Modellix
One API for 220+ AI image, video, audio & 3D generation models — per-call pricing.
Modellix earns a recommendation for teams that need breadth and auditability over raw cost. The unified API, per-call transparency, and ISO certifications are genuine differentiators. Solo devs or high-volume single-model users may save money going direct to providers, and lack of real-time streaming is a real gap. If you need one API to mix models like Nano Banana 2, Seedance, and Veo 3.1, pick Modellix; otherwise, go direct.
Verified 5d ago · liveness 65/100 · cite: rightaichoice.com/tools/modellix
- Developers building multi-model AI applications that need one API for image/video/audio generation
- Content creators and studios wanting to switch between models without changing integration code
- Teams requiring auditable, ISO-certified AI media generation with complete call logs
- Production workflows relying on model routing and per-call cost tracking
- Hobbyists or low-budget projects seeking a free tier or trial credits
- Users needing real-time streaming or extremely low-latency generation
- Single-model users who could get cheaper direct provider access
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Skip Modellix if you need real-time streaming or extremely low-latency generation, want a free tier or trial credits, or plan to use a single model at high volume where direct provider access is cheaper.
You must prepay (deposit) to use the API; there's no free tier or trial credits, so you'll need to commit funds upfront.
Modellix's per-call pricing fits teams that value flexibility and multi-model access without subscriptions. It's more expensive than going direct to a single provider (e.g., OpenAI or Google) for high-volume use, but cheaper than maintaining multiple subscriptions if you need many models. There's no free tier, so it's not for hobbyists; it's best for developers with budget to prepay and scale.
In short
Modellix — One API for 220+ AI image, video, audio & 3D generation models — per-call pricing. Best for Developers building multi-model AI applications that need one API for image/video/audio generation, Content creators and studios wanting to switch between models without changing integration code, Teams requiring auditable, ISO-certified AI media generation with complete call logs. Paid pricing.
What's new in Modellix
Checked 4 days agoAcross the latest 3 updates: 1 launch, 1 pricing change and 1 news mention.
DeepSeek Harness Plugin: Modellix LLM Gateway with $0 Models
dsh-modellix (beta) plugin for DeepSeek Harness enables $0-billed LLMs, 28+ models with one key, maintaining OpenAI/Anthropic compatibility.
Seedream 4.0 Price: Full Pricing Breakdown (2026)
Seedream 4.0 API pricing: BytePlus official rate $0.03/image, with resolution and batch rules, aggregator prices, and cost estimator.
Hailuo AI vs Kling AI: Honest Comparison (2026)
Comparison of Hailuo 02 vs Kling 3.0 on motion, performance, multi-shot, audio, and API pricing, verified August 25, 2026.
What people actually say about Modellix — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
24 mentions across 2 sources (YouTube, Product Hunt) · researched Aug 13, 2026.
- +Unified API reduces multi-provider integration overhead significantly.
- +Transparent per-call pricing with no subscriptions — pay only for what you use.
- +Broad model coverage: 220+ models across images, video, audio, and 3D.
- +Flattened parameters simplify working across different provider schemas.
- +ISO/IEC 27001 and 27701 certifications are strong for enterprise compliance.
- −No independent user reviews or community discussions to validate claims.
- −YouTube coverage is promotional, not genuine third-party evaluation.
- −Per-call pricing could become costly at scale without volume discounts.
- −Lacks real-time streaming, limiting live-use cases.
- −Free credits are gated behind a form, not a straightforward signup.
- • Underlying provider fees are passed through, so actual costs may exceed the listed per-call price
- • Volume discounts require negotiation and may not be automatic
Viability Score
How well maintained and how widely used is Modellix? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- Unified REST API for 220+ AI media models
- Flattened parameters across all providers
- CLI for terminal-based generation
- MCP Agent integration
- Skill integration for automation
- Text-to-image generation (e.g., Nano Banana 2, Seedream 5.0)
- Image editing and image-to-image
- Text-to-video (e.g., Seedance 2.0/2.5, MiniMax H3) with up to 30s clips
- Image-to-video and video-to-video conversion
- Text-to-speech, speech-to-text, and speech-to-speech
- Voice cloning and lip sync
- Digital human and face swap
- Style transfer and image upscaling
- Per-call pricing with no subscriptions, public model rates
- Real-time usage tracking and full call logs
About Modellix
Modellix is a unified AI media generation API that gives developers and creators one endpoint to access over 220 image, video, audio, and 3D models from providers like Google, OpenAI, ByteDance, Alibaba, MiniMax, and xAI. Instead of managing multiple API keys, billing systems, and parameter schemas, you get a single flattened API, one account, and transparent per-call pricing with no subscriptions. The platform covers text-to-image, image editing, text-to-video, image-to-video, video-to-video, speech, voice cloning, plus specialized tools like lip sync, digital human, face swap, and style transfer. Recent model additions include Google's Veo 3.1, Imagen 4.0, Nano Banana 2 (Gemini 3.1 Flash Image), Alibaba's Wan2.7 and HappyHorse, ByteDance's Seedream 5.0 and Seedance 2.0/2.5, and Kuaishou's Kling V3. PixVerse V6 dropped recently with 15s 1080p video plus native audio. Pricing is straightforward: images are charged per image (USD/img), video per second (USD/sec), and audio per million characters (USD/M chars). Each model has a public rate — for example, Nano Banana 2 from $0.0403/img, Seedance 2.0 T2V from $0.0805/sec, GPT Image 2 from $0.0041/img — so you can budget precisely. The billing dashboard offers real-time usage tracking, full call logs for debugging, and optional volume discounts. Backed by Aurora Mobile (NASDAQ: JG), Modellix holds ISO/IEC 27001 and 27701 certifications (DNV-certified), making it a fit for enterprise workflows. You can integrate via REST API, CLI, MCP Agent, or Skill. Compared to juggling individual provider subscriptions, Modellix simplifies multi-model workflows and centralizes billing, though it's not the cheapest route for high-volume single-model users or those needing real-time streaming.
