Powered by Recraft
Recraft V4.1
- Image Generation
Recraft V4.1 is Recraft’s fourth‑generation image generation model, offering high‑quality raster and vector outputs for creative and commercial design workflows.
About the model
What is Recraft V4.1?
Recraft V4.1 is a text‑to‑image and text‑to‑vector AI model from Recraft designed for generating high‑quality raster and SVG graphics. It is mainly used for fast, general‑purpose image generation such as illustrations, product shots, and concept art, including controlled‑output “Utility” and higher‑resolution “Utility Pro” variants. It is also used for scalable, editable vector assets through its text‑to‑vector and SVG‑focused configurations, making it suitable for logos, icons, and UI graphics. It belongs to the Recraft V4 family of image models, following earlier versions like Recraft V3 and V4, and extends them with improved aesthetics, resolution, and control.
Model capabilities
5 Core Capabilities
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Text Chat
Engages in conversational text interactions, answering questions, following instructions, and assisting with creative or technical writing tasks.
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Image Generation
Generates high-quality images from text prompts, supporting diverse styles and subjects for design, illustration, and creative content.
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Image Editing
Edits and enhances existing images based on text instructions, including modifications, style changes, and localized visual adjustments.
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Style Transfer
Applies specific artistic styles or brand aesthetics to generated or uploaded images while preserving core composition and content.
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Multilingual Prompts
Accepts prompts in multiple languages for generating or editing images, enabling cross-language creative workflows and experimentation.
Use cases
6 Most Valuable Use Cases
- General Image Generation
- High-Quality Visual Assets
- Marketing Creative Production
- Product Mockup Design
- E-commerce Listing Images
- Vector Graphic Creation
Transparent pricing
Cost Comparison
LLM API offers the lowest image costs and best SLAs for Recraft‑class models.
| Provider | Region | Latency | Throughput | Uptime | Input ($/1M) | Output ($/1M) | Context |
|---|---|---|---|---|---|---|---|
| LLM API BEST | Global | ~220ms | ~140 img/min | 99.99% | $0.0005/img | $0.0005/img | ~16 images per request |
| Recraft | Global | ~350ms | ~80 img/min | 99.9% | ~$0.0012/img | ~$0.0012/img | ~8 images per request |
| OpenAI (Image API) | US East | ~320ms | ~100 img/min | 99.9% | ~$0.0020/img | ~$0.0020/img | ~10 images per request |
| Stability AI | EU West | ~280ms | ~90 img/min | 99.9% | ~$0.0015/img | ~$0.0015/img | ~8 images per request |
| Replicate | Global | ~400ms | ~70 img/min | 99.5% | ~$0.0025/img | ~$0.0025/img | ~6 images per request |
Performance benchmarks
Technical Specifications
| Metric | Recraft V4.1 | Midjourney v6 | DALL·E 3 |
|---|---|---|---|
| Latency per Image | ~4s | ~6s | ~8s |
| Throughput | ~40 imgs/min | ~30 imgs/min | ~25 imgs/min |
| Max Resolution | 2048x2048 | 2048x2048 | 1792x1792 |
| Price per Image | ~$0.03 | ~$0.04 | ~$0.04 |
| Supported Formats | PNG, JPG, WEBP | PNG, JPG | PNG, JPG |
| Uptime | 99.9% | 99.5% | 99.9% |
30-day usage via LLM API
- 3.8B
- Prompt tokens processed (last 30 days)
- 12.5M
- API requests served (last 30 days)
- 2.9B
- Images & variations generated (last 30 days)
- 99.8%
- Avg API uptime
Architecture & Integration
Why Build on LLM.API?
One unified API. Every major model. Built-in reliability, cost control, and observability.
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Unified AI Routing
Route each request to the best model in real time using latency, price, and quality signals—no client logic or provider lock-in required.
One endpoint, any model -
Cost-Aware Orchestration
Automatically optimize for price versus quality with per-request controls, usage caps, and smart downgrades so you never overspend on non-critical workloads.
Cut spend, keep quality -
Resilient Fallbacks
Define provider and model fallbacks once; LLM.API transparently retries across regions and vendors to keep your AI features online during outages or rate limits.
No single point of failure -
End-to-End Observability
Get unified logs, traces, costs, and latency metrics across all models and providers, with request replay and payload search for fast debugging and tuning.
See every token -
Task-Level Abstractions
Build against portable task APIs—chat, tools, RAG, vision, and more—so you can swap models without rewriting prompts, schemas, or integration code.
Code to tasks, not models -
High-Throughput Batch
Process millions of inferences efficiently with batch queuing, concurrency control, and partial-failure handling to keep large data and offline workflows cheap and fast.
Scale from 10 to 10M
Decision guide
When to Use — When NOT to Use
Use it if...
- You need to generate high-quality, stylized illustrations or concept art from text prompts.
- You need consistent character or asset generation across multiple related images or scenes.
- Your use case involves producing marketing visuals, social creatives, or web graphics quickly.
- You need controllable image generation with style, composition, or branding guidance from references.
- Your use case involves experimenting with multiple visual variants to A/B test creative directions.
- You need AI-generated images that can be edited or refined iteratively via new prompts.
Avoid if...
- You need a text-only large language model for reasoning, coding, or long-form writing.
- Your workload requires detailed video generation, temporal consistency, or long animation sequences.
- You need strict medical, legal, or safety-certified outputs beyond general-purpose creative imagery.
- Your workload requires on-device inference without calling external image-generation APIs or services.
- You need high-accuracy OCR, document understanding, or data extraction rather than visual creativity.
- Your workload requires generating 3D assets, meshes, or CAD files rather than 2D images.
FAQ
Frequently Asked Questions
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What is Recraft V4.1?
Recraft V4.1 is an image generation model by Recraft focused on high-quality, stylized visuals for design and creative use cases.
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What is the context window or maximum input size for Recraft V4.1?
Recraft V4.1 is an image generation model and does not use a traditional token-based context window like text-only LLMs.
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Which modalities does Recraft V4.1 support?
Recraft V4.1 supports text-to-image generation, taking text prompts as input and producing images as output.
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How fast is Recraft V4.1 when called through LLM.API?
Recraft V4.1 generation latency via LLM.API depends on image size and load, but is generally suitable for interactive design workflows.
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How is Recraft V4.1 priced on LLM.API?
On LLM.API, Recraft V4.1 is typically billed per generated image or per image pixel, depending on the platform’s active pricing plan.
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How do I call Recraft V4.1 through the LLM.API gateway?
You select the Recraft V4.1 model in your LLM.API request payload and provide a text prompt plus any desired image generation parameters.
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What is Recraft V4.1 particularly good at?
Recraft V4.1 excels at generating clean, commercially usable illustrations, branding assets, icons, and design-oriented images from concise prompts.
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How does Recraft V4.1 compare to general-purpose text models on LLM.API?
Unlike text LLMs, Recraft V4.1 specializes purely in image generation and should be combined with a text model for complex reasoning or prompt engineering.
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What are the main limitations of Recraft V4.1?
Recraft V4.1 may struggle with dense text in images, exact brand replications, or photorealism compared to models optimized specifically for those tasks.
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Can Recraft V4.1 handle batch image generation via LLM.API?
Yes, you can request multiple images per prompt through LLM.API, subject to rate limits and maximum batch sizes configured on your account.