Credit System
How are credits calculated on the user side?
At Syntina, credit is the usage unit that lets you manage generation workflows from a single balance. Text to Image, Image to Image and Image to Video modes all use the same logic — but not every model, and not every setting, consumes the same amount. This page covers only the system visible to users; internal cost or infrastructure pricing isn't part of it.
How It's Calculated
Overview and consumption factors
Read mechanics like plan credit, extra credit, and the pre-generation credit display alongside the variables that drive consumption — model choice, output count, video duration, resolution and team usage — in a single table. The credit amount required is always shown in the interface before generation starts.
| Topic | Explanation | What you see |
|---|---|---|
| Monthly plan credit | Your subscription plan defines a set credit volume every month. All generation modes run on this same balance. | You can see your monthly credit volume on the pricing and account pages. |
| Extra credit | You can purchase additional credit on top of your monthly package. This lets you scale up your generation volume without changing plans. | Extra credit packages appear separately on the subscription screen. |
| Pre-generation credit display | The credit amount required is calculated before generation starts, based on the model and settings you chose. | The required credit amount is shown on the Generate button or in the relevant settings panel. |
| Insufficient balance | If your balance isn't enough for the selected generation, it won't start; you'll need to update your plan or credit balance first. | The interface clearly shows the required credit alongside your current balance. |
| Team pool | On Business plans and above, members generate from a shared credit pool. | The shared pool and each member's usage can be tracked separately in the team area. |
| Model choice | All modes | Faster models and premium-quality models don't run at the same credit level. |
| Output count | Text to Image, Image to Image | The more variations you request in a single run, the higher the total credit usage. |
| Video duration | Image to Video | A short test video and an 8-12 second final video don't consume the same amount. |
| Resolution | Image to Video, some image edit workflows | Higher resolution can require more credit. |
| Team usage | Business, Studio, Studio+ | Members' generations are deducted from the shared credit pool; there's no separate per-person wallet. |
Model-Based Consumption
Which model costs how many credits, under which conditions?
The table below shows the starting or common credit values users see per model. When you choose more images at once, a longer video, audio, a higher resolution, or a larger output size, the total credit required increases accordingly.
| Category | Model | Credits | Conditions |
|---|---|---|---|
| Text to Image | GPT Image 2 | 2-40 credits / image | Rises with quality and image size. 2 credits for low quality 1024x1024, up to 40 credits for high quality 1536x1024 or 1024x1536. |
| Text to Image | Nano Banana Pro | 30-60 credits / image | 1K and 2K generation costs 30 credits, 4K generation costs 60 credits. Total scales accordingly when multiple outputs are enabled. |
| Text to Image | FLUX 2 Flex | 12 credits / image | 12 credits by default. A fixed base cost used for typography and controlled-composition generations. |
| Text to Image | WAN 2.6 Text | 6 credits / image | A single output starts at 6 credits for fast text-to-image variation generation. |
| Text to Image | Grok Imagine | 4 credits / image | One of the fixed-price entry-level text-to-image generations. |
| Image to Image | GPT Image 2 Edit | 2-40 credits / image | Rises with quality and output size. 2 credits for low quality 1024x1024, up to 40 credits for high quality at larger sizes. |
| Image to Image | Nano Banana Pro Edit | 30-60 credits / image | 1K and 2K edits cost 30 credits, 4K edits cost 60 credits. Total credit rises as the number of variations increases. |
| Image to Image | Nano Banana 2 Edit | 12-32 credits / image | 12 credits for 0.5K, 16 credits for 1K, 24 credits for 2K, 32 credits for 4K. Multiple outputs are added on top. |
