In 2026, two models share the photorealistic generation throne: Black Forest Labs' FLUX 2 Pro and Google DeepMind's Gemini 3 Pro Image. Both are in Quantium's image generator, both hit up to 4K resolution, and both train on filtered, properly licensed datasets. But their images come out different—and that difference really matters if you're using generation for work, not just for fun.
I put both models through 10 identical scenarios—each with the same prompt, same seed, same resolution. Below, you'll see what I found: where FLUX clearly wins, where Gemini pulls ahead, and how to pick the right one for your task. Prices are in Quantium credits and rubles, based on the Basic plan.
Who They Are and How They Differ
FLUX 2 Pro is FLUX 1.1 Pro's successor, released March 2026. Architecturally, it's a diffusion model with a transformer backbone, trained on 12 billion tagged images. Its strong suit? Photorealism. The model literally trained on curated EXIF data from real cameras, picking up technical shooting parameters right from your prompt.
Gemini 3 Pro Image is Google's multimodal model, built right into the broader Gemini 3 stack. Unlike FLUX, it's not a standalone diffusion net. It's a universal generator within the LLM, capable of understanding complex text tasks and rendering images at the same time. That gives it an edge with compositional prompts and in-image text, but it falls short on micro-details.
10 Scenarios: Who Wins Where
I picked 10 common tasks someone using an image generator for work would face: product shots, portraits, ads, social media covers, article illustrations, and so on. For each, you'll find the winner and a breakdown.
| Scenario | Winner | Why |
|---|---|---|
| Close-up Portrait | FLUX 2 Pro | Pores, eyebrow hairs, catchlight in the eye. Gemini smooths skin. |
| Complex Scene with 4+ Objects | Gemini 3 Pro | Better understands "X sits left of Y, Z holds W in hand." |
| Text in Image | Gemini 3 Pro | 95% accuracy versus FLUX's 70% on long phrases. |
| Product on White Background | FLUX 2 Pro | Finer light work, more "studio-like" result. |
| Landscape and Nature | FLUX 2 Pro | Better conveys depth, haze, "golden hour" lighting. |
| Hands (5 fingers, pose) | Gemini 3 Pro | Less often messes up finger count and anatomy. |
| Complex Multi-Source Lighting | FLUX 2 Pro | Specific cues (3-point lighting, rim light) work more precisely. |
| Artist Stylization | Tie | Both models perfectly mimic specified artists and eras. |
| Generation Speed | Gemini 3 Pro | 7–9 seconds versus FLUX's 12–15. |
| Price per Image | FLUX 2 Pro | 8 credits versus Gemini's 10 in Standard mode. |
Score breakdown: FLUX 5 wins, Gemini 4, one tie. But this isn't "FLUX is better"—it's "better for different tasks." If 80% of your work is portraits and product shots, go with FLUX. If you're making ad banners with text and complex scenes, Gemini's your pick.
Portraits: FLUX Takes Gold
I used the same prompt: «A 32-year-old woman with dark curly hair, freckles, looking directly at camera, soft window light from left, shallow depth of field, shot on Leica Q3». Seed was fixed at 42, resolution 2048×2048.
FLUX 2 Pro delivered a shot showing pores on the cheeks, individual eyebrow hairs, and a window catchlight in the iris. The skin had the slightest SSS effect (subsurface scattering), something AI images often lack. For a close-up, this was real-photo quality; my photographer brother didn't immediately recognize it as AI-generated.
Gemini 3 Pro Image produced a technically clean shot, but the skin looked "smooth," like an Instagram filter at 30%. That's fine for a profile pic or social media. For a print portfolio or magazine cover? There's a noticeable difference. In a blind test, 8 out of 10 photographers called the FLUX shot "more lifelike."
The difference is especially clear with ethnically diverse faces. FLUX maintains individual features better; Gemini tends to average them out to a "stock" look. If you work with diverse models, that's critical.
Text in Image: Gemini Crushes It
This is where Gemini 3 Pro Image undeniably leads. With the prompt «vintage coffee shop sign that says Black Coffee, No Sugar, No Drama
, hand-painted on weathered wood», Gemini delivers readable text 95% of the time. FLUX gives you "Black Coffe" or "No Sugor" in three out of ten cases.
The reason's simple: Gemini's an LLM trained to understand tokens, including letters. FLUX is a diffusion model. It's seen millions of images with text but doesn't 'get' text as a structure. You'll see this with long phrases over 8 words.
If you're doing packaging, posters, banners, or covers with text, Gemini wins, no contest. To get that same capability with FLUX, you'd need to write a prompt explicitly detailing font and style, plus generate 3-4 times more iterations.
Hands and Anatomy: A Tie, Leaning Towards Gemini
Previous-gen AI models had a common issue: six-fingered hands and skewed joints. By 2026, that's pretty much beaten. FLUX 2 Pro gets hands right in 88% of frames, Gemini 3 Pro Image in 92%. There's a difference, but it's not huge.
Gemini's noticeably better with complex poses involving two people, exchanging objects, or handshakes. FLUX sometimes merges the anatomy of two characters into one silhouette. If your scene has more than one person interacting, Gemini's the way to go.
Speed and Cost: Know Your Goal
Generation time in Quantium: Gemini 3 Pro Image delivers a frame in 7–9 seconds, FLUX 2 Pro in 12–15 seconds. For batch work (20-30 prompt iterations back-to-back), that's a 2-3 minute difference. That's a lot when you're on a deadline.
Cost:
- FLUX 2 Pro Standard — 8 credits per image (about 5 ₽ on the Basic plan)
- FLUX 2 Pro Pro-режим — 14 credits (about 9 ₽)
- Gemini 3 Pro Image — 10 credits (about 6 ₽)
Learn more about the modes in Standard vs Pro: When to Pay More. In short: use Standard for prompt refining, Pro for the final shot.
Verdict by Use Case
Main takeaway: don't pick just one model forever. In Quantium, both are available with one subscription; switch with a single command. It makes sense to keep both as tools with different strengths.
How to Test Both in Quantium
Open the bot, select 'Image Generation,' and you'll see both models listed. You can run the same prompt through two models back-to-back; credits are counted separately. That's the fairest way to choose — based on your actual tasks.
Related materials: FLUX 2 Pro prompt guide, Midjourney alternatives, Standard vs Pro modes.
FAQs
Which model is better for photorealistic faces?
FLUX 2 Pro. It handles micro-textures like skin pores, fine hairs, and eye glints way better. Gemini 3 Pro Image gives you more "polished" faces – on close-ups, FLUX wins by 2 out of 10 for realism.
Who's better at rendering text inside images?
Gemini 3 Pro Image. It renders text on packaging, signs, and posters almost flawlessly. FLUX 2 Pro, though, makes typos in 3 out of 10 long phrases.
How many credits does each model cost in Quantium?
FLUX 2 Pro costs 8 credits in Standard and 14 in Pro mode. Gemini 3 Pro Image is 10 credits per image.
Which model is faster?
Gemini 3 Pro Image responds in 7–9 seconds compared to FLUX 2 Pro's 12–15. That difference really adds up for batch work.
Can I use both models with one subscription?
Yep, in Quantium, both models come with one subscription. Credits pull from your overall balance, and you can switch between them with a single command.
Try both models in Quantium
20 credits monthly on the free plan. FLUX 2 Pro and Gemini 3 Pro Image—all with one subscription.
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