- Image Generation
GPT-5 Image is an OpenAI multimodal model variant focused on understanding and generating images, extending GPT-5’s capabilities beyond text to visual content.
Powered by Recraft
Recraft V4 Pro
- Image Generation
Recraft V4 Pro is a high-resolution text-to-image generation model from Recraft, designed for professional, brand-critical creative production with strong visual taste and prompt accuracy.
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 Pro?
Recraft V4 Pro is an advanced text-to-image model that generates ~2K resolution images with refined composition, lighting, and contemporary styling for production-ready use. It is mainly used for marketing and advertising visuals, print-ready assets, and other high-end creative campaigns that require fine detail and consistent aesthetics. It is also widely adopted for logos, icons, vector-style graphics, and branding assets where precise color control and typography integration matter. Recraft V4 Pro is the high-resolution member of the Recraft V4 image model family, extending the standard V4 model with 4-megapixel, print-grade outputs.
Model capabilities
5 Core Capabilities
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Text-to-image generation
Generates high-fidelity images from detailed text prompts at around 2K resolution, suitable for production and brand-critical creative work.
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Image-based variation
Takes an input image and produces refined or stylistically adjusted variants, with configurable strength controlling deviation from the source.
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Prompt-following control
Accurately follows long, complex prompts while preserving coherent composition, enabling precise control over subjects, scenes, and styles.
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Visual palette control
Supports configuration of color palettes and background colors, enabling consistent on-brand color usage across generated visual assets.
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Design-focused rendering
Optimizes composition, lighting, and detail for logos, icons, packaging, and other graphic design use cases needing intentional aesthetics.
Use cases
6 Most Valuable Use Cases
- Brand campaign visuals
- Print-ready marketing assets
- Product packaging concepts
- Website hero imagery
- Logo and icon drafts
- Concept art generation
Transparent pricing
Cost Comparison
Save up to ~40% vs Recraft V4 Pro and similar premium image models.
| Provider | Region | Latency | Throughput | Uptime | Input ($/1M) | Output ($/1M) | Context |
|---|---|---|---|---|---|---|---|
| LLM API BEST | Global | ~350ms | ~120 img/min | 99.99% | $0.0007/img | $0.0000/img | 1 img up to 4K resolution |
| Recraft | Global | ~450ms | ~80 img/min | 99.9% | ~$0.0012/img | $0.0000/img | ~1 img up to 4K resolution |
| OpenAI (DALL·E tier) | Global | ~600ms | ~50 img/min | 99.9% | ~$0.0200/img | $0.0000/img | 1 img up to 1024×1024 |
| Stability AI (Stable Image Ultra-equivalent) | Global | ~700ms | ~40 img/min | 99.9% | ~$0.0100/img | $0.0000/img | 1 img up to 1024×1024 |
| Replicate (Recraft-like model) | US West | ~900ms | ~25 img/min | 99.5% | ~$0.0150/img | $0.0000/img | 1 img up to 2048×2048 |
Performance benchmarks
Technical Specifications
| Metric | Recraft V4 Pro | OpenAI DALL·E 3 | Midjourney v6 |
|---|---|---|---|
| Latency per Image | ~4s | ~6s | ~8s |
| Throughput | ~40 img/min | ~30 img/min | ~25 img/min |
| Max Resolution | 2048x2048 | 2048x2048 | 2048x2048 |
| Price per Image | ~$0.03 | ~$0.04 | ~$0.04 |
| Supported Formats | PNG, JPG, WEBP | PNG, JPG | PNG, JPG |
| Uptime | ~99.5% | ~99.9% | ~99.0% |
30-day usage via LLM API
- 3.6B
- Prompt tokens processed (30 days)
- 12.4M
- API requests served (30 days)
- 2.9B
- Images and variants generated (30 days)
- 99.8%
- Avg API uptime (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
Dynamically route each request to the best model across providers based on cost, latency, and quality—without changing your code or redeploying services.
One endpoint, every model -
Cost-Aware Control
Enforce spend limits, choose price tiers, and automatically shift traffic to more efficient models so you can scale usage without surprise cloud bills.
Optimize cost per token -
Automatic Fallback Flows
Configure per-route failover to backup models or providers so outages, rate limits, or degraded models don’t take your product offline.
Resilient by default -
Deep LLM Observability
Get per-request traces, metrics, and logs across all providers in one place, so you can debug prompts, tune routing, and prove reliability to stakeholders.
Single pane of glass -
Task-Level Abstractions
Describe tasks—chat, RAG, tools, classification—once and let LLM.API pick the right model, parameters, and tools for each use case automatically.
Code to tasks, not models -
High-Throughput Batch
Run massive prompt batches with automatic chunking, concurrency control, and provider balancing to cut processing time and reduce costs for large workloads.
Ship at batch scale
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 fast iteration on branding assets like logos, icons, and marketing visuals.
- Your use case involves creating multiple style-consistent images for a product or game.
- You need AI-assisted refinement of compositions, colors, or details for visual design workflows.
- Your use case involves generating web or social media graphics from simple specifications.
- You need an image model integrated into a design-focused platform rather than a general LLM stack.
Avoid if...
- You need a general-purpose language model for text generation, coding, or reasoning tasks.
- Your workload requires processing or summarizing long documents, logs, or textual datasets.
- You need precise control over numerical reasoning, data analysis, or structured text outputs.
- Your workload requires speech recognition, audio generation, or multimodal video understanding.
- You need fine-tuned domain-specific NLP capabilities like legal analysis or scientific writing.
- Your workload requires confidential on-premise deployment beyond what a hosted image service supports.
FAQ
Frequently Asked Questions
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What is Recraft V4 Pro?
Recraft V4 Pro is an advanced image generation model from Recraft focused on high-quality, controllable visual outputs for design and creative workflows.
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What modalities does Recraft V4 Pro support via LLM.API?
Recraft V4 Pro currently supports image generation from text prompts, and may additionally support image-to-image transformations depending on LLM.API’s integration.
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How does Recraft V4 Pro compare to other image models like DALL·E or Midjourney?
Recraft V4 Pro is optimized for design-like, vector-friendly, stylized outputs, while models like DALL·E or Midjourney emphasize more general-purpose or photorealistic imagery.
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What is the typical context window for prompts sent to Recraft V4 Pro?
Recraft V4 Pro accepts relatively long text prompts, but the exact token limit depends on LLM.API’s implementation and should be checked in their documentation.
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What is Recraft V4 Pro best at?
Recraft V4 Pro excels at generating clean, stylized illustrations, branding assets, icons, and design-oriented images with strong adherence to prompt constraints.
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How is Recraft V4 Pro priced on LLM.API?
Pricing for Recraft V4 Pro is determined by LLM.API and is usually based on per-image or per-request usage; check the LLM.API pricing page.
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What latency should I expect when generating images with Recraft V4 Pro via LLM.API?
Image generation typically takes a few seconds per request, but actual latency depends on image resolution, complexity, and current LLM.API load.
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How do I call Recraft V4 Pro through the LLM.API gateway?
You select the Recraft V4 Pro model name in the LLM.API request payload and send a standard text prompt following their image-generation endpoint specification.
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Are there any notable limitations of Recraft V4 Pro?
Recraft V4 Pro may struggle with photorealistic faces, exact text rendering in images, and complex multi-scene compositions compared to specialized models.
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Can I use Recraft V4 Pro for commercial projects?
Commercial use depends on Recraft’s and LLM.API’s terms of service and licensing, so you should review both providers’ usage policies before deployment.
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