11 Jun 2026

You searched for Freepik API pricing because the pricing page reads like a translated spec sheet — credits, EUR balances, rate limits — and doesn’t answer the real question: what does one image actually cost, and is it cheaper than fal.ai or Replicate for what you’re building?
This post answers that.
You’ll get:
For the official numbers, always check theFreepik API pricing page and theFreepik API documentation before shipping to production.
The Freepik API is a single REST endpoint surface that exposes Freepik’s full content and AI catalog.
That includes:
Most AI endpoints are asynchronous. You POST a generation request, get back a task ID, then poll a status endpoint until the image is ready.
Stock endpoints are synchronous and return immediately.
Per the official Freepik API authentication documentation, authentication is a single x-freepik-api-key header on every request.
The product is structured under the Magnific brand for the API surface and Freepik for the consumer side. Same company, same balance, same docs. If you read “Magnific API” in a billing email and “Freepik API” in the code samples, you’re looking at the same product.
For the consumer-side context — features, presets, upscaling — see our full Freepik AI review.
The structure is straightforward:
Pricing is denominated in EUR.
| Tier | Cost | What You Get | Best For |
|---|---|---|---|
| Free Trial | €0 | Up to €5 of free API requests | Evaluation, prototyping |
| Pay-As-You-Go | From €10 | Credits drawn down per request, no commitment | Solo devs, low-volume apps |
| Volume Packs | €100 / €500 | Bulk credits at progressive discounts | Scaling products |
| Enterprise | €500+/mo | Custom rate limits, volume discounts, SLA, dedicated support | Production apps, high QPS |
You can compare this with the official Freepik API pricing page, especially if you are planning production usage.
Two important nuances from the Freepik plans documentation:
That second point is the surprise.
If you’re building a product that surfaces stock photography and only occasionally generates AI assets, your effective cost can be very close to zero on a small Pay-as-you-go pack.
This is what the marketing page doesn’t tell you.
Credit cost varies dramatically by model. Confirm against theMagnific image models page before you ship to production — pricing changes when new models drop.
| Model | Credits Per Image 1024×1024 | Approx. EUR Cost |
|---|---|---|
| Flux Dev | ~5–10 | €0.01–€0.02 |
| Flux 2 Turbo | ~15–25 | €0.03–€0.05 |
| Flux Pro v1.1 | ~30–50 | €0.06–€0.10 |
| Flux 2 Pro | ~50–80 | €0.10–€0.16 |
| Mystic Freepik Native | ~40–80 | €0.08–€0.16 |
| Gemini 3 Pro Image Nano Banana Pro | ~80–150 | €0.16–€0.30 |
| HyperFlux | ~25–40 | €0.05–€0.08 |
For context: a typical product flow that generates one Mystic image per user action costs about €0.10 per generation.
A €100 credit pack covers roughly 1,000 of those.
If you are specifically comparing Nano Banana Pro costs, also read our complete guide to Nano Banana before choosing a platform.
The free tier is €5 of free API requests.
That’s it.
No card required to start, no auto-conversion.
The €5 covers:
It’s enough to test the auth flow, hit two or three endpoints, and benchmark output quality.
It is not enough to soft-launch a product on.
Treat it as evaluation budget.
The full current AI endpoint list is organised by job.
All generative endpoints return a task_id. You then poll:
GET /v1/ai/{task_id}
until status flips to:
COMPLETED
and the response includes a signed URL.
Signed URLs expire in 24 hours, so download and persist what you need.
You can find the full reference in the officialFreepik API docs.
| Endpoint | Description |
|---|---|
| POST /v1/ai/image-edit | Inpaint, expand, restyle |
| POST /v1/ai/remove-background | Background removal |
| POST /v1/ai/upscale | 2×, 4×, 8× upscaling |
If your main use case is precise image editing, you may also want to compare it with our Qwen Image Edit review.
| Endpoint | Description |
|---|---|
| POST /v1/ai/text-to-video | Multiple model selectors including Veo and Kling |
| POST /v1/ai/image-to-video | Convert a reference image to video |
For video workflows specifically, you may also want to compare Freepik with the multi-model approach covered in our Pollo AI review.
| Endpoint | Description |
|---|---|
| GET /v1/resources | Search stock images, vectors, icons |
| GET /v1/resources/{id}/download | Download an asset, free and capped at 100 per day on non-Enterprise |
This is one of the strongest reasons to consider Freepik if your product needs both stock assets and AI generation.
| Endpoint | Description |
|---|---|
| POST /v1/ai/text-to-speech | Generate speech from text |
| POST /v1/ai/sound-effects | Generate sound effects from a text description |
Here’s the smallest possible Node.js example that hits the Mystic endpoint, polls for completion, and saves the result.
Drop your API key in the environment variable and run it.
The full Mystic POST contract is documented in the official Freepik API reference.
