When you're iterating on ideas, generation speed matters. Too slow and you lose creative momentum. Too fast with poor quality and you waste time refining garbage. I benchmarked 6 models across Fal.ai to find the sweet spots.
Same prompt across all models: "A golden retriever playing in autumn leaves, warm sunlight"
This simple prompt tests realism, lighting, and composition without complex requirements.
Inference: 0.95 seconds | Resolution: 1024x576
This is the winner for rapid iteration. Sub-second generation with genuinely impressive quality - natural lighting, realistic fur texture, proper depth of field. The puppy pose is dynamic and engaging. At under 1 second, you can generate 60+ images per minute.
Use for: Prototyping, concept exploration, rapid iteration
Inference: 1.19 seconds | Resolution: 1024x576
Only 0.24s slower than FLUX/dev but noticeably improved photorealism. Better detail in the fur, more natural leaf scatter, improved color grading. The dog's expression and pose feel more authentic.
Use for: When you need FLUX/dev speed but slightly better quality
Resolution: 1344x768
Competitive speed with good lighting and composition. The atmospheric fog/mist adds nice depth. However, the dog's anatomy is slightly off (proportions feel compressed). Still impressive for rapid generation.
Use for: Quick drafts when Google ecosystem is preferred
Resolution: 1820x1024 (highest among "medium" tier)
Stunning detail and resolution. The most "professionally shot" look with dramatic lighting rays through trees. The dog's fur has incredible texture detail. However, the composition feels almost TOO dramatic - like a stock photo.
Use for: When you need portfolio-quality results without waiting
Resolution: 1408x768
Excellent balance of speed and Google's signature photorealism. Natural lighting, realistic motion blur in the leaves, authentic dog expression. Higher resolution than FLUX models. Very clean, professional output.
Use for: Final outputs when you trust Google's aesthetic
Resolution: 2752x1536 (2K!)
This is in a different league. The resolution is nearly 3x higher than FLUX/dev. Every detail is pristine - individual leaf veins, fur texture, perfect focus falloff. The dog is in a relaxed natural pose rather than action. This is "print-ready" quality.
Use for: Final hero images, client presentations, portfolio pieces
For Prototyping/Iteration (60+ images/hour):
For Good-Enough Finals (30-40 images/hour):
For Hero Images (Worth the wait):
The quality gap between "1 second" (FLUX/dev) and "slower" models is surprisingly small for most use cases. Unless you need 2K resolution or are pixel-peeping, FLUX/dev at 0.95s is absurdly good value.
Don't sleep on sub-second models. The creative advantage of testing 60 ideas in an hour outweighs marginal quality improvements from slower models.
All tested models: $0.025/megapixel on Fal.ai
The speed difference is pure iteration velocity - you're not paying a premium for slower "better" models. This makes FLUX/dev even more compelling: same price, 10-20x faster than traditional models.
Test Date: November 26, 2025
Platform: Fal.ai via image-mcp
Prompt: "A golden retriever playing in autumn leaves, warm sunlight"
A golden retriever playing in autumn leaves, warm sunlight
Use this MCP tool call to reproduce this generation:
{
"tool": "create",
"arguments": {
"model": "fal-ai/flux/dev",
"prompt": "A golden retriever playing in autumn leaves, warm sunlight",
"image_size": "landscape_16_9",
"inference_time": 0.95
}
}A golden retriever playing in autumn leaves, warm sunlight
Use this MCP tool call to reproduce this generation:
{
"tool": "create",
"arguments": {
"model": "fal-ai/flux-2",
"prompt": "A golden retriever playing in autumn leaves, warm sunlight",
"image_size": "landscape_16_9",
"inference_time": 1.19
}
}A golden retriever playing in autumn leaves, warm sunlight
Use this MCP tool call to reproduce this generation:
{
"tool": "create",
"arguments": {
"model": "fal-ai/nano-banana",
"prompt": "A golden retriever playing in autumn leaves, warm sunlight",
"aspect_ratio": "16:9"
}
}A golden retriever playing in autumn leaves, warm sunlight
Use this MCP tool call to reproduce this generation:
{
"tool": "create",
"arguments": {
"model": "fal-ai/imagen4/preview/fast",
"prompt": "A golden retriever playing in autumn leaves, warm sunlight",
"aspect_ratio": "16:9"
}
}A golden retriever playing in autumn leaves, warm sunlight
Use this MCP tool call to reproduce this generation:
{
"tool": "create",
"arguments": {
"model": "fal-ai/recraft/v3/text-to-image",
"prompt": "A golden retriever playing in autumn leaves, warm sunlight",
"image_size": "landscape_16_9"
}
}A golden retriever playing in autumn leaves, warm sunlight
Use this MCP tool call to reproduce this generation:
{
"tool": "create",
"arguments": {
"model": "fal-ai/flux-pro/v1.1-ultra",
"prompt": "A golden retriever playing in autumn leaves, warm sunlight",
"num_images": 1,
"output_format": "jpeg"
}
}