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Recraft V4.1 Pro
- Text Generation
Recraft V4.1 Pro is a high-aesthetics image generation model from Recraft that produces ~2K-resolution images with enhanced photorealism, smooth gradients, and strong adherence to short prompts, aimed at premium creative and production workloads.
About the model
What is Recraft V4.1 Pro?
Recraft V4.1 Pro is a premium raster image generation model in the Recraft lineup, tuned for high aesthetics and higher-fidelity output than the standard V4.1 model. It is primarily used for text-to-image and image-to-image generation where print-ready or large-format imagery is needed, such as brand campaigns, hero visuals, and detailed illustration work. It also serves production use cases that require controlled palettes, background colors, and upscale resolution while preserving design taste and visual consistency. Recraft V4.1 Pro belongs to the Recraft V4.x family, extending the capabilities of earlier V4 and V4 Pro models with more natural photorealism and higher resolution.
Model capabilities
5 Core Capabilities
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High‑aesthetic imaging
Generates high-aesthetic images with strong design taste, photorealism, smooth gradients, and detailed 3D-style rendering from text prompts.
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Prompt comprehension
Understands complex, design-focused text prompts and produces visuals that closely follow specified content, style, and composition requirements.
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Layout monitoring
Maintains structured, usable compositions suitable for production assets, supporting consistent framing, spacing, and hierarchy in generated visuals.
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Text rendering
Renders legible, stylistically consistent embedded text within images such as logos, packaging copy, or interface labels from prompt instructions.
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Multilingual prompts
Accepts prompts written in multiple languages, enabling creators worldwide to describe desired imagery without being limited to English only.
Use cases
6 Most Valuable Use Cases
- Print-ready hero imagery
- Advertising campaign visuals
- Editorial photography mockups
- High-end product shots
- Brand and packaging assets
- Large-format display renders
Transparent pricing
Cost Comparison
LLM API offers significantly lower image generation costs and higher reliability than Recraft V4.1 Pro equivalents.
| Provider | Region | Latency | Throughput | Uptime | Input ($/1M) | Output ($/1M) | Context |
|---|---|---|---|---|---|---|---|
| LLM API BEST | Global | 120ms | 120 img/min | 99.99% | $0.0008/img | $0.0000/img | 16 img/batch |
| Recraft | Global | ~350ms | ~40 img/min | ~99.9% | ~$0.0020/img | $0.0000/img | ~8 img/batch |
| OpenAI (DALL·E-equivalent tier) | Global | ~400ms | ~30 img/min | ~99.9% | ~$0.0200/img | $0.0000/img | ~4 img/batch |
| Stability AI (SDXL-equivalent tier) | Global | ~450ms | ~35 img/min | ~99.5% | ~$0.0040/img | $0.0000/img | ~6 img/batch |
| Replicate (Recraft-like hosted model) | US East | ~500ms | ~25 img/min | ~99.0% | ~$0.0060/img | $0.0000/img | ~4 img/batch |
Performance benchmarks
Technical Specifications
| Metric | Recraft V4.1 Pro | Midjourney V6 | DALL·E 3 |
|---|---|---|---|
| Latency per Image | ~3.0s | ~8.0s | ~6.0s |
| Throughput | ~40 img/min | ~15 img/min | ~20 img/min |
| Max Resolution | 4096×4096 | 2048×2048 | 2048×2048 |
| Price per Image | ~$0.03 | ~$0.04 | ~$0.04 |
| Supported Formats | PNG, JPG, WEBP | PNG, JPG | PNG, JPG, WEBP |
| Uptime | 99.9% | 99.0% | 99.5% |
30-day usage via LLM API
- 6.8B
- Prompt tokens processed (30 days)
- 4.1B
- Images rendered tokens-equivalent (30 days)
- 3.3M
- API requests served (30 days)
- 99.8%
- Avg 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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Unified AI Routing
Define policies once and let LLM.API route each request to the optimal model across providers based on latency, price, and quality—no client changes required.
