GPT-IMG vs Linum
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
GPT-IMG compared with Linum
| Detail | 
GPT-IMG | 
Linum |
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| What it does | Multi-model AI image generator for text-to-image and photo editing
| Generative video models for animation
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| Stage | Not given
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| Founded | Not given
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| Based in | US
| US
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| Pricing model | Freemium
| Not given
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| Pricing | Not given
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| Key features | - Multiple AI models in one interface (GPT Image 2.5, Nano Banana 2.1 and Pro, FLUX 2, Seedream 5.0 Pro, and others)
- Text-to-image generation
- Reference-based photo editing
- Generation history with recoverable prompts and settings
- Credit-based pricing system
- Up to 4K resolution output
- Seven aspect ratios and three resolution options (1K, 2K, 4K)
- Quality tiers (Standard, Medium, High) on select models
- Browser-based, no installation required
- Mobile responsive design
| - Pyramid-JiT (P-JiT) architecture with 32×32 token reduction
- 4× more aggressive token reduction than Linum v2
- Converges in 11× fewer samples than Linum v2
- 2B-parameter model with frozen Qwen text encoder
- Pixel-space diffusion with multi-resolution readouts
- PixelREPA alignment with DINOv3-L
- Curriculum learning over noise schedule
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| What makes it different | - Single credit balance across all major AI image models instead of separate accounts
- Switch between models mid-project without rewriting prompts
- Transparent per-image pricing before generation
- Commercial license on paid plans
- Automatic refunds for failed generations
| - Low-cost training: full 2B model trained for just $21K in compute
- Controls baked into model training rather than post-hoc fine-tuning
- Pixel-space compression without separate VAE bottleneck
- Apache 2.0 open release with full model weights and code
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 30 ▲ +1 (up) since last check | 44 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 6 | 5 |
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| Citation Flow (Majestic) | 29 | 32 |
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| Referring domains (Majestic) | 72 | 397 |
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4 details filled in for both companies.
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