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

FLUX.2 [max] vs Google: Gemini 3.5 Flash Lite (batch) benchmark

Name: FLUX.2 [max] vs Google: Gemini 3.5 Flash Lite (batch) 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 Google: Gemini 3.5 Flash Lite (batch). Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Share Analysis:Share:

WhatsApp Telegram X LinkedIn

Executive Verdict Summary

FLUX.2 [max] holds empirical advantage (0 of 0 metrics)

Coding / SWESWE-bench

FLUX.2 [max]Top code solve rate

ReasoningGPQA / Live

FLUX.2 [max]Top logical accuracy

Best Value$/1M Tok

Google: Gemini 3.5 Flash Lite (batch)Lowest API billing cost

Speed / TokTok/Sec

FLUX.2 [max]Fastest stream rate

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

Google: Gemini 3.5 Flash Lite (batch)

Auto-discovered from OpenRouter (google/gemini-3.5-flash-lite:batch). Preview until a second source matches.

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

Overall Matchup Breakdown

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

FLUX.2 [max] (5)vsGoogle: Gemini 3.5 Flash Lite (batch) (0)

FLUX.2 [max]: 5W (100%)Google: Gemini 3.5 Flash Lite (batch): 0W (0%)

← FLUX.2 [max]Google: Gemini 3.5 Flash Lite (batch) →

🏆FLUX.2 [max] Leads(3/3)

Visual Quality & Adherence

Arena Preference Elo, prompt fidelity & typography score

Benchmark

FLUX.2 [max]vsGoogle: Gemini 3.5 Flash Lite (batch)

Image Elo

1,233vs—

Prompt adherence

91.2%vs—

Text rendering

92.8%vs—

FLUX.2 [max]: 3WGoogle: Gemini 3.5 Flash Lite (batch): 0W

🏆FLUX.2 [max] Leads(1/1)

Generation Latency

Time to render full-resolution image snapshot (seconds)

Benchmark

FLUX.2 [max]vsGoogle: Gemini 3.5 Flash Lite (batch)

Generation time

5.1svs—

FLUX.2 [max]: 1WGoogle: Gemini 3.5 Flash Lite (batch): 0W

🏆FLUX.2 [max] Leads(1/1)

Cost Efficiency

API inference cost per 1,000 generated images

Benchmark

FLUX.2 [max]vsGoogle: Gemini 3.5 Flash Lite (batch)

Price per 1k images

$70/1kvs—

FLUX.2 [max]: 1WGoogle: Gemini 3.5 Flash Lite (batch): 0W

Side-by-Side Benchmark Matrix

FLUX.2 [max]Google: Gemini 3.5 Flash Lite (batch)

Image Elo

FLUX.2 [max]1,233

Google: Gemini 3.5 Flash Lite (batch)—

Generation time

FLUX.2 [max]5.1s

Google: Gemini 3.5 Flash Lite (batch)—

Price per 1k images

FLUX.2 [max]$70/1k

Google: Gemini 3.5 Flash Lite (batch)—

Prompt adherence

FLUX.2 [max]91.2%

Google: Gemini 3.5 Flash Lite (batch)—

Text rendering

FLUX.2 [max]92.8%

Google: Gemini 3.5 Flash Lite (batch)—

Benchmark	FLUX.2 [max]	Google: Gemini 3.5 Flash Lite (batch)	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	—	—

Workload Cost & Savings Calculator

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

Save 100% with Google: Gemini 3.5 Flash Lite (batch)

Monthly Image Production Volume25k images / month (25000 imgs)

Quick Presets:

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

Rate: $70/1k

Google: Gemini 3.5 Flash Lite (batch)$0.00 / mo

Rate: $0/1k

Estimated Cost Delta

Google: Gemini 3.5 Flash Lite (batch) 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 / visionFLUX.2 [max]

FLUX.2 [max] is the side marked multimodal in the catalog.

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	FLUX.2 [max]	FLUX.2 [max] is the side marked multimodal in the catalog.

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!

Social Share Card Preview

Dynamic OpenGraph banner generated at /compare/flux-2-max-vs-gemini-3-5-flash-lite-batch/opengraph-image

Save PNG

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

Google

Google: Gemini 3.5 Flash Lite (batch)

Elo n/a

SWE-bench—

Speed (tok/s)1M

Input / 1M Tokens$0.15/1M

Output / 1M Tokens$1.25/1M

Frequently Asked Questions

Which is better overall, FLUX.2 [max] or Google: Gemini 3.5 Flash Lite (batch)?: 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 Google: Gemini 3.5 Flash Lite (batch)?: 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 Google: Gemini 3.5 Flash Lite (batch)?: 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 Google: Gemini 3.5 Flash Lite (batch) 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 Google: Gemini 3.5 Flash Lite (batch) matchups →

FLUX.2 [max] vs FLUX.2 [flex] (previous flux)

Side-by-Side Benchmark Matrix

FLUX.2 [max]Google: Gemini 3.5 Flash Lite (batch)

Image Elo

FLUX.2 [max]1,233

Google: Gemini 3.5 Flash Lite (batch)—

Generation time

FLUX.2 [max]5.1s

Google: Gemini 3.5 Flash Lite (batch)—

Price per 1k images

FLUX.2 [max]$70/1k

Google: Gemini 3.5 Flash Lite (batch)—

Prompt adherence

FLUX.2 [max]91.2%

Google: Gemini 3.5 Flash Lite (batch)—

Text rendering

FLUX.2 [max]92.8%

Google: Gemini 3.5 Flash Lite (batch)—

Benchmark	FLUX.2 [max]	Google: Gemini 3.5 Flash Lite (batch)	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 / visionFLUX.2 [max]

FLUX.2 [max] is the side marked multimodal in the catalog.

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	FLUX.2 [max]	FLUX.2 [max] is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, FLUX.2 [max] or Google: Gemini 3.5 Flash Lite (batch)?

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 Google: Gemini 3.5 Flash Lite (batch)?

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 Google: Gemini 3.5 Flash Lite (batch)?

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 Google: Gemini 3.5 Flash Lite (batch) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.