One endpoint, any model -
Cost-Aware Orchestration
Mix premium and budget models with per-route cost controls, soft limits, and analytics to keep experiments fast while avoiding surprise bills in production.
Control spend by design -
Resilient Fallback Flows
Configure multi-step failover across models and regions so requests automatically retry or downgrade gracefully instead of timing out or breaking user flows.
Never fail on first try -
End-to-End Observability
Get full visibility into logs, latency, cost, and provider errors for every call, with trace IDs that plug cleanly into your existing monitoring stack.
See every token, everywhere -
Task-Level Abstractions
Call high-level tasks—chat, tools, RAG, generation—instead of raw models, so you can swap providers or upgrade capabilities without rewriting application logic.
Think tasks, not models -
High-Throughput Batch APIs
Ship millions of requests efficiently with provider-agnostic batching, concurrency controls, and retry policies tuned for large workloads and offline processing.
Scale from day one
Decision guide
When to Use — When NOT to Use
Use it if...
- You need high-quality AI-generated illustrations, icons, and concept art for digital products.
- You need controllable style presets to keep generated marketing visuals on-brand and consistent.
- Your use case involves rapidly iterating on UI assets, game art, or character designs.
- You need an image model with strong text-to-image performance optimized for creative workflows.
- Your use case involves designers using a web UI focused on visual content creation.
- You need commercial-friendly licensing for AI-generated images used in client-facing materials.
Avoid if...
- You need a text LLM for code generation, reasoning, or natural language understanding tasks.
- Your workload requires editing or generating long-form text documents instead of visual assets.
- You need multimodal reasoning that tightly couples image generation with complex textual analysis.
- Your workload requires on-premise or fully self-hosted deployment rather than cloud image APIs.
- You need ultra-low-latency inference for real-time interactive applications beyond creative image tools.
- Your workload requires training or fine-tuning custom models rather than using a hosted image service.
FAQ
Frequently Asked Questions
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What is Recraft V4.1 Pro?
Recraft V4.1 Pro is an image-generation model by Recraft focused on high-quality, controllable graphics and illustrations for design and creative workflows.
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What is Recraft V4.1 Pro best suited for?
Recraft V4.1 Pro is best for generating clean vector-style graphics, icons, branding assets, UI elements, and stylized illustrations from text prompts.
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Which modalities does Recraft V4.1 Pro support via LLM.API?
Through LLM.API, Recraft V4.1 Pro supports text-to-image generation and image variations, but does not handle text-only chat or code completion.
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How is Recraft V4.1 Pro priced on LLM.API?
Recraft V4.1 Pro pricing is per image generation request on LLM.API; check your LLM.API pricing dashboard for the latest unit costs.
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What is the context window of Recraft V4.1 Pro?
Recraft V4.1 Pro accepts relatively short textual prompts suitable for describing scenes and styles, rather than long multi-thousand-token contexts.
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How fast is Recraft V4.1 Pro when called through LLM.API?
Typical latency is a few seconds per image on LLM.API, varying with image size, prompt complexity, and current platform load.
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How do I call Recraft V4.1 Pro using the LLM.API endpoints?
Use the standard LLM.API image-generation endpoint with the Recraft V4.1 Pro model identifier, passing your prompt and image parameters in the request body.
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How does Recraft V4.1 Pro compare to general-purpose image models?
Compared to general-purpose image models, Recraft V4.1 Pro emphasizes crisp, editable design assets and consistent styles over photorealistic photography.
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What limitations should I know about when using Recraft V4.1 Pro?
Recraft V4.1 Pro may struggle with complex photorealism, long textual instructions, and tasks requiring detailed textual reasoning or world knowledge.
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Can I combine Recraft V4.1 Pro with other models on LLM.API?
Yes, you can orchestrate Recraft V4.1 Pro with text or reasoning models on LLM.API to generate prompts, refine instructions, or post-process outputs.