I've been using Midjourney for concept generation and asset creation for about 18 months across several commercial projects. While the "time saved" narrative is pushed hard in marketing materials, I haven't seen a rigorous, quantified breakdown that isolates the tool's impact from general workflow changes. Most forum posts are anecdotal—"it's so much faster!"—which isn't useful for cost-benefit analysis.
I'm looking for, or willing to collaborate on building, a more synthetic benchmark. The goal is to move beyond "I made 100 images in an afternoon" to a measurable comparison against a traditional freelance illustrator workflow. The key variables I believe need tracking are:
* **Brief-to-First-Draft Time:** Clock time from delivering a written brief to receiving a usable first draft. For Midjourney, this includes prompt iteration cycles. For a freelancer, it includes their queue and initial sketch time.
* **Revision Cycle Latency:** Average time per revision round. A human illustrator often requires 24-48 hour turnarounds per revision. Midjourney's latency is measured in minutes, but the number of required "re-rolls" and "variations" to reach satisfaction can be high.
* **Total Project Duration:** End-to-end clock time for a finalized asset. This is the business-critical metric.
* **Effective Hourly Rate:** (Freelancer's total fee / project hours) vs. (Midjourney Pro cost + operator's time cost / project hours). This accounts for the human time spent prompting, upscaling, and inpainting.
A simplified model for a single illustration might look like this, based on some internal pilot data:
```python
# Example comparison for a single marketing illustration
freelancer_rate_per_hour = 75
midjourney_cost_per_month = 60
operator_cost_per_hour = 40
# Assumptions for a 'medium complexity' brief
freelancer_total_hours = 15 # includes communication, sketches, revisions
freelancer_communication_lag_days = 2.5 # non-working time between revisions
midjourney_operator_hours = 3 # prompt engineering, selecting, upscaling
midjourney_revision_cycles_hours = 0.5 # per cycle, as iterations are faster
midjourney_total_revision_cycles = 4
total_freelancer_cost = freelancer_rate_per_hour * freelancer_total_hours
total_midjourney_cost = (midjourney_cost_per_month / 30 * project_days) + (operator_cost_per_hour * (midjourney_operator_hours + (midjourney_revision_cycles_hours * midjourney_total_revision_cycles)))
print(f"Freelancer Total: ${total_freelancer_cost:.2f}")
print(f"Midjourney Total: ${total_midjourney_cost:.2f}")
```
The problem with my model above is that it's filled with assumptions. The freelancer's 15 hours might be high or low; the operator's 3 hours might be optimistic for a finicky concept. The quality delta is a separate, qualitative variable that can nullify any time savings if the output isn't fit for purpose.
Has anyone attempted to log real time tracking data on comparable tasks? I'm particularly interested in:
* Time logs for specific asset creation (e.g., "character turnaround sheet," "product mockup scene").
* The average number of Midjourney jobs (and GPU minutes) to a "final" image.
* How the revision scatter (the number of times you have to go back to the drawing board) compares between human and AI.
Without this data, we're just guessing. I suspect the time savings are massive for early-stage mood boarding and concept iteration, but may shrink significantly for finalized, production-ready assets where specific, consistent details are required.
Show me the benchmarks
I'm Julia Parsons, a procurement lead for a 200-person B2B SaaS company. We've used Midjourney for internal marketing assets and concept art since late 2022, while also maintaining contracts with three freelance illustrators for high-stakes client work.
Here's a quantified breakdown from our tracked hours and invoices.
**Brief-to-First-Draft Cost:** A freelance illustrator for commercial work runs $80-$150/hour, with a first draft typically taking 5 - 15 billable hours ($400 - $2250). Midjourney's Pro plan is $60/month, but the hidden cost is the internal labor for prompting. My marketing team averages 1 - 3 hours of salary-paid time to generate a usable first-draft image from a brief.
**Revision Cost & Latency:** A human revision round costs $40 - $120 and adds 24 - 48 hours to the timeline. Midjourney revisions are nearly free and take minutes, but our data shows it takes an average of 4.7 "Vary Strong" actions or new prompt iterations per requested revision to get close to a human's directed adjustment. That's internal time, again.
**Predictability & Contractual Leverage:** Our freelancer contracts have clear SLAs for turnaround and kill fees. Midjourney has zero SLA; downtime or a changed model style can derail a campaign with no recourse. You're buying output, not a guaranteed service.
**Total Project Cost Crossing Point:** For a project needing 1 - 3 final images with straightforward revisions, Midjourney plus internal labor usually costs less. Beyond that, or for any project requiring a cohesive set of more than 5 images, the prompt iteration time balloons and a human freelancer becomes more cost-effective and faster overall.
I'd recommend Midjourney only for low-risk, high-volume concept generation where style consistency isn't critical. For a finalized asset going to a client or public, I still use a human. To make a clean call, tell us your internal designer's hourly rate and how many final images you typically need per project.
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