Powered by MiniMax
Hailuo 2.3
- Instruction Following
Hailuo 2.3 by MiniMax is a high-fidelity AI video generation model designed for realistic, cinematic 1080p clips from text or image prompts, with strong motion, physics, and facial expression modeling.
About the model
What is Hailuo 2.3?
Hailuo 2.3 is MiniMax’s flagship AI video generation model for producing ultra-realistic short video clips from text-to-video and image-to-video inputs. It is mainly used for cinematic content creation, visual effects, and storytelling where natural motion, camera movements, and expressive characters are important. It is also widely adopted for animating still images into smooth, temporally stable clips for social media, advertising, and creative prototyping. As part of the Hailuo AI video family from MiniMax, it follows earlier Hailuo releases and sits alongside variants such as Hailuo 2.3 Fast and specialized I2V/T2V configurations.
Model capabilities
5 Core Capabilities
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Text-to-video
Generates short high-fidelity videos directly from text prompts, emphasizing cinematic composition, realistic motion, and temporal consistency.
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Image-to-video
Extends a single reference image into a coherent video clip, preserving character appearance while adding dynamic motion and camera movement.
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Cinematic Motion
Specializes in human-centered footage with coordinated full-body motion, readable facial expressions, and stable stylized looks across frames.
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Stylized Generation
Produces anime and illustration-style sequences with consistent visual identity, suitable for game-adjacent, VFX, and creative storytelling workflows.
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Multimodal Integration
Integrates into broader MiniMax multimodal ecosystem, enabling workflows that combine text, images, and video for production pipelines.
Use cases
6 Most Valuable Use Cases
- Short Ad Videos
- Cinematic Scene Prototyping
- Social Media Clips
- Product Demo Videos
- Image-to-Video Animation
- Anime Style Sequences
Transparent pricing
Cost Comparison
LLM API offers the lowest costs and best performance for Hailuo 2.3–class models.
| Provider | Region | Latency | Throughput | Uptime | Input ($/1M) | Output ($/1M) | Context |
|---|---|---|---|---|---|---|---|
| LLM API BEST | Global | 120ms | 120 tps | 99.99% | $0.05 | $0.10 | 256K |
| MiniMax | Global | ~220ms | ~60 tps | ~99.9% | ~$0.15 | ~$0.30 | ~128K |
| OpenRouter | Global | ~320ms | ~40 tps | ~99.5% | ~$0.20 | ~$0.40 | ~128K |
| Fireworks | US East | ~250ms | ~80 tps | ~99.9% | ~$0.18 | ~$0.36 | ~200K |
| Together AI | US West | ~260ms | ~70 tps | ~99.0% | ~$0.16 | ~$0.32 | ~128K |
Performance benchmarks
Technical Specifications
| Metric | Hailuo 2.3 | GPT-4.1 Mini (OpenAI) | Claude 3.5 Haiku (Anthropic) |
|---|---|---|---|
| Avg Latency | ~220ms | ~250ms | ~260ms |
| Context Window | 128K | 128K | 200K |
| Input Price ($/1M) | $0.15 | $0.15 | $0.25 |
| Output Price ($/1M) | $0.60 | $0.60 | $1.25 |
| Max Output Tokens | 4K | 4K | 4K |
| Throughput | 80 tps | 60 tps | 50 tps |
| Uptime | 99.9% | 99.9% | 99.9% |
30-day usage via LLM API
- 8.4B
- Prompt tokens processed (30 days)
- 620M
- Completion tokens generated (30 days)
- 19.5M
- API requests served (30 days)
- 99.8%
- Average uptime over last 30 days
Architecture & Integration
Why Build on LLM.API?
One unified API. Every major model. Built-in reliability, cost control, and observability.
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Intelligent Model Routing
Automatically route each request to the best model across providers based on policy, latency, or performance—without changing your application code or client integration.
One endpoint, any model. -
Cost-Aware Execution
Optimize spend in real time with per-route pricing rules, model tiering, and usage controls so you never overpay for simple or high-volume workloads.
Max performance, minimal cost. -
Resilient Fallback Flows
Define automatic failover and retry chains across providers so requests keep succeeding through outages, rate limits, or timeouts—no custom error-handling glue code.
Stay online, even upstream. -
Deep LLM Observability
Inspect every call with traces, metrics, and structured logs to debug prompts, compare models, and enforce SLAs across all providers from one unified view.
See every token, everywhere. -
Task-Level Abstractions
Describe what you want—chat, extraction, classification, tools—and let LLM.API standardize schemas and orchestration, freeing you from provider-specific APIs and formats.
Think tasks, not vendors. -
High-Throughput Batch Jobs
Run massive prompt batches with parallelism, retries, and progress tracking built in, instead of hand-rolling queues, workers, and ad-hoc rate limiting.
Batch at production scale.
Decision guide
When to Use — When NOT to Use
Use it if...
- You need a cost-effective general-purpose chat model for everyday applications and prototypes.
- Your use case involves multilingual customer support where perfect nuance is not mission-critical.
- You need a lightweight assistant for simple content drafting, rewriting, and email generation.
- Your use case involves integrating an affordable LLM into mobile or web consumer apps.
- You need a general chatbot for FAQs, basic reasoning, and common productivity tasks.
- Your use case involves educational helpers for explanations, summaries, and simple tutoring scenarios.
Avoid if...
- You need state-of-the-art complex reasoning, planning, or coding performance comparable to top-tier models.
- Your workload requires strict enterprise-grade compliance, certifications, and detailed governance guarantees.
- You need highly specialized domain expertise, such as advanced legal or medical decision support.
- Your workload requires extremely long-context processing for huge documents or multi-session reasoning.
- You need guaranteed best-in-class tool use, code execution reliability, and complex agentic workflows.
- Your workload requires robust offline deployment options or fine-grained control over model weights.
FAQ
Frequently Asked Questions
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What is Hailuo 2.3?
Hailuo 2.3 is a MiniMax large language model accessible through LLM.API for general-purpose text generation and understanding workloads.
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What modalities does Hailuo 2.3 support via LLM.API?
Hailuo 2.3 currently supports text-only input and output when accessed through LLM.API.
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What is the context window of Hailuo 2.3?
Hailuo 2.3 supports up to a 32,000-token context window for prompts and conversation history.
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How fast is Hailuo 2.3 in terms of latency and throughput?
Typical responses from Hailuo 2.3 start streaming within a few hundred milliseconds, with throughput suitable for low-latency interactive applications.
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How is Hailuo 2.3 priced when used through LLM.API?
Hailuo 2.3 uses LLM.API’s unified usage-based pricing, billed per input and output token according to the MiniMax Hailuo 2.3 price tier.
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What is Hailuo 2.3 particularly good at?
Hailuo 2.3 is strong at fast, low-cost general chat, drafting, and code assistance tasks with moderate complexity.
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How do I call Hailuo 2.3 using LLM.API?
You select the MiniMax Hailuo 2.3 model in your LLM.API request and authenticate with your LLM.API key; no direct MiniMax account is required.
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How does Hailuo 2.3 compare to similar models on LLM.API?
Hailuo 2.3 typically offers a lower-cost, speed-focused alternative to larger frontier models, with slightly reduced reasoning depth and instruction-following precision.
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What are the main limitations of Hailuo 2.3?
Hailuo 2.3 can hallucinate facts, struggle with highly specialized reasoning, and should not be used without human review for safety-critical decisions.
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Does Hailuo 2.3 support tools, function calling, or structured outputs?
Tool calling and structured output support depend on LLM.API’s orchestration layer rather than Hailuo 2.3’s native capabilities.