Qwen Image 2512 (Latest) vs FLUX.2 Klein 9B FP8 (Recommended)

Last data update: 2026-06-11T22:17:24.345Z

Intent: image-same-category-deployment-comparison

Quality gate

Eligible for indexable canary
yes
Evidence score
7
CheckPassEvidence
same-type intent yes image vs image
distinct models yes qwen-image-2512 vs flux2-klein-9b-fp8
pricing present yes $0.49/hr and $0.39/hr
deployment target present yes gpu-a6000 and gpu-l4
source config facts present yes 39 facts and 39 facts
same-type catalog context present yes 27 image catalog rows
asset evidence when workflow model yes 80 matched asset rows

Evidence summary

Qwen Image 2512 (Latest)FLUX.2 Klein 9B FP8 (Recommended)
Model groupqwen-imageflux2-klein
Typeimageimage
Source idqwen-image-2512flux2-klein-9b-fp8
Model size tierlargemedium
Deployment templatecomfyui-qwen-image-2512comfyui-flux2
Docker image basecomfyuicomfyui
Container port81888188
Web UI portn/an/a
Volume mount path/data/data
Parametersn/a9B
Context windown/an/a
VRAM (GB)4824
Recommended GPUgpu-a6000gpu-l4
GPU typeNVIDIA RTX A6000NVIDIA L4
GPU count11
vCPU912
RAM (GB)5050
Disk (GB)200200
Instance typegpu-high-vram-valuegpu-efficient
RunPod idn/an/a
$/hr$0.49$0.39
$/month (24/7)$352.8$280.8
Popularity (1-10)1111
Deploy time (min)1818
Cost delta /hr
$-0.1
VRAM delta GB
-24
Best GPU tier to fit both
gpu-a6000

Cost scenarios

Usage levelHours / monthqwen-image-2512flux2-klein-9b-fp8Delta
Prototype, 40 hr/mo 40 $19.6 $15.6 $-4
Part-time app, 160 hr/mo 160 $78.4 $62.4 $-16
Always-on, 720 hr/mo 720 $352.8 $280.8 $-72

Decision matrix

Factorqwen-image-2512flux2-klein-9b-fp8Winner
Lower hourly cost $0.49/hr $0.39/hr flux2-klein-9b-fp8
Lower 24/7 monthly cost $352.8/mo $280.8/mo flux2-klein-9b-fp8
Lower VRAM tier 48GB 24GB flux2-klein-9b-fp8
Higher popularity score 11/10 11/10 qwen-image-2512
Faster deployment estimate 18 min 18 min qwen-image-2512
Template specificity comfyui-qwen-image-2512 comfyui-flux2 qwen-image-2512

Pair config delta

Description comparison

Fieldqwen-image-2512flux2-klein-9b-fp8
Description#1 open-source model; Superior text rendering, realistic humans;Fastest Flux model; Sub-second generation, 4-step distilled; Runs on RTX 4090;
Use casesMarketing and advertising visuals; Product photography; Text-heavy graphic design; Realistic portrait generationSub-second image generation; Real-time AI applications; Consumer GPU deployment; Open-source commercial use (Apache 2.0)
Related groupsflux-2-klein; z-image-turbo; fluxflux-2; z-image-turbo; flux

Deployment facts

Deployment payload fields

qwen-image-2512__flux2-klein-9b-fp8.candidate_a.modelType=image
qwen-image-2512__flux2-klein-9b-fp8.candidate_a.modelName=qwen-image-2512
qwen-image-2512__flux2-klein-9b-fp8.candidate_a.instanceId=gpu-a6000
qwen-image-2512__flux2-klein-9b-fp8.candidate_a.templateName=comfyui-qwen-image-2512
qwen-image-2512__flux2-klein-9b-fp8.candidate_a.containerPort=default
qwen-image-2512__flux2-klein-9b-fp8.candidate_a.dockerImageBaseName=comfyui
qwen-image-2512__flux2-klein-9b-fp8.candidate_b.modelType=image
qwen-image-2512__flux2-klein-9b-fp8.candidate_b.modelName=flux2-klein-9b-fp8
qwen-image-2512__flux2-klein-9b-fp8.candidate_b.instanceId=gpu-l4
qwen-image-2512__flux2-klein-9b-fp8.candidate_b.templateName=comfyui-flux2
qwen-image-2512__flux2-klein-9b-fp8.candidate_b.containerPort=default
qwen-image-2512__flux2-klein-9b-fp8.candidate_b.dockerImageBaseName=comfyui

Matched model assets

Paired source evidence

Pair-scoped catalog context

FAQ

What GPU runs qwen-image-2512 in the qwen-image-2512 vs flux2-klein-9b-fp8 comparison?

For qwen-image-2512 vs flux2-klein-9b-fp8, qwen-image-2512 uses GPU High VRAM (A6000) with 48GB VRAM at $0.49/hr.

What GPU runs flux2-klein-9b-fp8 in the qwen-image-2512 vs flux2-klein-9b-fp8 comparison?

For qwen-image-2512 vs flux2-klein-9b-fp8, flux2-klein-9b-fp8 uses GPU Efficient (L4) with 24GB VRAM at $0.39/hr.

Which is cheaper to run 24/7 for qwen-image-2512 vs flux2-klein-9b-fp8?

For qwen-image-2512 vs flux2-klein-9b-fp8, flux2-klein-9b-fp8 is cheaper at $280.80/month vs $352.80/month.