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

FLUX.1 [dev] vs Qwen: Qwen3 30B A3B Thinking 2507 benchmark

Name: FLUX.1 [dev] vs Qwen: Qwen3 30B A3B Thinking 2507 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 Qwen: Qwen3 30B A3B Thinking 2507. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

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Executive Verdict Summary

FLUX.1 [dev] holds empirical advantage (0 of 0 metrics)

Coding / SWESWE-bench

FLUX.1 [dev]Top code solve rate

ReasoningGPQA / Live

FLUX.1 [dev]Top logical accuracy

Best Value$/1M Tok

Qwen: Qwen3 30B A3B Thinking 2507Lowest API billing cost

Speed / TokTok/Sec

FLUX.1 [dev]Fastest stream rate

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

Alibaba

Qwen: Qwen3 30B A3B Thinking 2507

Auto-discovered from OpenRouter (qwen/qwen3-30b-a3b-thinking-2507). Preview until a second source matches.

FLUX.1 Series Lineage & Sibling Variants

3 models

Currently comparing FLUX.1 [dev] vs Qwen: Qwen3 30B A3B Thinking 2507. 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

Overall Matchup Breakdown

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

FLUX.1 [dev] (5)vsQwen: Qwen3 30B A3B Thinking 2507 (0)

FLUX.1 [dev]: 5W (100%)Qwen: Qwen3 30B A3B Thinking 2507: 0W (0%)

← FLUX.1 [dev]Qwen: Qwen3 30B A3B Thinking 2507 →

🏆FLUX.1 [dev] Leads(3/3)

Visual Quality & Adherence

Arena Preference Elo, prompt fidelity & typography score

Benchmark

FLUX.1 [dev]vsQwen: Qwen3 30B A3B Thinking 2507

Image Elo

1,180vs—

Prompt adherence

87.5%vs—

Text rendering

86%vs—

FLUX.1 [dev]: 3WQwen: Qwen3 30B A3B Thinking 2507: 0W

🏆FLUX.1 [dev] Leads(1/1)

Generation Latency

Time to render full-resolution image snapshot (seconds)

Benchmark

FLUX.1 [dev]vsQwen: Qwen3 30B A3B Thinking 2507

Generation time

4svs—

FLUX.1 [dev]: 1WQwen: Qwen3 30B A3B Thinking 2507: 0W

🏆FLUX.1 [dev] Leads(1/1)

Cost Efficiency

API inference cost per 1,000 generated images

Benchmark

FLUX.1 [dev]vsQwen: Qwen3 30B A3B Thinking 2507

Price per 1k images

$30/1kvs—

FLUX.1 [dev]: 1WQwen: Qwen3 30B A3B Thinking 2507: 0W

Side-by-Side Benchmark Matrix

FLUX.1 [dev]Qwen: Qwen3 30B A3B Thinking 2507

Image Elo

FLUX.1 [dev]1,180

Qwen: Qwen3 30B A3B Thinking 2507—

Generation time

FLUX.1 [dev]4s

Qwen: Qwen3 30B A3B Thinking 2507—

Price per 1k images

FLUX.1 [dev]$30/1k

Qwen: Qwen3 30B A3B Thinking 2507—

Prompt adherence

FLUX.1 [dev]87.5%

Qwen: Qwen3 30B A3B Thinking 2507—

Text rendering

FLUX.1 [dev]86%

Qwen: Qwen3 30B A3B Thinking 2507—

Benchmark	FLUX.1 [dev]	Qwen: Qwen3 30B A3B Thinking 2507	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	—	—

Workload Cost & Savings Calculator

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

Save 100% with Qwen: Qwen3 30B A3B Thinking 2507

Monthly Image Production Volume25k images / month (25000 imgs)

Quick Presets:

FLUX.1 [dev]$750.00 / mo

Rate: $30/1k

Qwen: Qwen3 30B A3B Thinking 2507$0.00 / mo

Rate: $0/1k

Estimated Cost Delta

Qwen: Qwen3 30B A3B Thinking 2507 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 / visionFLUX.1 [dev]

FLUX.1 [dev] 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.1 [dev]	FLUX.1 [dev] 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!

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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

Alibaba

Qwen: Qwen3 30B A3B Thinking 2507

Elo n/a

SWE-bench—

Speed (tok/s)82k

Input / 1M Tokens$0.2/1M

Output / 1M Tokens$2.4/1M

Frequently Asked Questions

Which is better overall, FLUX.1 [dev] or Qwen: Qwen3 30B A3B Thinking 2507?: 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 Qwen: Qwen3 30B A3B Thinking 2507?: 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 Qwen: Qwen3 30B A3B Thinking 2507?: 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 Qwen: Qwen3 30B A3B Thinking 2507 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 Qwen: Qwen3 30B A3B Thinking 2507 matchups →

FLUX.1 [dev] vs FLUX.1 [schnell] (next flux)

Side-by-Side Benchmark Matrix

FLUX.1 [dev]Qwen: Qwen3 30B A3B Thinking 2507

Image Elo

FLUX.1 [dev]1,180

Qwen: Qwen3 30B A3B Thinking 2507—

Generation time

FLUX.1 [dev]4s

Qwen: Qwen3 30B A3B Thinking 2507—

Price per 1k images

FLUX.1 [dev]$30/1k

Qwen: Qwen3 30B A3B Thinking 2507—

Prompt adherence

FLUX.1 [dev]87.5%

Qwen: Qwen3 30B A3B Thinking 2507—

Text rendering

FLUX.1 [dev]86%

Qwen: Qwen3 30B A3B Thinking 2507—

Benchmark	FLUX.1 [dev]	Qwen: Qwen3 30B A3B Thinking 2507	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	—	—

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.1 [dev]

FLUX.1 [dev] 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.1 [dev]	FLUX.1 [dev] is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, FLUX.1 [dev] or Qwen: Qwen3 30B A3B Thinking 2507?

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 Qwen: Qwen3 30B A3B Thinking 2507?

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 Qwen: Qwen3 30B A3B Thinking 2507?

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 Qwen: Qwen3 30B A3B Thinking 2507 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.