Behind the Verdict
When you're building a product that needs to switch between AI models quickly — say, comparing Veo 3.1 against Kling V3 for a video feature — Modellix saves you from a mess of SDKs and invoices. The unified API and flattened parameters mean you integrate once, then route to any of 220+ models. That's a real time-saver for small teams without a dedicated ML engineer. Where it bites: cost. If you're generating thousands of images with a single model, buying direct from the provider will almost always be cheaper. Modellix's per-call pricing adds a markup for the convenience. High-volume users should run the math on their top model before committing. Also watch out: there's no free tier and no real-time streaming. If you need low-latency, persistent connections for voice or video chat, this isn't the tool. And those who prefer clicking through a GUI to writing curl commands will find the API-only approach limiting. Compared to alternatives like Replicate or Fal.ai, Modellix's edge is the ISO 27001/27701 certification and the backing of a NASDAQ-listed parent. That matters if you're selling to enterprises that demand auditable security. Replicate might have a bigger community of models, but Modellix feels more enterprise-minded. In practice, we'd reach for Modellix when we need a Swiss-army knife for AI media — one key, one bill, and the freedom to experiment across vendors. It's less ideal for teams that already have deep integration with a single provider and don't need the breadth. The PixVerse V6 launch with native audio is a good example of how the platform stays current: you get new models fast, without touching your code.
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Real-world workflow fit
Concrete scenarios for the personas Modellix actually fits — and what changes day-one when you adopt it.
You want to add AI-powered image editing (object removal, style transfer) without managing multiple APIs. You sign up, deposit $10, and call Modellix's REST API to route between Nano Banana 2 for stylized edits and GPT Image 2 for photorealistic ones.
Outcome: Within an afternoon, you have a working prototype that switches models via parameter changes, with full logs to debug and track costs per call.
You need to generate product images and short video ads at scale. Using the CLI, you batch-generate 100 product shots via Seedream 5.0 Lite and create 15-second clips with PixVerse V6 (15s 1080p with audio).
Outcome: You produce a week's worth of social media content in hours, with clear per-second billing and no subscription lock-in.
You need to restyle video footage using different aesthetic models. You use Modellix's video-to-video API (e.g., Hailuo 2.3 I2V) to convert raw clips into stylized scenes, and voice cloning for narration.
Outcome: You deliver a finished short with consistent visual style and cloned voiceover, paying only for the seconds generated, with volume discounts as you scale.
Use Cases
- Generate product images for e-commerce using multiple models via a single API
- Create short marketing videos with text-to-video and image-to-video models
- Build a mobile app that lets users edit photos using various AI models
- Automate social media content creation by integrating video and image generation
- Develop a platform for generating AI art with model switching based on style
- Implement a video-to-video restyling pipeline for creative projects
Models Under the Hood
as of 2026-09-01
Limitations
- Pricing varies by model and parameters; for example, some video models cost more for 1080p compared to 720p.
- Nano Banana 2 is not suited for strict photorealism; prefer Nano Banana Pro.
- GPT Image 2 lacks transparent background support.
- Some models, like Seedance 2.0 T2V, require text-only input.
as of 2026-08-19
Verification history
We have re-verified Modellix 7 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
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Free to cite with attribution — this page re-verifies continuously.
Where the pricing makes sense
The company stage and team size where Modellix's pricing actually pencils out — and where peers do it cheaper.
Modellix's per-call pricing fits teams that value flexibility and multi-model access without subscriptions. It's more expensive than going direct to a single provider (e.g., OpenAI or Google) for high-volume use, but cheaper than maintaining multiple subscriptions if you need many models. There's no free tier, so it's not for hobbyists; it's best for developers with budget to prepay and scale.
Setup time & first value
How long it actually takes to get something useful out of Modellix — broken out by persona, not the marketing-page minute.
Most developers can get their first API call working in under an hour: sign up, deposit funds, get an API key, and call the endpoint. For advanced workflows like video-to-video or MCP integration, plan a few hours to test parameters and handle asynchronous results.
Switching to or from Modellix
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From individual provider APIs: Replace multiple API keys and billing systems with a single Modellix key, and use the flattened parameter schema to unify requests.
- ↗To direct provider APIs: If you only need one model, you can switch to the provider's own API for lower per-call costs; you'll need to rewrite integration code to match the provider's native parameters.
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with Modellix
Common stack mates teams adopt alongside Modellix, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Modellix vs Spider Cloud
If your work centers on feeding web data into AI agents or RAG pipelines, Spider Cloud's low-cost crawling and AI extraction are a no-brainer. If you need to generate images, video, or audio via a single API, Modellix's 140+ models and transparent per-call pricing win. There's little overlap: choose based on whether your input or output is the web.
Modellix vs Temporal Ai
Choose Temporal AI if you need to orchestrate reliable, long-running AI agents or workflows that survive failures — it's unmatched for durable execution. Choose Modellix if you want a single API to access 140+ image, video, and audio models with transparent per-call pricing. They solve entirely different problems; your decision depends on whether you need workflow durability or multimodal generation.
Modellix vs Voyage Ai
Choose Voyage AI if you need high-accuracy, domain-specific text embeddings and rerankers for enterprise RAG, despite opaque pricing. Choose Modellix if you want a transparent, per-call API for generating images, videos, and audio from 140+ models without subscription commitments. They serve completely different use cases; your decision hinges on whether your AI workload is text retrieval or media generation.
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