Replicate vs deAPI: Price Comparison for AI Inference (2026)
You're building an app that generates images, transcribes audio, or synthesizes speech. Two API platforms keep showing up in your research: Replicate and deAPI. They run many of the same open-source models and charge per use.
This article compares actual costs across four common tasks. Every price comes from the official pricing page or API response.
How each platform bills you
The billing model is the first difference, and it affects everything downstream.
Replicate uses two pricing systems. "Official models" (Flux, Whisper, Claude) have fixed per-unit prices - $0.003 per image, $0.09 per second of video. Community models bill by GPU time instead: you pick a hardware tier (T4 at $0.000225/sec through H100 at $0.001525/sec), and you pay for however long inference takes. That run time varies with input size, model load, and cold starts. (See Replicate's pricing page for current hardware rates.)
deAPI bills by task output. An image costs $0.00136, an hour of transcription costs $0.021, a million characters of speech cost $0.77 - regardless of what GPU runs it behind the scenes. The /price endpoint calculates exact cost before you submit a job.
This distinction matters most at scale. With time-based billing, the same request can cost different amounts depending on queue depth and cold start behavior. With task-based billing, the cost is deterministic.
Image generation: Flux Schnell
Both platforms run Flux Schnell, the fast 12B image model from Black Forest Labs.
| Replicate | deAPI | |
|---|---|---|
| Price | $0.003/image | $0.00136/image (512x512, 4 steps) |
| Billing model | Per image (Official Model) | Per image (resolution x steps) |
| Max resolution | Model default | 2048x2048 |
| LoRA support | Community models | Yes (7 LoRAs available) |
Cost for 1,000 images: Replicate $3.00 vs deAPI $1.36.
deAPI's pricing scales with resolution and step count, so a 1024x1024 image costs more than a 512x512 (about $0.0027 vs $0.00136). Replicate charges a flat $0.003 regardless of dimensions. For lower resolutions - which cover most prototyping and thumbnail workflows - deAPI is roughly 2x cheaper. At higher resolutions, the gap narrows.
deAPI also runs Flux.2 Klein 4B and Z-Image-Turbo INT8 as alternatives. Replicate has Flux Dev ($0.025/image) and Flux 1.1 Pro ($0.04/image) for higher quality output.
Transcription: Whisper Large V3
Both platforms offer Whisper Large V3 for speech-to-text.
| Replicate | deAPI | |
|---|---|---|
| Price | ~$0.0014/run (T4 GPU, ~7s avg) | $0.021/hour of audio |
| Billing model | GPU time (T4: $0.000225/sec) | Per hour of audio duration |
| Direct URL transcription | No (file upload only) | Yes (YouTube, Twitch, Kick, X, TikTok) |
| Max file size | 50MB | 50MB (URL: no limit) |
The pricing comparison here depends entirely on how you use it.
Short clips (under 1 minute): Replicate's time-based billing works out to roughly $0.001-0.002 per clip because inference is fast. deAPI charges by audio duration, so a 30-second clip costs about $0.000175. deAPI wins on short content.
Long-form audio (1 hour podcast): On Replicate, you'd need to chunk the file and run multiple predictions. Each chunk takes 5-15 seconds of GPU time on a T4 ($0.000225/sec), plus cold start overhead. Total cost varies, but expect $0.15-0.50 depending on chunking strategy. deAPI charges a flat $0.021 for the same hour.
The URL feature is the real differentiator. deAPI transcribes directly from YouTube, Twitch, Kick, TikTok, and X URLs - including X Spaces. Paste a link, get text. On Replicate, you download the file first, then upload it - which means writing download logic, managing temporary storage, and handling cleanup.
For reference, OpenAI's Whisper API charges $0.36/hour. deAPI runs the same model at $0.021/hour - roughly 17x cheaper.
Text-to-speech: Kokoro
Both platforms run Kokoro, the lightweight 82M parameter TTS model.
| Replicate | deAPI | |
|---|---|---|
| Price | ~$0.0018/run (T4, ~9s avg) | $0.77/million characters |
| Billing model | GPU time | Per character |
| Voices | 20+ (American, British English) | 54+ voices, 8 languages |
| Voice cloning | No (Kokoro only) | Yes (via Qwen3 TTS) |
| Voice design | No | Yes (via Qwen3 TTS) |
| OpenAI SDK compatible | No | Yes |
Cost for 10,000 characters (~8 minutes of speech): Replicate runs it in one prediction - roughly $0.0018. deAPI charges $0.0077.
On raw Kokoro pricing, Replicate is cheaper for single short runs. The T4's low hourly rate ($0.81/hr) makes lightweight models like Kokoro very affordable there.
But deAPI's TTS story extends beyond Kokoro. The same endpoint gives you Qwen3 TTS with voice cloning (upload a 5-15 second reference clip and generate speech in that voice) and voice design (describe a voice in text, generate speech with it). Replicate has separate community models for these features, each with different APIs and billing.
deAPI's OpenAI SDK compatibility also means migrating from OpenAI TTS ($15/million characters) takes two changed lines of code. Your existing response parsing stays intact.
