Recraft V4.1 Utility Pro
Recraft V4.1 Utility Pro is a higher-resolution, general-purpose image generation model from Recraft, designed for controlled, predictable commercial visuals with simple, front-facing compositions.
What is Recraft V4.1 Utility Pro?
Recraft V4.1 Utility Pro is a general-purpose text-and-image-to-image model that produces ~2K-resolution raster outputs with flat lighting, front-facing composition, and simple, controlled scenes for commercial use. It is mainly used for product imagery, e-commerce mockups, packaging visuals, and other structured visuals where consistency and clarity matter more than expressive style. It also supports image conditioning and color control parameters (such as strength, rgb_colors, and background_rgb_color) to keep outputs on-brand and production-ready. Recraft V4.1 Utility Pro belongs to the Recraft V4.1 family as the higher-resolution Utility variant, improving on earlier V4 and V4.1 Utility models with better object understanding, sharper mockups, and stronger adherence to short prompts.
Providers
Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick — Balanced (price + speed), Nitro (fastest), or Exacto (highest tool-calling accuracy).
| Provider | Input | Output | Cache read /M | Latency | Throughput | Uptime |
|---|---|---|---|---|---|---|
| Recraft | ~$0.0020/img | ~$0.0020/img | — | ~900ms | ~60 img/min | 99.9% |
| OpenAI (DALL·E 3 equivalent tier) | ~$0.0400/img | ~$0.0400/img | — | ~1200ms | ~40 img/min | 99.9% |
| Stability AI (Stable Image Ultra-equivalent) | ~$0.0200/img | ~$0.0200/img | — | ~1100ms | ~45 img/min | 99.9% |
| Replicate (community Recraft-equivalent model) | ~$0.0250/img | ~$0.0250/img | — | ~1500ms | ~30 img/min | 99.5% |
Try this model
Test Recraft V4.1 Utility Pro right here — free to start.
Suggestions for your first prompt
Code snippet
Call the model through the OpenAI-compatible API.
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://inference.example.com/v1"
)
response = client.chat.completions.create(
model="recraft/recraft-v4-1-utility-pro",
messages=[
{
"role": "user",
"content": "Describe this image in one sentence."
}
],
)
print(response.to_json())
{
"model": "recraft/recraft-v4-1-utility-pro",
"messages": [
{
"role": "user",
"content": "Describe this image in one sentence."
}
]
}
5 Core Capabilities
-
Text-to-image
Generates controlled commercial raster images from text prompts, optimized for simple scenes, flat lighting, and clear product presentation.
-
Image-to-image
Transforms or refines existing input images, using strength and color controls to adjust fidelity while preserving core layout and content.
-
High-resolution output
Produces ~2K resolution images across multiple aspect ratios, suitable for polished mockups, catalogs, and other production-ready visual assets.
-
Palette control
Supports RGB palette and background color parameters, enabling consistent brand colors and uniform backgrounds across generated image batches.
-
Structured mockups
Specialized for predictable e-commerce mockups and product scenes with front-facing compositions and restrained, utility-focused aesthetics.
6 Most Valuable Use Cases
- High-fidelity Image Generation
- Vector Logo Creation
- UI Layout Mockups
- Social Media Visuals
- Marketing Asset Design
- Resolution Enhancement Tasks
Why Build on LLM.API?
One unified API. Every major model. Built-in reliability, cost control, and observability.
-
Unified AI Routing
Automatically route each request to the optimal model based on latency, cost, and quality—no client changes required when you add or swap providers.
One endpoint, every model. -
Cost-Aware Orchestration
Balance premium and budget models with policy-based routing, rate limits, and quotas so you can control spend without manually re-writing integration logic.
Cut costs, keep quality. -
Resilient Fallbacks
Define automatic failover chains across providers so timeouts and outages degrade gracefully, keeping mission-critical AI workflows running without manual intervention.
No single point of failure. -
Deep Observability
Get per-request traces, model-level analytics, and error insights across all providers from one dashboard, making it easy to debug, tune, and audit behavior.
See every token, everywhere. -
Task-Aware Abstractions
Call high-level tasks like chat, tools, or embeddings with a single API, while LLM.API handles provider-specific quirks, parameters, and response normalization.
Code to tasks, not vendors. -
High-Throughput Batch
Process thousands of requests efficiently with batch APIs that optimize concurrency, limits, and retries so you can scale evaluation, fine-tuning, and backfills safely.
Throughput without throttling.
When to Use — When NOT to Use
Use it if...
- You need fast, high-quality image generation for design iterations and creative exploration.
- You need consistent, photorealistic renders of products for marketing assets or catalogs.
- You need to quickly generate many style variations of the same visual concept.
- Your use case involves creating clean UI, icon, or logo-style vector-like imagery.
- Your use case involves turning text prompts into polished social media or ad visuals.
- You need a general-purpose image model that balances quality, speed, and controllability.
Avoid if...
- You need a text-only LLM for code generation, data analysis, or conversation.
- You need detailed multimodal reasoning over documents, charts, or long text contexts.
- Your workload requires strict on-prem deployment with no external model dependencies.
- Your workload requires pixel-perfect medical, scientific, or safety-critical visual outputs.
- You need fine-grained control over 3D geometry, animation, or CAD-specific design constraints.
- You need guaranteed open-weight models for self-hosting and full-stack customisation.
Frequently Asked Questions
-
What is Recraft V4.1 Utility Pro?
Recraft V4.1 Utility Pro is a Recraft model optimized for fast, utility-style generation and editing of visual assets via the LLM.API gateway.
-
What modalities does Recraft V4.1 Utility Pro support through LLM.API?
Recraft V4.1 Utility Pro supports image generation and editing from text prompts, and may accept image inputs depending on the specific LLM.API endpoint configuration.
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How does Recraft V4.1 Utility Pro compare to larger, more general-purpose image models?
Compared to larger flagship image models, Recraft V4.1 Utility Pro prioritizes speed and utility over photorealism and may produce less detailed or stylized outputs.
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What is the context window of Recraft V4.1 Utility Pro?
Recraft has not publicly documented an exact token context window for V4.1 Utility Pro; assume standard short instruction prompts rather than long conversation histories.
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Is Recraft V4.1 Utility Pro fast enough for real-time or interactive use?
Recraft V4.1 Utility Pro is designed for relatively low-latency image utility operations, but exact response times depend on LLM.API load and your request parameters.
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How is Recraft V4.1 Utility Pro priced on LLM.API?
Pricing for Recraft V4.1 Utility Pro is determined by LLM.API and typically depends on request volume and image size; check your LLM.API dashboard for current rates.
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How do I call Recraft V4.1 Utility Pro via LLM.API?
Use the LLM.API image-generation endpoint with the model identifier for Recraft V4.1 Utility Pro, passing your prompt and any supported image parameters.
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Does Recraft V4.1 Utility Pro support high-resolution outputs?
Recraft V4.1 Utility Pro supports common web-friendly resolutions, but ultra-high-resolution or print-ready images may require post-processing or tiling strategies.
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What are the main limitations of Recraft V4.1 Utility Pro?
Recraft V4.1 Utility Pro can struggle with fine text in images, strict brand assets, exact photorealism, and may occasionally produce artifacts or off-style results.
-
Can I use Recraft V4.1 Utility Pro for batch or programmatic image generation?
Yes, you can send multiple requests programmatically through LLM.API, but you should implement rate limiting and retries according to your LLM.API plan constraints.
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