Pairwise benchmark snapshot · Aug 1, 2026

FLUX.1.1 [pro] vs Nano Banana Pro (Gemini 3 Pro Image) benchmark

Name: FLUX.1.1 [pro] vs Nano Banana Pro (Gemini 3 Pro Image) AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

Comparing verified benchmark accuracy, speed, and token pricing between FLUX.1.1 [pro] and Nano Banana Pro (Gemini 3 Pro Image). Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Share Analysis:

Verified Head-to-Head Advantage Breakdown

5 direct benchmark disciplines evaluated across capability, speed, and cost

FLUX.1.1 [pro] (2)Nano Banana Pro (Gemini 3 Pro Image) (3)

FLUX.1.1 [pro]

2 of 5 Wins

✓Generation time✓Price per 1k images

Nano Banana Pro (Gemini 3 Pro Image)

3 of 5 Wins

✓Image Elo✓Prompt adherence✓Text rendering

Black Forest Labs

Leads 2 of 5 metrics

FLUX.1.1 [pro]

First-generation professional API model from Black Forest Labs, renowned for 6x faster generation than original FLUX.1 Pro.

Img Elo 1,210$50/1k imgs

Google

Leads 3 of 5 metrics

Nano Banana Pro (Gemini 3 Pro Image)

Google DeepMind frontier multimodal image generation flagship with Deep Research and complex multi-object spatial reasoning.

Img Elo 1,299$134/1k imgs

Top Rival Showdowns for FLUX.1.1 [pro]

All Matchups

Compare vs:vs GPT Image 2 (High)vs Reve 2.1 vs Nano Banana 2 (Gemini 3.1 Flash Image)vs Ideogram 4.0 (Quality)vs Recraft V4.1 Utility Pro

Image Quality LeaderNano Banana Pro (Gemini 3 Pro Image) Wins

Nano Banana Pro (Gemini 3 Pro Image)

Δ 89 Image Elo pts

Generation Speed LeaderFLUX.1.1 [pro] Wins

FLUX.1.1 [pro]

3.2s per render

Value per Dollar LeaderFLUX.1.1 [pro] Wins

FLUX.1.1 [pro]

$50/1k images

Head-to-Head Comparison

Overall Matchup Breakdown

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

FLUX.1.1 [pro] (2)vsNano Banana Pro (Gemini 3 Pro Image) (3)

FLUX.1.1 [pro]: 2W (40%)Overall: Nano Banana Pro (Gemini 3 Pro Image)Nano Banana Pro (Gemini 3 Pro Image): 3W (60%)

← FLUX.1.1 [pro]Nano Banana Pro (Gemini 3 Pro Image) →

🏆Nano Banana Pro (Gemini 3 Pro Image)(3/3)

Visual Quality & Adherence

Arena Preference Elo, prompt fidelity & typography score

Benchmark

FLUX.1.1 [pro]vsNano Banana Pro (Gemini 3 Pro Image)

Image Elo

1,210vs1,299+89

Prompt adherence

89%vs92.5%+3.5%

Text rendering

89.5%vs93%+3.5%

FLUX.1.1 [pro]: 0WNano Banana Pro (Gemini 3 Pro Image): 3W

🏆FLUX.1.1 [pro](1/1)

Generation Latency

Time to render full-resolution image snapshot (seconds)

Benchmark

FLUX.1.1 [pro]vsNano Banana Pro (Gemini 3 Pro Image)

Generation time

3.2svs4.2s+1s

FLUX.1.1 [pro]: 1WNano Banana Pro (Gemini 3 Pro Image): 0W

🏆FLUX.1.1 [pro](1/1)

Cost Efficiency

API inference cost per 1,000 generated images

Benchmark

FLUX.1.1 [pro]vsNano Banana Pro (Gemini 3 Pro Image)