1import fetch from 'node-fetch';
2import fs from 'fs';
3
4const API_KEY = process.env.FREEPIK_API_KEY;
5const BASE = 'https://api.freepik.com/v1';
6
7async function generate(prompt) {
8 const res = await fetch(`${BASE}/ai/mystic`, {
9 method: 'POST',
10 headers: {
11 'x-freepik-api-key': API_KEY,
12 'Content-Type': 'application/json'
13 },
14 body: JSON.stringify({
15 prompt,
16 resolution: '2k',
17 aspect_ratio: 'square_1_1',
18 realism: true
19 })
20 });
21
22 const { data } = await res.json();
23 return data.task_id;
24}
25
26async function pollUntilDone(taskId) {
27 while (true) {
28 await new Promise(r => setTimeout(r, 2000));
29
30 const res = await fetch(`${BASE}/ai/mystic/${taskId}`, {
31 headers: {
32 'x-freepik-api-key': API_KEY
33 }
34 });
35
36 const { data } = await res.json();
37
38 if (data.status === 'COMPLETED') return data.generated[0];
39 if (data.status === 'FAILED') throw new Error('Generation failed');
40 }
41}
42
43async function main() {
44 const taskId = await generate(
45 'A backlit ceramic teapot on a linen tablecloth, soft morning light, editorial product photography'
46 );
47
48 const imageUrl = await pollUntilDone(taskId);
49
50 const img = await fetch(imageUrl);
51 const buf = await img.arrayBuffer();
52
53 fs.writeFileSync('output.png', Buffer.from(buf));
54
55 console.log('Saved output.png');
56}
57
58main();Python users can swap in:
requests
and:
time.sleep
for an equivalent flow.
The task_id polling pattern is the same on every async endpoint.
Three product patterns where the Freepik API is the obviously correct pick.
If your app shows both stock photography and generated images — moodboard tools, marketing platforms, design SaaS — Freepik’s unified catalog means one integration covers both.
Competitors require you to wire up Unsplash plus a separate generation API.
That makes Freepik especially attractive for:
Freepik exposes Flux, Mystic, and Gemini 3 Pro Image Nano Banana Pro under one auth and one balance.
Building that yourself across Black Forest Labs, Google, and Stability is three sets of contracts and three billing portals.
For background on the Nano Banana model, read our complete guide to Nano Banana.
The free-on-non-Enterprise stock downloads, capped at 100 per day, is unusual.
If your daily download volume sits below that cap, you’re effectively running stock for free and paying only for AI generations.
That can work especially well for:
Freepik is convenient, but it is not the best choice for every use case.
If you’re prototyping with cutting-edge research models — open-source releases, niche fine-tunes, community models — Replicate and fal.ai both ship faster and cover more models.
Freepik curates.
Competitors expose everything.
Freepik’s docs are good, but its SDK ecosystem is thinner than fal.ai’s.
If you want a typed TypeScript client with autocomplete on every parameter, fal.ai’s developer experience is ahead.
For a million Flux Dev calls a month with no other features, going direct to a GPU provider with your own Flux Dev container is cheaper than any API.
Freepik’s pricing is competitive, but not the absolute floor.
For video workflows specifically, a multi-model aggregator like the one covered in our Pollo AI review can be a closer fit when you want Kling, Veo, and Runway in one endpoint.
If you need surgical text editing inside images, our Qwen Image Edit review covers the model that beats both Mystic and Nano Banana on that one task.
For developers who want Nano Banana through another aggregator surface, our Nano Banana on OpenRouter walkthrough is a useful alternative path.
Default rate limits on Pay-as-you-go plans sit around 5–10 requests per second across generation endpoints, with higher limits on stock endpoints.
For anything above €500/month in usage, Enterprise gives you:
The official Freepik API pricing page routes higher-volume usage to sales.
If you’re hitting the public rate limit consistently, you’re probably ready for Enterprise.
The math usually favours moving up once your monthly bill clears €500.
One of the bigger pricing complaints in mid-2026 has been the cost of running Gemini 3 Pro Image Nano Banana Pro through Freepik versus alternatives.
Per-image cost lands in the €0.16–€0.30 range depending on resolution and reference inputs, which is at the high end of the catalog.
If you’re building a product that depends specifically on Nano Banana Pro at high volume, benchmark Freepik against going direct to Google.
Our Nano Banana API in AI Studio and Vertex AI walkthrough covers the direct path, and for some workloads it’s meaningfully cheaper at scale.
For everything else in the Flux and Mystic families, Freepik’s pricing is competitive and usually wins on convenience.
If you want one API key, one bill, and access to the current generation of image and video models — including Nano Banana Pro — Freepik’s API is the simplest path in the category.
Start with the €5 free trial.
Benchmark Mystic and Flux 2 Turbo against your use case.
Only commit to a credit pack once you’ve measured per-image cost on your actual prompts.
The pricing is fair, the docs are usable, and the unified stock + AI catalog is genuinely differentiated.
For most product builders shipping AI-image features in 2026, that’s enough.