GPT-Image 1.5 vs Reve
Eye-catching and expressive thumbnail imagery — see how these models compare with real AI-generated outputs.
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YouTube thumbnails need to communicate the story in a split second: a clear focal point, expressive emotion, high contrast, and readable on-screen text. On Influencer Studio, GPT-Image 1.5 and Reve both generate eye-catching thumbnail imagery, but they excel in different parts of the workflow.
Below is a practical comparison focused on thumbnail outcomes—how well each model follows thumbnail-specific prompts, handles detailed scenes and characters, renders text overlays, and how credit pricing impacts iteration when you’re testing multiple concepts.
YouTube Thumbnail — Side-by-Side Results
Prompt
"Close-up phone-camera selfie of a 20s influencer with shoulder-length dark hair in a messy bun, wearing a bright oversized hoodie and minimal makeup, eyes wide and mouth open in an excited “WAIT WHAT?!” expression while holding an iced coffee up to the lens. Shot in a busy, colorful café with menu boards and people blurred behind, dynamic tilted framing and high-contrast natural window light hitting one side of the face like a real TikTok/YouTube thumbnail moment. Bold saturated colors, candid hand slightly shaking the cup, looking directly at the camera like an Instagram story screenshot."
Feature Comparison
| Feature | GPT-Image 1.5 | Reve |
|---|---|---|
| Provider | OpenAI | Reve |
| Subcategories | text-to-image | text-to-image |
| 1080p / 2k Mode | Yes | Yes |
| 4k Mode | No | No |
| NSFW Rating | Strict | Medium |
| Aspect Ratio | 1:1, 16:9, 9:16, 3:4, 4:3 | 1:1, 16:9, 9:16, 3:4, 4:3 |
| Starting Price | 8 credits | 8 credits |
GPT-Image 1.5 Strengths
- Strong prompt adherence for thumbnail-specific direction (composition, camera angle, emotion, props, and background control)
- High-fidelity detail for close-up faces, product shots, and “story-in-one-frame” scenes
- Versatile output across styles (clean studio looks, cinematic frames, bold graphic compositions)
- Flexible quality tiers (8/16/32 credits) that support rapid concepting or premium final passes
- Reliable consistency when iterating on the same concept (e.g., changing expression or background while keeping the main subject)
Reve Strengths
- Strong aesthetic quality that helps thumbnails feel polished and “designed,” especially for creative or lifestyle niches
- Accurate text rendering for in-image typography (useful when you want the model to generate readable words as part of the design)
- Great for bold, expressive looks that lean into stylization and visual punch
- Simple pricing at 8 credits per image—predictable cost for fast iteration
- Good fit for thumbnail concepts where typography and visual mood are the primary drivers
Verdict
If your thumbnail success depends on strict prompt control—specific scene details, character positioning, or product accuracy—GPT-Image 1.5 is the stronger all-around choice, with the added benefit of choosing lower-cost drafts or higher-cost final renders.
If your workflow relies on generating thumbnails with readable built-in text and a consistently “art-directed” aesthetic, Reve is a strong pick—especially when you want predictable per-image pricing and typography-forward concepts.
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