# LongLive-2.0 vs MiniMax FastH3: inputs, controls and API cost

> Compare LongLive-2.0 and MiniMax FastH3 APIs: inputs, outputs, streaming delivery and ready-second cost. Choose a Windflow model for your product.

Source: https://windflow.online/compare/longlive-2-vs-fast-h3 · Updated 2026-10-11 · Windflow Labs

**LongLive-2.0 and MiniMax FastH3 are both realtime video generation options in Windflow's public catalog.** Choose by the inputs and interaction you need, then evaluate quality and responsiveness with your actual application. This page compares the published serving profiles; it does not present a head-to-head performance experiment.

## Quick decision

- Evaluate [LongLive-2.0](https://windflow.online/models/longlive-2) for: Multi-shot narrative clips directed live, one text prompt per shot.
- Evaluate [MiniMax FastH3](https://windflow.online/models/fast-h3) for: Generated video with synchronised dialogue, ambience and music from one prompt.

## Specifications side by side

| Published specification | LongLive-2.0 | MiniMax FastH3 |
|---|---|---|
| Architecture | Autoregressive multi-shot DiT (Wan2.2-TI2V backbone) | 35B MiniMax H3 text-to-video-and-audio model, DMD2-distilled to four DiT calls with 90% sparse VSA-H3 attention |
| Resolution | 1280 × 704 | 960 × 544 |
| Chunk | 29 frames | 345 frames per window (14.38 s at 24 fps; published as the 15 s profile) |
| Scene budget | 48 chunks per scene; scene_cut opens a fresh budget | Not published |
| Inputs | Text shot prompts only — no reference image in this release | A text prompt with visual, dialogue, soundscape, and music direction |
| Outputs | A multi-shot clip on main_video; chunk_index resets per scene while session_chunk keeps counting | Video on main_video and generated audio downmixed to mono on main_audio, aligned per window |
| Delivery | WebSocket (H.264) · WebRTC | WebRTC |
| Session protocol | sdk.realtime.v2 | sdk.realtime.v2 |
| Price | $0.0021 per ready second | $0.0069 per ready second |
| Playout | Not published | 24 |
| Control latency | Not published | A whole window. The pipeline materialises the clip before delivery, so time-to-first-frame equals one generation. |
| Implementation status | production | production |

Implementation status describes runtime maturity. Live GPU readiness is reported separately; Windflow is in private beta and brings capacity up on demand.

## Input and control fit

Both models accept text prompts in the published Windflow profile.
Both models do not accept reference or seed images in the published Windflow profile.
Both models do not accept uploaded source clips in the published Windflow profile.
Both models do not accept live webcam input in the published Windflow profile.
Both models do not accept movement and look controls in the published Windflow profile.

A shared session API does not make commands interchangeable. Use each model's supported inputs and control timing. In particular, prompt changes may land at a chunk or generation-window boundary; movement input can represent persistent state until replaced.

## What LongLive-2.0 is designed for

LongLive-2.0 is an autoregressive, multi-shot video diffusion model from NVIDIA Research (NVlabs), built on a Wan2.2-TI2V backbone and designed to keep a long video coherent as the prompt changes. On Windflow you direct it with text shot prompts: switch the shot softly while it runs, or cut to a new scene.

- Multi-shot narrative clips directed live, one text prompt per shot.
- Interactive long-form video where a viewer or an agent decides what happens next.
- Storyboard-to-motion experiments that need scene-to-scene continuity.
- Streams that run scene after scene without a fixed end point.

## What MiniMax FastH3 is designed for

MiniMax FastH3 is the 35-billion-parameter MiniMax H3 text-to-video-and-audio model, distilled to four DiT calls and sparse attention with the open-source FastVideo stack from Hao AI Lab. On Windflow it streams video with generated audio window by window from a text prompt that carries visual, dialogue, soundscape and music direction.

- Generated video with synchronised dialogue, ambience and music from one prompt.
- Continuous AI channels and episodic streams built window by window.
- Short-form portrait or landscape clips for social and marketing tests.
- Evaluating MiniMax H3 behind a session API before committing to it.

## Compare a realistic session budget

- LongLive-2.0: $0.0021 per ready second, or $1.26 for ten ready minutes.
- MiniMax FastH3: $0.0069 per ready second, or $4.17 for ten ready minutes.

Queueing and worker startup are free. A ready owner session can remain billable while delivery is paused or unwatched; release it when done. Independent sessions carry independent meters. Use the [cost calculator](https://windflow.online/tools/ai-video-cost-calculator) to estimate your duration and daily sessions.

## Evaluate before choosing

Use one repeatable input sequence, the same client and network, and equivalent output expectations. Record first visible frame, control-to-visible delay, frame gaps, scene continuity and rejected controls. Run several starts and a sustained session. If serving profiles differ, label the differences instead of treating displayed FPS as directly comparable native generation speed.

See [the latency measurement guide](https://windflow.online/guides/measure-realtime-video-latency) and [the model selector](https://windflow.online/tools/ai-video-model-selector) for a reproducible decision process.

## Sources

- [NVlabs/LongLive on GitHub](https://github.com/NVlabs/LongLive) — Apache-2.0
- [hao-ai-lab/FastVideo on GitHub](https://github.com/hao-ai-lab/FastVideo) — Apache-2.0 (framework)

## FAQ

### Is LongLive-2.0 better than MiniMax FastH3?

The answer depends on the inputs, control behavior, quality and output your product requires. The published specifications identify capability differences; an application-level evaluation establishes performance for your scenario.

### Can I switch between these models through the same API?

Windflow keeps the session lifecycle common. Your application must adapt to each model's supported inputs, commands, output tracks and generation timing.

### Do the published prices guarantee available GPU capacity?

No. Rates and implementation status are catalog facts. Live readiness is a separate operational signal, and private-beta access is required to run sessions.