- Image Generation
Recraft V4 is Recraft’s third-generation image generation model, built around professional design workflows and visual taste, with a focus on photorealism, refined composition, and high-quality raster…
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Recraft V4.1 Utility
- Image Generation
Recraft V4.1 Utility is a controlled-output image generation model from Recraft, optimized for clean, predictable visuals with flat lighting and front-facing compositions. It is particularly suited to product imagery, icons, mockups, and other structured commercial assets where consistency matters more than artistic flourish.
Providers Comparison
Speed
Output tokens per second · Higher is better
L
LLM API
S
SiliconFlow (FP8)
G
GMI
C
CoreWeave
N
Novita
D
DeepSeek
P
Parasail (FP8)
D
DeepInfra (FP4)
End-to-End Response Time
Seconds · Lower is better
L
LLM API
S
SiliconFlow (FP8)
G
GMI
C
CoreWeave
N
Novita
D
DeepSeek
P
Parasail (FP8)
D
DeepInfra (FP4)
Price
USD per 1M tokens (blended) · Lower is better
L
LLM API
S
SiliconFlow (FP8)
G
GMI
C
CoreWeave
N
Novita
D
DeepSeek
P
Parasail (FP8)
D
DeepInfra (FP4)
About the model
What is Recraft V4.1 Utility?
Recraft V4.1 Utility is a general-purpose text-and-image-to-image generation model that produces ~1K-resolution raster images across multiple aspect ratios. It is mainly used for product shots, e-commerce imagery, icons, and mockups that benefit from simple, controlled scenes and restrained aesthetics. It also supports high-volume creative workflows such as ideation, A/B exploration, and content pipelines where predictable, fast output is preferred over highly expressive styling. The model is part of the Recraft V4.1 family and evolves the earlier V4 generation with more natural object understanding, sharper mockups, cleaner default icons, and stronger adherence to shorter prompts.
Model capabilities
5 Core Capabilities
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Text-to-image generation
Generates raster images from natural language prompts, optimized for clean, predictable commercial visuals and structured scenes.
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Image-to-image control
Transforms or refines a single input image using prompts and strength settings, adjusting style while preserving core structure.
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Product shot rendering
Produces front-facing, flat-lit product and e-commerce images, emphasizing clarity, consistency, and catalog-style presentation.
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Mockups and icons
Creates simple mockups, interface-style assets, and icons with restrained aesthetics, clean geometry, and reduced scene complexity.
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Color palette control
Applies specified RGB color palettes and background colors during generation for brand-consistent, systematically styled imagery.
Use cases
6 Most Valuable Use Cases
- E-commerce Product Shots
- Catalog Mockup Imagery
- Icon and Badge Design
- Packaging Visual Concepts
- High-Volume A/B Creatives
- Automated Content Pipelines
Transparent pricing
Cost Comparison
LLM API offers the lowest cost per image and highest reliability versus Recraft and other equivalents.
| Provider | Region | Latency | Throughput | Uptime | Input ($/1M) | Output ($/1M) | Context |
|---|---|---|---|---|---|---|---|
| LLM API BEST | Global | 80ms | 120 img/min | 99.99% | $0.0004/img | $0.0000/img | 12K px |
| Recraft | Global | ~220ms | ~45 img/min | ~99.9% | ~$0.0015/img | $0.0000/img | ~8K px |
| OpenAI | Global | ~180ms | ~60 img/min | 99.9% | ~$0.0020/img | $0.0000/img | ~8K px |
| Stability AI | Global | ~200ms | ~50 img/min | ~99.5% | ~$0.0018/img | $0.0000/img | ~8K px |
Performance benchmarks
Technical Specifications
| Metric | Recraft V4.1 Utility | DALL·E 3 (OpenAI) | Stable Diffusion XL (Stability) |
|---|---|---|---|
| Latency per Image | ~1.2s | ~2.0s | ~3.0s |
| Throughput | ~40 img/s | ~20 img/s | ~30 img/s |
| Max Resolution | 2048×2048 | 1792×1792 | 2048×2048 |
| Price per Image | ~$0.020 | ~$0.040 | ~$0.010 |
| Supported Formats | PNG, JPG, WEBP | PNG, JPG | PNG, JPG, WEBP |
| Uptime | ~99.5% | ~99.9% | ~99.0% |
30-day usage via LLM API
- 3.4B
- Prompt tokens processed (last 30 days)
- 11.2M
- API requests served (last 30 days)
- 2.7B
- Completion tokens generated (last 30 days)
- 99.8%
- Avg API uptime (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 optimal model based on latency, cost, and quality. One API, dynamic policies, no vendor lock-in.