Price per 1k images

$50/1kvs$134/1k+$84/1k

FLUX.1.1 [pro]: 1WNano Banana Pro (Gemini 3 Pro Image): 0W

Side-by-Side Benchmark Matrix

Image Elo+89

FLUX.1.1 [pro]1,210

seed-bootstrap · Aug 1, 2026

Nano Banana Pro (Gemini 3 Pro Image)1,299

seed-bootstrap · Aug 1, 2026

Generation time+1s

FLUX.1.1 [pro]3.2s

seed-bootstrap · Aug 1, 2026

Nano Banana Pro (Gemini 3 Pro Image)4.2s

seed-bootstrap · Aug 1, 2026

Price per 1k images+$84/1k

FLUX.1.1 [pro]$50/1k

seed-bootstrap · Aug 1, 2026

Nano Banana Pro (Gemini 3 Pro Image)$134/1k

seed-bootstrap · Aug 1, 2026

Prompt adherence+3.5%

FLUX.1.1 [pro]89%

seed-bootstrap · Aug 1, 2026

Nano Banana Pro (Gemini 3 Pro Image)92.5%

seed-bootstrap · Aug 1, 2026

Text rendering+3.5%

FLUX.1.1 [pro]89.5%

seed-bootstrap · Aug 1, 2026

Nano Banana Pro (Gemini 3 Pro Image)93%

seed-bootstrap · Aug 1, 2026

Benchmark	FLUX.1.1 [pro]	Nano Banana Pro (Gemini 3 Pro Image)	Advantage Delta
Image Elo	1,210 seed-bootstrap · Aug 1, 2026	1,299 seed-bootstrap · Aug 1, 2026	+89
Generation time	3.2s seed-bootstrap · Aug 1, 2026	4.2s seed-bootstrap · Aug 1, 2026	+1s
Price per 1k images	$50/1k seed-bootstrap · Aug 1, 2026	$134/1k seed-bootstrap · Aug 1, 2026	+$84/1k
Prompt adherence	89% seed-bootstrap · Aug 1, 2026	92.5% seed-bootstrap · Aug 1, 2026	+3.5%
Text rendering	89.5% seed-bootstrap · Aug 1, 2026	93% seed-bootstrap · Aug 1, 2026	+3.5%

Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 63% with FLUX.1.1 [pro]

Monthly Image Production Volume25k images / month (25000 imgs)

Quick Presets:

FLUX.1.1 [pro]$1,250.00 / mo

Rate: $50/1k

Nano Banana Pro (Gemini 3 Pro Image)$3,350.00 / mo

Rate: $134/1k

Estimated Cost Delta

FLUX.1.1 [pro] is estimated to save $2,100.00/month ($25,200/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 AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK

Black Forest Labs

FLUX.1.1 [pro]

Elo n/a

SWE-bench—

Speed (tok/s)—

Input / 1M Tokens$50/1k

Output / 1M Tokens$50/1k

Google

Nano Banana Pro (Gemini 3 Pro Image)

Elo n/a

SWE-bench—

Speed (tok/s)—

Input / 1M Tokens$134/1k

Output / 1M Tokens$134/1k

Frequently Asked Questions

Which is better overall, FLUX.1.1 [pro] or Nano Banana Pro (Gemini 3 Pro Image)?: 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.1.1 [pro] or Nano Banana Pro (Gemini 3 Pro Image)?: 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.1.1 [pro] or Nano Banana Pro (Gemini 3 Pro Image)?: 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.1.1 [pro] and Nano Banana Pro (Gemini 3 Pro Image) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All FLUX.1.1 [pro] matchups →|All Nano Banana Pro (Gemini 3 Pro Image) matchups →

FLUX.1.1 [pro] vs FLUX.1 [schnell] (previous flux)FLUX.1.1 [pro] vs FLUX.2 [flex] (next flux)Nano Banana Pro (Gemini 3 Pro Image) vs Nano Banana 2 (Gemini 3.1 Flash Image) (next nano-banana)FLUX.2 [max] vs Nano Banana Pro (Gemini 3 Pro Image)FLUX.2 [flex] vs Nano Banana Pro (Gemini 3 Pro Image)Nano Banana 2 Lite vs Nano Banana Pro (Gemini 3 Pro Image)

Benchmark

FLUX.1.1 [pro]

Nano Banana Pro (Gemini 3 Pro Image)

Advantage Delta

Image Elo

1,210

seed-bootstrap · Aug 1, 2026

1,299

seed-bootstrap · Aug 1, 2026

+89

Generation time

3.2s

seed-bootstrap · Aug 1, 2026

4.2s

seed-bootstrap · Aug 1, 2026

+1s

Price per 1k images

$50/1k

seed-bootstrap · Aug 1, 2026

$134/1k

seed-bootstrap · Aug 1, 2026

+$84/1k

Prompt adherence

89%

seed-bootstrap · Aug 1, 2026

92.5%

seed-bootstrap · Aug 1, 2026

+3.5%

Text rendering

89.5%

seed-bootstrap · Aug 1, 2026

93%

seed-bootstrap · Aug 1, 2026

+3.5%

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.1.1 [pro] or Nano Banana Pro (Gemini 3 Pro Image)?

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.1.1 [pro] or Nano Banana Pro (Gemini 3 Pro Image)?

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.1.1 [pro] or Nano Banana Pro (Gemini 3 Pro Image)?

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.1.1 [pro] and Nano Banana Pro (Gemini 3 Pro Image) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.