLUX.1 [dev](1/1)

Generation Latency

Time to render full-resolution image snapshot (seconds)

Benchmark

FLUX.1 [dev]vsGemini 1.5 Pro

Generation time

4svs—

FLUX.1 [dev]: 1WGemini 1.5 Pro: 0W

🏆FLUX.1 [dev](1/1)

Cost Efficiency

API inference cost per 1,000 generated images

Benchmark

FLUX.1 [dev]vsGemini 1.5 Pro

Price per 1k images

$30/1kvs—

FLUX.1 [dev]: 1WGemini 1.5 Pro: 0W

Side-by-Side Benchmark Matrix

Image Elo

FLUX.1 [dev]1,180

seed-bootstrap · Aug 1, 2026

Gemini 1.5 Pro—

Generation time

FLUX.1 [dev]4s

seed-bootstrap · Aug 1, 2026

Gemini 1.5 Pro—

Price per 1k images

FLUX.1 [dev]$30/1k

seed-bootstrap · Aug 1, 2026

Gemini 1.5 Pro—

Prompt adherence

FLUX.1 [dev]87.5%

seed-bootstrap · Aug 1, 2026

Gemini 1.5 Pro—

Text rendering

FLUX.1 [dev]86%

seed-bootstrap · Aug 1, 2026

Gemini 1.5 Pro—

Benchmark	FLUX.1 [dev]	Gemini 1.5 Pro	Advantage Delta
Image Elo	1,180 seed-bootstrap · Aug 1, 2026	—	—
Generation time	4s seed-bootstrap · Aug 1, 2026	—	—
Price per 1k images	$30/1k seed-bootstrap · Aug 1, 2026	—	—
Prompt adherence	87.5% seed-bootstrap · Aug 1, 2026	—	—
Text rendering	86% 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 Gemini 1.5 Pro

Monthly Image Production Volume25k images / month (25000 imgs)

Quick Presets:

FLUX.1 [dev]$750.00 / mo

Rate: $30/1k

Gemini 1.5 Pro$0.00 / mo

Rate: $0/1k

Estimated Cost Delta

Gemini 1.5 Pro is estimated to save $750.00/month ($9,000/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

Cast Your Matchup Vote

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Community Discussions (0)

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

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK

Black Forest Labs

FLUX.1 [dev]

Elo n/a

SWE-bench—

Speed (tok/s)—

Input / 1M Tokens$30/1k

Output / 1M Tokens$30/1k

Google

Gemini 1.5 Pro

Elo 1,260

SWE-bench38%

Speed (tok/s)70 tok/s

Input / 1M Tokens$1.25/1M

Output / 1M Tokens$5/1M

Frequently Asked Questions

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

Similar Head-to-Head Comparisons

All FLUX.1 [dev] matchups →|All Gemini 1.5 Pro matchups →

FLUX.1 [dev] vs FLUX.1 [schnell] (next flux)Gemini 1.5 Pro vs Gemini 2.5 Pro (next gemini-pro)Gemini 3 Pro vs Gemini 1.5 Pro Gemini 3 Flash vs Gemini 1.5 Pro Gemini 2.0 Flash Thinking vs Gemini 1.5 Pro Gemini 3.6 Pro vs Gemini 1.5 Pro

Benchmark

FLUX.1 [dev]

Gemini 1.5 Pro

Advantage Delta

Image Elo

1,180

seed-bootstrap · Aug 1, 2026

—

Generation time

seed-bootstrap · Aug 1, 2026

—

Price per 1k images

$30/1k

seed-bootstrap · Aug 1, 2026

—

Prompt adherence

87.5%

seed-bootstrap · Aug 1, 2026

—

Text rendering

86%

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 [dev] or Gemini 1.5 Pro?

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 [dev] or Gemini 1.5 Pro?

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 [dev] or Gemini 1.5 Pro?

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 [dev] 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 [dev] and Gemini 1.5 Pro Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.