Hailuo 2.3 Fast is part of MiniMax’s optimized model lineup, focusing on low-latency responses and consistent throughput. It supports text-heavy interactions while maintaining compatibility with multimodal inputs, enabling use cases such as document understanding, conversational AI, and structured data processing.
Rather than pushing maximum raw intelligence at the expense of speed, this model is tuned for real-world deployment, where responsiveness directly impacts user experience. Unlike models optimized for single, complex outputs, Hailuo 2.3 Fast performs best in environments with ongoing interaction. It handles iterative prompts efficiently, making it well-suited for chat systems, copilots, and real-time assistants.
| Feature | MiniMax Hailuo 2.3 Fast | Notes |
|---|---|---|
| Model Type | Multimodal / Text-first | Optimized for conversational and structured tasks |
| Response Speed | High (low latency) | Designed for real-time applications |
| Context Window | Up to ~200K tokens | Suitable for long-form inputs |
| Output Stability | High | Consistent formatting and coherence |
| Tool Integration | Supported | Works with function calling pipelines |
| Deployment Focus | Production-ready | Built for scale and reliability |
One of the defining characteristics of Hailuo 2.3 Fast is its ability to maintain high token throughput while preserving output quality. This allows applications to scale without noticeable degradation in performance.
The model supports extended context windows, enabling it to process long documents, maintain conversational memory, and perform multi-step reasoning across large inputs.
While not positioned as the most advanced reasoning model in the lineup, Hailuo 2.3 Fast delivers reliable logic for most production scenarios, including structured outputs, summarization, and decision support.
Hailuo 2.3 Fast is intentionally positioned between lightweight chat models and frontier reasoning systems. It delivers strong performance across common tasks while significantly reducing response time.
| Metric | Hailuo 2.3 Fast | Typical Fast Models | Heavy Reasoning Models |
|---|---|---|---|
| Token Speed | High | High | Medium–Low |
| Reasoning Depth | Moderate–High | Moderate | Very High |
| Latency | Low | Low | Higher |
| Cost Efficiency | Strong | Strong | Lower |
| Stability | High | Variable | High |
Hailuo 2.3 Fast excels in chat-based systems where responsiveness is critical. It maintains context over long sessions and produces natural, coherent replies that feel immediate.
For automation pipelines—such as summarization, classification, or structured extraction—the model offers predictable outputs and fast turnaround times, making it ideal for backend processing.
In coding assistants or productivity tools, the model provides fast suggestions, explanations, and transformations without introducing noticeable delays.
vs MiniMax Hailuo 2.3: The Fast variant prioritizes speed and operational efficiency with modest compromises in ultra-high visual fidelity. The Standard variant supports both text and image inputs with higher visual detail and longer video durations, ideal for projects emphasizing visual richness over rapid output.
vs Kling 2.1: Kling 2.1 is known for consistent results and cost efficiency, performing well for steady character animation. Hailuo 2.3 Fast surpasses Kling with superior speed and advanced motion realism including fluid dynamics, suitable for professional-grade fast content creation at scale.
vs Veo 3.1: Hailuo 2.3 Fast generates 6-10 second videos rapidly (around 55 seconds), optimized for image-to-video tasks with advanced motion and facial animations. Veo 3.1 offers more versatility across text-to-video, image-to-video, and reference-to-video with slightly slower generation times but broader modality support, favoring diverse creative workflows.
vs Sora 2: Hailuo 2.3 Fast excels in rendering speed with up to 2.5x faster video generation, making it highly efficient for quick turnarounds, whereas Sora 2 produces longer, higher-fidelity 12-second videos but requires more time (around 30 seconds). Hailuo focuses on operational scalability with professional quality, while Sora 2 emphasizes ultra-realistic cinematic quality.
import requests, time headers = {"Authorization": "Bearer " + AIMLAPI_KEY} job = requests.post( "https://api.aimlapi.com/v2/video/generations", headers=headers, json={ "model": "minimax/hailuo-2.3-fast", "prompt": "A serene timelapse of clouds over a mountain range" }, ).json() gid = job["id"] while True: res = requests.get(f"https://api.aimlapi.com/v2/video/generations?generation_id={gid}", headers=headers).json() if res.get("status") in ("completed", "error"): break time.sleep(5) print(res["video"]["url"])
const headers = { Authorization: `Bearer ${process.env.AIMLAPI_KEY}`, "Content-Type": "application/json", }; const job = await (await fetch("https://api.aimlapi.com/v2/video/generations", { method: "POST", headers, body: JSON.stringify({ "model": "minimax/hailuo-2.3-fast", "prompt": "A serene timelapse of clouds over a mountain range" }), })).json(); let res; do { await new Promise((r) => setTimeout(r, 5000)); res = await (await fetch(`https://api.aimlapi.com/v2/video/generations?generation_id=${job.id}`, { headers })).json(); } while (!["completed", "error"].includes(res.status)); console.log(res.video.url);
# submit the generation — the response contains the job "id" curl -X POST https://api.aimlapi.com/v2/video/generations \ -H "Authorization: Bearer $AIMLAPI_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"minimax/hailuo-2.3-fast","prompt":"A serene timelapse of clouds over a mountain range"}' # then poll until status is "completed" — video.url holds the result curl "https://api.aimlapi.com/v2/video/generations?generation_id={id}" -H "Authorization: Bearer $AIMLAPI_KEY"
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Output | |
| Benchmark | Score | What it measures | Source | Retrieved |
|---|---|---|---|---|
| Image-to-Video Arena | 1257 | Human preference Elo from blind pairwise comparisons of videos animated from the same input image, measured independently by Artificial Analysis | Source | September 28, 2026 |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Hailuo 2.3 Fast This page | Video generation |
Hailuo 2.3 Fast takes image as input and returns video.
Hailuo 2.3 Fast is priced at $0.416 / 10 sec.
Hailuo 2.3 Fast is billed per generation — a fixed charge per output rather than by prompt length.
Yes, Hailuo 2.3 Fast accepts image input as well as a text prompt.
Hailuo 2.3 Fast was built by MiniMax.
Send a request to v2/video/generations with minimax/hailuo-2.3-fast as the model id.
Yes. Hailuo 2.3 Fast is served through AI/ML API, so the same key and endpoint format used for other models applies.
It is designed for rapid image-to-video generation workflows where speed matters.
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