Pairwise benchmark snapshot · Aug 1, 2026

FLUX.2 [max] vs Nano Banana 2 Lite benchmark

Name: FLUX.2 [max] vs Nano Banana 2 Lite AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares FLUX.2 [max] (Black Forest Labs) and Nano Banana 2 Lite (Google) 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.2 [max]

Black Forest Labs maximum-capacity flow-matching model with photoreal anatomy and leading typography fidelity.

Img Elo 1,233$70/1k imgs

Google

Nano Banana 2 Lite

Sub-1.5 second ultra-low latency tier for real-time applications and mobile game asset pipelines.

Lite / Sub-1.5sImg Elo 1,293$33.6/1k imgs

Model Lineage & Multi-Tier Derivatives

FLUX.2 Series Family (2 models)

FLUX.2 [max]

Black Forest Labs

Flagship Base

Elo

1233

Latency

5.1s

Price

$70/1k

Viewing now

FLUX.2 [flex]

Black Forest Labs

Flex / Turbo

Elo

1224

Latency

2.8s

Price

$60/1k

-9 Elo-14% cost

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Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

FLUX.2 [max] (2)vsNano Banana 2 Lite (3)

FLUX.2 [max]: 2W (40%)Overall: Nano Banana 2 LiteNano Banana 2 Lite: 3W (60%)

← FLUX.2 [max]Nano Banana 2 Lite →

FLUX.2 [max] (2/3)

Visual Quality & Adherence

Arena Preference Elo, prompt fidelity & typography score

Image Elo

1,233vs1,293

Prompt adherence

91.2%vs89.5%

Text rendering

92.8%vs90%

FLUX.2 [max]: 2WNano Banana 2 Lite: 1W

Nano Banana 2 Lite (1/1)

Generation Latency

Time to render full-resolution image snapshot (seconds)

Generation time

5.1svs1.4s

FLUX.2 [max]: 0WNano Banana 2 Lite: 1W

Nano Banana 2 Lite (1/1)

Cost Efficiency

API inference cost per 1,000 generated images

Price per 1k images

$70/1kvs$33.6/1k

FLUX.2 [max]: 0WNano Banana 2 Lite: 1W

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 AdvantageNano Banana 2 Lite 3/6

Image Preference Elo

Nano Banana 2 Lite

60 pts advantage

Generation Latency

Nano Banana 2 Lite

3.7s faster

Image Price Efficiency

Nano Banana 2 Lite

$36.4/1k cheaper

Full Benchmark Score Matrix

—

Img Elo

High is better

1,233

Img EloHigh is better

1,293+5%

Gen Time

Low is better

5.1s

Gen TimeLow is better

1.4s+264%

Img $

Low is better

$70/1k

Img $Low is better

$33.6/1k+108%

Prompt %

High is better

+2%91.2%

Prompt %High is better

89.5%

Text %

High is better

+3%92.8%

Text %High is better

90%

Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 52% with Nano Banana 2 Lite

Monthly Image Production Volume25k images / month (25000 imgs)

Quick Presets:

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

Rate: $70/1k

Nano Banana 2 Lite$840.00 / mo

Rate: $33.6/1k

Estimated Cost Delta

Nano Banana 2 Lite is estimated to save $910.00/month ($10,920/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.2 [max]

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost—

Google

Nano Banana 2 Lite

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost—

Frequently Asked Questions

Which is better overall, FLUX.2 [max] or Nano Banana 2 Lite?: 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 Nano Banana 2 Lite?: 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 Nano Banana 2 Lite?: 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 Nano Banana 2 Lite 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 Nano Banana 2 Lite matchups →

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

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

FLUX.2 [max] (2)vsNano Banana 2 Lite (3)

FLUX.2 [max]: 2W (40%)Overall: Nano Banana 2 LiteNano Banana 2 Lite: 3W (60%)

← FLUX.2 [max]Nano Banana 2 Lite →

FLUX.2 [max] (2/3)

Visual Quality & Adherence

Arena Preference Elo, prompt fidelity & typography score

Image Elo

1,233vs1,293

Prompt adherence

91.2%vs89.5%

Text rendering

92.8%vs90%

FLUX.2 [max]: 2WNano Banana 2 Lite: 1W

Nano Banana 2 Lite (1/1)

Generation Latency

Time to render full-resolution image snapshot (seconds)

Generation time

5.1svs1.4s

FLUX.2 [max]: 0WNano Banana 2 Lite: 1W

Nano Banana 2 Lite (1/1)

Cost Efficiency

API inference cost per 1,000 generated images

Price per 1k images

$70/1kvs$33.6/1k

FLUX.2 [max]: 0WNano Banana 2 Lite: 1W

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 Nano Banana 2 Lite?

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 Nano Banana 2 Lite?

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 Nano Banana 2 Lite?

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 Nano Banana 2 Lite Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.