Video generation
Video pricing is where the platforms diverge most.
| Replicate | deAPI | |
|---|---|---|
| Model | Wan 2.1 I2V (WaveSpeed) | LTX-Video 13B / LTX-2.3 22B |
| Budget tier | $0.45 (Wan 2.1, 480p, 5s @ $0.09/sec) | ~$0.0088 (LTX-Video 13B, 768x768, 4s max) |
| Quality tier | $1.25 (Wan 2.1, 720p, 5s @ $0.25/sec) | ~$0.047 (LTX-2.3 22B, 768x768, 5s) |
| Clip length | Flexible | LTX-13B capped at 4s (120 frames @ 30fps); LTX-2.3 up to 10s |
| Audio sync | Model-dependent | Yes (LTX-2.3) |
| Image-to-video | Yes | Yes |
| Text-to-video | Yes | Yes |
The models are different (Wan vs LTX), so this isn't a pure apples-to-apples comparison - and the resolutions don't line up exactly either (768x768 sits between 480p and 720p). Read it as a comparison of tiers: a budget model versus a quality model on each side. Replicate has a wider selection of video models, including proprietary options like Runway Gen-4.5 and Google Veo 3.1. deAPI focuses on open-source models at lower price points.
For developers who need basic text-to-video or image-to-video functionality, the cost difference is dramatic. A 5-second clip on Replicate (Wan 2.1, 480p) costs $0.45. A comparable clip on deAPI (LTX-Video 13B at 768x768, its 4-second maximum) costs roughly $0.0088 - about 50x cheaper. Drop to 512x512 and it falls to ~$0.0056. Note that LTX-Video 13B runs at a fixed 30fps and tops out at 120 frames, so 4 seconds is its ceiling per clip; for longer or audio-synced clips you step up to LTX-2.3 22B (~$0.047 for 5s at 768x768).
Replicate also offers the Wan open-source models as community deployments at lower prices, but they bill by GPU time - so cost varies with inference duration and hardware choice.
What Replicate does that deAPI doesn't
LLMs. Replicate runs Claude, DeepSeek, Llama, and other language models. deAPI doesn't serve LLMs at all - it focuses on media generation, transcription, and embeddings. If you need chat completions alongside image generation, Replicate (or a multi-provider setup) is your path.
Custom model deployment. Replicate lets you package and deploy your own models using Cog. You get a dedicated endpoint, auto-scaling, and full control over the model code. deAPI runs a fixed catalog of models.
Broader model catalog. Replicate hosts thousands of community-contributed models. If you need a niche model - a specific ControlNet variant, a fine-tuned Stable Diffusion checkpoint, a custom video model - Replicate likely has it.
Proprietary video models. Runway Gen-4.5, Google Veo 3.1, Kling 3.0 - these are only available on platforms like Replicate.
What deAPI does that Replicate doesn't
Direct URL transcription. Paste a YouTube, Twitch, TikTok, or X link. Get text back. This eliminates the download-upload-cleanup pipeline that every other transcription API requires.
The /price endpoint is worth mentioning separately. It calculates exact cost before you submit, so your billing is deterministic - no variance from GPU warm-up time or queue depth.
OpenAI SDK compatibility lets you point your existing OpenAI code at deAPI by changing base_url and api_key. Images, TTS, transcription, embeddings, and video generation all follow the standard OpenAI response format.
On the audio side, deAPI bundles voice cloning (upload a 5-second reference clip) and voice design (describe a voice in text) into the same TTS endpoint. Replicate requires separate community models for each.
ACE-Step 1.5 handles music generation with lyrics, tempo, key, and style control. Replicate has community music models, but they're scattered across different maintainers with varying APIs.
The cost summary
Prices for 1,000 units of each task:
| Task | Replicate | deAPI | Difference |
|---|---|---|---|
| Image (Flux Schnell, 512x512) | $3.00 | $1.36 | deAPI 2.2x cheaper |
| Transcription (1hr audio) | ~$0.15-0.50 | $0.021 | deAPI 7-24x cheaper |
| TTS (10K chars, Kokoro) | ~$0.0018 | $0.0077 | Replicate 4x cheaper |
| Video (budget tier, ~5s) | $0.45 | ~$0.0088 | deAPI ~50x cheaper |
TTS is the one category where Replicate's time-based billing on cheap hardware (T4) undercuts deAPI's per-character pricing. For everything else, deAPI's decentralized GPU network produces significantly lower costs.
When to use which
Replicate makes sense if your stack needs LLMs alongside media models, or if you want to deploy custom models through Cog.
deAPI fits better when cost drives the decision, when you're transcribing from URLs, or when your app is purely media generation without LLM chat.
The two aren't mutually exclusive. OpenAI SDK compatibility means you can run a Replicate client for GPT/Claude and a deAPI client for images, audio, and video - same SDK, different base_url.
Try it
- Replicate: replicate.com - pay-as-you-go, no minimum
- deAPI: app.deapi.ai - $5 free credits on signup, no credit card
Prices verified as of June 2026. Both platforms update pricing regularly - check their docs for current rates.
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