Pricing

Example pricing is shown below for reference; exact, up-to-date rates are always available from the API.

deAPI uses a pay-as-you-go pricing model, where costs are calculated dynamically per task based on the resource usage, such as resolution, steps, duration, or number of output characters. The pricing examples shown on the public site (https://deapi.ai/#pricing) serve as reference points; final cost is determined by the API at runtime depending on the selected model and parameters.

Pricing Overview

Task Type
Pricing Metric
Example Rate
Notes

Text-to-Image

resolution × steps

$0.00088 for 512x512, 4 steps

Uses Flux Schnell as baseline in sample calculator

Text-to-Speech (TTS)

number of characters

$0.54 per 1 M characters

Adjustable speed multipliers (fast = 0.5× cost, slow = 2× cost)

Text-to-Video

video duration + resolution

$0.001216 for 2s, 256×256

2–5 second clips; higher res or steps increase cost

Image-to-Video

source image + motion interpolation

$0.001216 for 2s, 256×256

2–5 second output, smooth motion

Video-to-Text (YouTube Transcription)

video length

$0.015 per hour

Supports timestamps, multilingual

Image-to-Text (OCR)

output characters

$0.00875 per 1,000 output chars (for 1024×1024 images)

Also includes object detection, scene understanding

Text-to-Embedding

number of tokens processed

$0.000093 per 1,000 tokens

Supports large-scale semantic search and RAG; cost scales linearly with token count


Pricing by Task

Text-to-Image (Image Generation)

  • Users define width, height, steps via the API or UI.

  • Public example: Flux Schnell model is used to estimate cost in the UI; for example, 512x512 at 4 steps gives $0.00088.

  • Higher resolutions and more steps yield better quality but incur higher cost.

  • Important: For models other than Flux Schnell, pricing is model-specific and calculated on the server side.

Text-to-Speech (TTS / Speech Generation)

  • Charged per character in your input (e.g. 1M characters → $0.54).

  • Playback speed modifiers:

    • Standard (1.0×): base cost

    • Fast (2.0×): 0.5× the base cost

    • Slow (0.5×): 2.0× the base cost

  • Useful tip: using faster playback (2×) for drafts can reduce cost by ~50%.

Text-to-Video

  • Price depends on clip duration (2–5 seconds) and resolution.

  • Example public rate: $0.001216 for a 2-second clip at 256x256.

  • You can scale resolution or duration, but cost increases accordingly.

Image-to-Video

  • Transform a static image into a motion clip (2–5 seconds) with interpolation.

  • Example: 256x256 for 2 seconds costs $0.001216.

  • Use lower resolution or shorter duration to reduce cost.

  • Use motion parameters in prompts to guide movement.

Video-to-Text (Transcription)

  • Billed per hour of video processed.

  • Sample public rate: $0.015 per hour.

  • For 5 minutes, cost is estimated at $0.001250.

  • Supports timestamps, multilingual transcription, and batching for better throughput.

Image-to-Text (OCR / VLM)

  • Charged based on number of characters recognized in output.

  • Baseline rate: $0.00875 per 1,000 output characters (for 1024×1024 images).

  • Example outputs:

    • Single photo (≈20 chars) → $0.000175

    • Math expression (~350 chars) → $0.003

    • Book page (~1,500 chars) → $0.0132

  • Volume discounts available for bulk processing (100k+ images)—contact sales.

Text-to-Embedding (Vector Representations)

  • Pricing is based on the number of tokens processed.

  • Sample public rate: $0.000093 per 1,000 tokens (client-side pricing).

  • Embeddings are typically used for semantic search, retrieval-augmented generation (RAG), clustering, and similarity matching.

  • Costs scale linearly with token count, making it efficient even at large volumes.

  • Important: Different embedding models may have varying dimensionality (e.g. 768 vs. 1024), but pricing is standardized per token for simplicity.


Best Practices & Guidance

  • Use the public calculator as a guide, but always rely on the API’s final cost calculation (model + parameters).

  • Avoid hardcoding prices or cost assumptions—always fetch or compute cost based on actual model usage.

  • For reproducibility (e.g. in production or experiments), pin model versions and seeds so results are consistent across runs.

  • Prepare fallback options in your integration: if a model is deprecated or disabled, switch to a sensible alternative automatically.

  • Monitor usage and budget: higher resolution, longer clips, or more steps increase costs proportionally.


Link to live pricing page for reference: https://deapi.ai/#pricing

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