FLUX.2 Klein 9B FP8 (Recommended)
Fastest Flux model. Sub-second generation, 4-step distilled. Runs on RTX 4090.
- GPU tier
- GPU Efficient (L4)
- Base rate
- $0.39/hr
- VRAM
- 24GB
- Template
- comfyui-flux2
FLUX.2 Klein 4B (Apache 2.0)
Fully open source (Apache 2.0). Fast generation on RTX 3090/4070. ~13GB VRAM.
- GPU tier
- GPU Efficient (L4)
- Base rate
- $0.39/hr
- VRAM
- 24GB
- Template
- comfyui-flux2
Deployment facts
| Factor | FLUX.2 Klein 9B FP8 (Recommended) | FLUX.2 Klein 4B (Apache 2.0) |
|---|---|---|
| Model family | flux2-klein | flux2-klein |
| Variant | 9B FP8 (Recommended) | 4B (Apache 2.0) |
| Type | image | image |
| Deployment template | comfyui-flux2 | comfyui-flux2 |
| GPU tier | GPU Efficient (L4) | GPU Efficient (L4) |
| GPU | NVIDIA L4 | NVIDIA L4 |
| VRAM | 24GB | 24GB |
| vCPU / RAM / disk | 12 vCPU / 50GB RAM / 200GB disk | 12 vCPU / 50GB RAM / 200GB disk |
| Base GPU rate | $0.39/hr | $0.39/hr |
| Base 24/7 monthly rate | $281/mo | $281/mo |
| Estimated first deploy | 18 min | 18 min |
| Config source | flux2-klein-9b-fp8 | flux2-klein-4b |
Base GPU rates are sourced from the current instance configuration. Final billed price can include ModelPilot service markup and active usage settings.
Cost scenarios
| Usage level | Hours/mo | FLUX.2 Klein 9B FP8 (Recommended) | FLUX.2 Klein 4B (Apache 2.0) |
|---|---|---|---|
| Prototype | 40 | $15.60 | $15.60 |
| Part-time app | 160 | $62.40 | $62.40 |
| Always-on | 720 | $281 | $281 |
Evidence summary
- flux2-klein-9b-fp8 and flux2-klein-4b are both image models, so this page compares a real same-category deployment decision rather than unrelated catalog entries.
- FLUX.2 Klein 9B FP8 (Recommended) maps to GPU Efficient (L4) at $0.39/hr; FLUX.2 Klein 4B (Apache 2.0) maps to GPU Efficient (L4) at $0.39/hr.
- FLUX.2 Klein 9B FP8 (Recommended) uses comfyui-flux2 with comfyui; FLUX.2 Klein 4B (Apache 2.0) uses comfyui-flux2 with comfyui.
- FLUX.2 Klein 9B FP8 (Recommended) is positioned for Sub-second image generation and Real-time AI applications; FLUX.2 Klein 4B (Apache 2.0) is positioned for Sub-second image generation and Real-time AI applications.
- The comparison is generated from ModelPilot's committed modelConfig, modelSeoData, and instanceConfig files so deployment facts stay tied to the product catalog.
Decision matrix
| Factor | FLUX.2 Klein 9B FP8 (Recommended) | FLUX.2 Klein 4B (Apache 2.0) | Winner |
|---|---|---|---|
| Lower base GPU cost | $0.39/hr | $0.39/hr | Tie |
| Lower VRAM requirement | 24GB | 24GB | Tie |
| Higher catalog popularity | 11 score | 10 score | FLUX.2 Klein 9B FP8 (Recommended) |
| Cheaper always-on deployment | $281/mo | $281/mo | Tie |
| More specific deployment template | comfyui-flux2 | comfyui-flux2 | Tie |
FAQ
Which is cheaper to run, FLUX.2 Klein 9B FP8 (Recommended) or FLUX.2 Klein 4B (Apache 2.0)?
FLUX.2 Klein 9B FP8 (Recommended) has the lower base GPU rate in the current ModelPilot config at $0.39/hr before any service markup or usage-specific adjustments.
Which uses less VRAM, FLUX.2 Klein 9B FP8 (Recommended) or FLUX.2 Klein 4B (Apache 2.0)?
FLUX.2 Klein 9B FP8 (Recommended) maps to the lower VRAM tier at 24GB in the current deployment recommendation.
Can both models run through ModelPilot?
Yes. FLUX.2 Klein 9B FP8 (Recommended) uses the comfyui-flux2 deployment template and FLUX.2 Klein 4B (Apache 2.0) uses comfyui-flux2. Check the deploy flow before launch for current template availability and pricing.