HunyuanVideo 1.5 vs Mouse-1: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of HunyuanVideo 1.5 and Mouse-1 — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

HunyuanVideo 1.5

Tencent

Free

Lightweight video foundation model from Tencent for high-quality text-to-video and image-to-video generation with strong motion consistency.

Key features

Text-to-Video Generation: Generates coherent short videos directly from text prompts, optimizing visual fidelity and motion continuity to produce usable outputs for creative and prototyping workflows.
Image-to-Video (I2V): Converts a single image or set of images into temporally consistent motion/video sequences while preserving appearance and improving frame-to-frame coherence.
Efficient, Lightweight Architecture: Designed for efficiency (reported ~13B parameters in third-party sources) to reduce inference cost and enable faster generation compared with larger closed-source models.
Image-Video Joint Training: Trained with a joint image-video strategy and curated datasets to improve spatial detail and temporal dynamics, yielding better motion consistency and fewer artifacts.
Open-Source Release & Checkpoints: Official repository provides code, pretrained checkpoints, scripts, and examples to run, fine-tune, and extend the model for research and production use.
Model Variants & Extensions: Provides specialized variants (HunyuanVideo-Avatar for audio-driven human animation, HunyuanVideo-I2V for image-to-video, HunyuanCustom for customization) to cover diverse generation needs.
Text-to-video generation
Image-to-video generation (I2V)
High visual quality with temporal/motion consistency
Lightweight design optimized for efficient inference
Image-video joint model training approach
Curated data pipelines and scaling strategies for robust training
Open-source release with model checkpoints (ckpts) and training/inference scripts
Gradio demo server included for interactive local/hosted demos
Ecosystem models: Avatar (audio-driven human animation) and Custom multimodal extensions

Best for

Short-form Content Creation: Rapid generation of visually coherent short videos from marketing copy or creative prompts for social media and ad prototypes.
Animated Still Conversion: Transforming product photos, artwork, or character portraits into short motion clips using image-to-video capabilities for dynamic presentation.
Audio-driven Human Animation: Using the HunyuanVideo-Avatar variant to produce lip-synced and motion-consistent human animations from audio tracks for virtual avatars or demos.
Custom Branded Video Generation: Adapting HunyuanCustom to build branded or domain-specific video generators that follow style and content constraints for enterprise use.
Research and Benchmarking: Open-source model and checkpoints enable academic and industry researchers to evaluate, compare, and improve video generation techniques.
Prototype Visual Effects and Storyboarding: Quickly produce animatics or VFX concept clips from textual descriptions to iterate on scene composition and motion before full production.
Content production and short-form video generation from text prompts
Image-to-video animations and motion augmentation of still images
Audio-driven avatar and human animation (via HunyuanVideo-Avatar)
Rapid prototyping of video concepts and previsualization for film/ads
Customized multimodal video generation and domain-specific model adaptation

View HunyuanVideo 1.5 details

Mouse-1

Mouse

Paid

Mouse-1 is a fast, low-cost decision model that plugs into agent harnesses to handle routing, gating and verification.

Key features

Decision Layer for Agents: Takes agent state and options and returns probabilities so the harness can route, gate and verify.
About 100 ms Latency: Answers faster than a chat model's first token.
Batch Decisions: One request answers up to 128 questions.
Prompt-Injection Resistance: Chooses only from supplied options; planted instructions changed 0% of decisions in vendor tests.
Zero Data Retention: Requests are scored and dropped, never stored or used for training.
Image and Document Classification: Handles content moderation, document routing and browser-state detection.

Best for

Agent Routing: Deciding which model or tool an agent should use next.
Action Gating: Approving or blocking risky agent actions cheaply.
Content Moderation: Classifying images or text as safe or unsafe.
Document Routing: Sending invoices, contracts and IDs to the right workflow.
Browser Agents: Detecting screen state such as login required or error.
Cost Reduction: Offloading small decisions from expensive frontier models.

View Mouse-1 details