One endpoint, every model -
Cost-Aware Orchestration
Continuously optimize spend with per-call price awareness, smart downgrades, and granular controls. Ship powerful features without blowing your inference budget.
More performance, less spend -
Resilient Fallback Flows
Define automatic failover across providers when models error, timeout, or degrade. Keep production apps responsive even during provider incidents.
Stay up when others fail -
End-to-End Observability
Trace every call across providers with logs, metrics, and structured events. Debug latency, failures, and quality issues from a single pane.
See every token, everywhere -
Task-Level Abstractions
Work at the level of tasks—chat, generation, tools—not vendor-specific quirks. Swap models without rewriting business logic or prompt plumbing.
Think tasks, not models -
High-Throughput Batch APIs
Send massive batches across providers with automatic chunking, retries, and aggregation. Maximize throughput for backfills, evaluations, and offline workloads.
Ship thousands of calls fast
Decision guide
When to Use — When NOT to Use
Use it if...
- You need fast, general-purpose image generation for UI mockups, ads, and thumbnails.
- You need consistent, editable flat illustrations or icons for product, web, or mobile.
- Your use case involves generating multiple visual variants to A/B test creatives quickly.
- You need to transform or restyle existing images while preserving core composition and layout.
- Your use case involves integrating a visual model into design or marketing workflows.
- You need commercially-usable images from a model with modern aesthetic and utility focus.
Avoid if...
- You need state-of-the-art text, code, or reasoning capabilities beyond image-focused tasks.
- Your workload requires highly specialized scientific, medical, or technical diagram generation accuracy.
- You need precise, controllable typography or dense text blocks rendered reliably inside images.
- Your workload requires fine-grained safety controls and auditability for regulated or sensitive domains.
- You need mature ecosystem support, plugins, and extensive third-party tooling around the model.
- Your workload requires multimodal reasoning over long documents, videos, or large structured datasets.
FAQ
Frequently Asked Questions
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What is Recraft V4.1 Utility?
Recraft V4.1 Utility is a Recraft model focused on fast, low-cost image generation and utility graphics workflows via the LLM.API gateway.
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What is Recraft V4.1 Utility best used for?
It is best for quickly generating production-ready utility visuals like icons, UI elements, diagrams, and simple illustrations rather than complex artistic scenes.
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What is the context window of Recraft V4.1 Utility when used via LLM.API?
Recraft V4.1 Utility uses text prompts only, and LLM.API forwards your full prompt as-is without a strict token context limit on the image output.
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How fast is Recraft V4.1 Utility in terms of latency?
Typical image generations complete in a few seconds, depending on image size, sampling settings, and current Recraft and LLM.API load.
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What modalities does Recraft V4.1 Utility support?
Recraft V4.1 Utility accepts text prompts and returns generated images, without native support for audio or video.
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How do I access Recraft V4.1 Utility through LLM.API?
Call the LLM.API image generation endpoint with the provider set to Recraft and the model set to Recraft V4.1 Utility.
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How is Recraft V4.1 Utility priced on LLM.API?
Pricing is per image or per generated pixel, defined by LLM.API’s Recraft V4.1 Utility tariff; check your LLM.API dashboard for current rates.
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How does Recraft V4.1 Utility compare to more general-purpose image models?
Compared to large, artistic image models, it focuses on speed, consistency, and simple utility graphics rather than photorealism or complex compositions.
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What are the main limitations of Recraft V4.1 Utility?
It may struggle with highly detailed scenes, complex photorealistic imagery, precise text rendering, or tasks requiring fine-grained multi-image reasoning.
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Can I control resolution and basic parameters with Recraft V4.1 Utility on LLM.API?
Yes, you can configure core parameters like resolution and some sampling options through LLM.API request fields supported for Recraft image models.
Compare
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