| Image to Image | FLUX 2 Flex Edit | 24-96 credits / generation | Rises with total megapixels. 24 credits for 1 MP total, 48 credits for 2 MP, 96 credits for 4 MP. |
| Image to Image | FLUX 2 Turbo Edit | 5-7 credits / generation | Varies with total megapixels. 5 credits for 1 MP total, 7 credits for 2 MP total. |
| Image to Image | FLUX 2 Edit | 5 credits / generation | Works as a fixed base cost in the general-purpose, balanced edit workflow. |
| Image to Image | WAN 2.6 | 6 credits / image | A single output starts at 6 credits for fast image-to-image variation generation. |
| Image to Image | Qwen Image Edit | 6-24 credits / generation | 6 credits for 1 MP, 12 credits for 2 MP, 24 credits for 4 MP. Usage rises as the input grows. |
| Image to Image | Seedream 4.5 Edit | 8 credits starting | A single output starts at 8 credits for basic use. Total usage rises with the number of images. |
| Image to Image | Seedream v5 Lite Edit | 7 credits starting | A single output starts at 7 credits for basic use. Output count and automatic large-size options can raise the total. |
| Image to Image | Topaz Upscale | 16-272 credits / generation | Varies with output megapixels: 16 credits up to 24 MP, 32 up to 48 MP, 64 up to 96 MP, up to 272 credits up to 512 MP. |
| Image to Image | Magnific Creative | 24-286 credits / generation | Varies with scale and output size. A small 2x upscale costs 24 credits, large 8x-16x scenarios go up to 286 credits. |
| Image to Image | Magnific Precision v2 | 24-286 credits / generation | Varies with scale and output size. Uses the same credit band for detail-preserving, photorealistic upscaling. |
| Image to Image | Longcat Image Edit | 2-40 credits / image | Rises with quality and size similarly to GPT Image edit. 2 credits at low quality/small size, up to 40 credits at high quality/large size. |
| Image to Image | Grok Imagine Edit | 4 credits / image | One of the fixed-price creative edit entry points. |
| Image to Video | Veo 3.1 | 160-640 credits / video | 160 credits for 4s silent, 320 credits for 4s with audio. Goes up to 320 for 8s silent, 640 for 8s with audio. |
| Image to Video | Veo 3.1 First-Last | 80-240 credits / video | In the first-last frame flow: 80 credits for 4s silent, 120 credits for 4s with audio. 160 for 8s silent, 240 for 8s with audio. |
| Image to Video | Veo 3.1 First-Last Pro | 320-1280 credits / video | In the Pro-quality first-last frame flow: 320 credits for 4s silent, up to 1280 credits for 8s with audio. |
| Image to Video | Seedance 1.5 Pro | 21-125 credits / video | Based on fal.ai's public video pricing. 21 credits for 4s silent, 42 credits for 4s with audio. Up to 63 for 12s silent, 125 for 12s with audio. |
| Image to Video | Kling 2.5 Turbo Pro | 70-140 credits / video | 70 credits for 5s, 140 credits for 10s. |
| Image to Video | Kling 2.6 Pro | 70-280 credits / video | 70 credits for 5s silent, 140 credits for 5s with audio. 140 for 10s silent, 280 for 10s with audio. |
| Image to Video | Kling 3.0 Pro | 224-1008 credits / video | 224 credits for 5s silent, 336 credits for 5s with audio. Up to 672 for 15s silent, 1008 for 15s with audio. |
| Image to Video | Kling O1 Standard | 84-168 credits / video | 84 credits for 5s, 168 credits for 10s. |
| Image to Video | Kandinsky 5 Pro | 8-240 credits / video | 8 credits for 1s at 512p, 24 credits for 1s at 1024p. 80 for 10s at 512p, 240 for 10s at 1024p. |
| Image to Video | Sora 2 Pro | 240-720 credits / video | 240 credits for 4s, 480 credits for 8s, 720 credits for 12s. |
Workflows
Credit logic by generation type
The easiest way to read your credit usage is to think of it in terms of workflow. Even within the same model family, needs change as settings change.
| Workflow | Typical use | Biggest driver of consumption |
|---|---|---|
| Text to Image | Generating a brand-new mood, concept, exterior or interior variation from scratch. | Most affected by model choice and output count. |
| Image to Image | Transforming an existing render, sketch, reference or viewport capture. | Most affected by model choice, output count, and in some workflows, resolution. |
| Image to Video | Animating a single frame, adding a presentation camera flow, or generating a first-to-last-frame transition. | Most affected by duration, resolution, and model family. |