Live Benchmark · Feb 2026
Eight seconds. Commercial licensing. Zero compromise. Compare every capability below.
⚡ 24s
Midjourney
Style-first, control-last
1024×1024v7
Overall Score71/100
◆ LEADER
⚡ 7.8s
Prompt
Commercial-grade. Every time.
2048×2048Diffusion-X3
Overall Score97/100
⚡ 31s
Adobe Firefly
Safe for stock, slow for speed
1024×1024Firefly 3
Overall Score63/100
Scroll to compare
◈ Feature Matrix
The evidence speaks for itself.
Every cell is a data point. Every gap in a competitor column is a workflow you'd have to work around.
| Capability | ◆ Prompt | Midjourney | Adobe Firefly |
|---|---|---|---|
Generation SpeedPerformance | 7.8s avg 7.8s avgDiffusion-X3 pipeline, GPU-sharded across 8×H100 | 24s avg 24s avgQueue-based rendering, no SLA | 31s avg 31s avgCloud-dependent, latency spikes at peak |
Max Output ResolutionQuality | 2048×2048 2048×2048Native 2K, 4K upscale included in all plans | 1024×1024 1024×1024Upscale available but quality degrades | 1024×1024 1024×1024Limited to 1K native output |
Text Rendering in ImageAccuracy | Full support Full supportLegible typography, signage, labels — zero hallucination in 94% of tests | Unreliable UnreliableKnown weakness: garbled text, wrong characters | Partial PartialShort phrases only, fails on complex layouts |
Commercial LicensingLegal | Full commercial Full commercialAll outputs owned by user, cleared for ad campaigns, product packaging, editorial | Pro plan only Pro plan onlyBasic plan restricts commercial use, confusing terms | Full commercial Full commercialAdobe-licensed training data, cleared for commercial use |
Inpainting / OutpaintingEditing | Both included Both includedPixel-perfect mask editor, seamless boundary blending, context-aware fill | Vary (Region) Vary (Region)Limited inpaint via Discord, no outpaint | Photoshop only Photoshop onlyGenerative Fill requires Photoshop subscription |
Batch GenerationWorkflow | Up to 100/job Up to 100/jobParallel rendering, CSV prompt import, named output files | 4 per prompt 4 per promptGrid of 4, no true batch API | 4 per prompt 4 per promptNo batch API, manual only |
API Access & LatencyDeveloper | <200ms p95 <200ms p95REST + WebSocket, SDKs for JS/Python/Go, 99.9% SLA | No public API No public APIDiscord-only, no programmatic access | Firefly API (beta) Firefly API (beta)Adobe enterprise only, high latency, limited endpoints |
Style TransferCreative | Reference image Reference imageUpload style reference, strength slider 0–100, preserves content structure | Style reference Style referencesref parameter, limited control | Style presets Style presetsPreset-only, no custom style upload |
Upscale CeilingQuality | 16× (8K) 16× (8K)AI upscaler preserves detail, no artifact bleed at 16× | 2× creative 2× creativeQuality degrades above 2× | 4× max 4× maxAdobe Super Res, acceptable at 4× only |
Data sourced from internal benchmarks · Feb 2026 · Hover cells for methodology
◈ Field Reports
From the people who ship at 2am.
22min3 hero variants
"I mocked up three landing page hero variants in 22 minutes at 2am. Shipped the A/B test before coffee. Midjourney couldn't render the product label correctly after 12 attempts."
Kieran Walsh
Solo Founder · Cartform (YC W25)
15 variantsin 4 hours
"Fifteen ad variants by 9am for a client presentation. The text in every image was legible — brand name, tagline, CTA. That's been impossible with every other tool."
Priya Nair
Creative Director · Meridian Studio, NYC
80 variantsper scene pass
"Concept art pipeline went from 3-day freelancer turnaround to same-session iteration. Batch API lets me generate 80 variants per scene pass. Nothing else comes close."
Marcus Johansson
Lead Environment Artist · Voidframe Games, Stockholm
◈ Full Benchmark Report · 47 pages
The complete data behind every claim.
47 pages of methodology, raw benchmark data, and head-to-head output comparisons across 200 prompt types. If you need to justify the switch to a team, this is the document.
97/100
Arena Score
<200ms
API p95 latency
2K native
Output resolution
94%
Text render accuracy