fal vs Hy4 preview: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of fal and Hy4 preview — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

fal

fal.ai

Freemium

Unified generative media API to integrate 200+ image, 3D, and video models with faster, cost-effective inference and a free developer tier.

Unified API Interface: A single API endpoint (and developer tooling) to access dozens of generative media models, simplifying integration across image, 3D, and video workflows.
Large Model Catalog: Access to 200+ pre-integrated generative models, including named models such as FLUX, King, and Hailuo, enabling easy model selection and switching without reimplementation.
Performance Optimization (4x Faster): Inference and runtime optimizations claimed to run image, 3D, and video models up to four times faster to reduce latency and cost for production workloads.
Cost-Effective Developer Access: A free API tier for developers to experiment and prototype generative media features without immediate infrastructure expenditure.
Cross-Modality Media Support: Native support for multiple media modalities (images, 3D assets, and video), allowing pipelines that combine different generation types.
Developer Tooling & Documentation: API documentation, examples and integration guidance to help teams onboard quickly and embed generative features into applications.
Public developer API providing access to dozens (200+) of generative media models
Optimized execution for media models (advertised up to 4x faster runtime)
Support for image, 3D and video model workflows
Model discovery/catalog of third-party and in-house models (e.g., FLUX, King, Hailuo)
Cost-effective plan structure with a free API tier for developers
Developer-oriented integration and orchestration of multiple generative models

On-demand image generation for web or mobile apps: generate avatars, illustrations, thumbnails, or user-generated content with minimal integration effort.
3D asset creation for games and AR/VR: produce or iterate 3D models and assets using the platform's 3D-capable generative models to speed content pipelines.
Automated short video generation and editing: create promotional clips, synthetic video content, or visual effects through video-capable models in the catalog.
Model comparison and selection: experiment across FLUX, King, Hailuo and many others to A/B outputs and pick models that balance quality, latency, and cost.
Rapid prototyping of generative media features: use the free API tier to validate product concepts and integrate media generation into MVPs without large upfront costs.
Automated image generation for content creation and marketing
3D asset generation for games, AR/VR and product visualization
Video synthesis and automated video content pipelines
Rapid prototyping of generative media features within apps
Aggregating and switching between multiple generative models for A/B or multi-model pipelines

Tencent

Free

Tencent's open-weight Hy4 preview, a 770B-parameter Mixture-of-Experts model with 49B active parameters and a 1M-token context window.

770B Mixture-of-Experts Architecture: Holds 770 billion total parameters while activating only 49 billion per token, so capacity scales without proportional inference cost.
1M-Token Context Window: Accepts inputs exceeding one million tokens, allowing whole codebases, long document sets or extended agent traces in a single prompt.
Apache 2.0 Open Weights: Released under a permissive licence that allows commercial use, modification and redistribution with no separate agreement.
Productivity Task Focus: Tuned for real-world coding, office work and scientific research rather than narrow benchmark optimisation.
Multi-Product Availability: Accessible globally through Tencent's WorkBuddy, CodeBuddy, Yuanbao and ima applications in addition to the raw weights.
API Access via TokenHub and OpenRouter: Can be called through Tencent Cloud TokenHub or OpenRouter for teams that prefer hosted inference over self-hosting.

Whole-Repository Code Work: Load an entire codebase into the million-token context to reason about refactors and cross-file dependencies at once.
Long-Horizon Agent Tasks: Drive multi-step agent workflows where the full history of tool calls and intermediate results must stay in context.
Self-Hosted Deployment: Run a frontier-scale open-weight model on private infrastructure where data cannot leave the organisation.
Scientific Literature Analysis: Ingest large collections of papers or experimental logs and synthesise findings without chunking the input.
Office Document Processing: Summarise, draft and restructure long reports, contracts and spreadsheets in enterprise workflows.
Commercial Fine-Tuning: Adapt the weights for a proprietary product under the Apache 2.0 licence without negotiating a model licence.