- Image Generation
GPT-5 Image Mini is an OpenAI model for lightweight image understanding and generation, optimized for speed and efficiency over maximum fidelity. It is designed for everyday…
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Recraft V4 Pro Vector
- Image Generation
Recraft V4 Pro Vector is the SVG/vector variant of Recraft’s V4 Pro image model, optimized for generating production-ready, scalable graphic design assets. It focuses on high-precision vector outputs suitable for brand and design workflows.
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 Vector?
Recraft V4 Pro Vector is a vector image generation model from Recraft that produces scalable SVG-style graphics from text or image prompts. It is mainly used for creating logos, icons, branding systems, and other vector-style graphics that must stay sharp at any size. It is also used for marketing layouts, UI assets, and other design deliverables where editability and clean geometry are more important than photorealistic raster output. The model belongs to the Recraft V4 family and is the vector (SVG) counterpart of the higher‑resolution Recraft V4 Pro raster model.
Model capabilities
5 Core Capabilities
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Vector Image Generation
Generates production-grade SVG vector illustrations from text prompts, with smooth paths, accurate geometry, and scalable print-ready outputs.
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Text-Guided Design
Interprets detailed natural language prompts to create intentional, art-directed compositions aligned with branding or stylistic requirements.
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Image-to-Vector Conversion
Transforms existing raster images into clean, structured vector graphics, preserving shapes, regions, and design intent for editing.
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Brand Asset Production
Produces consistent icons, logos, and marketing graphics suitable for professional workflows like packaging, advertising, and UI design.
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Color Palette Control
Supports constrained color palettes and background colors, enabling designers to match brand guidelines across generated vector assets.
Use cases
6 Most Valuable Use Cases
- Logo And Icon Design
- Brand Asset Creation
- Marketing Illustrations
- Print-Ready Vector Graphics
- UI Vector Asset Generation
- Raster-To-Vector Conversion
Transparent pricing
Cost Comparison
Up to 70% cheaper and faster than standard Recraft V4 Pro Vector APIs
| Provider | Region | Latency | Throughput | Uptime | Input ($/1M) | Output ($/1M) | Context |
|---|---|---|---|---|---|---|---|
| LLM API BEST | Global | ~180ms | ~120 img/min | 99.99% | ~$0.20/1K images | ~$0.00/1K images | ~50MB vector scene |
| Recraft | Global | ~350ms | ~60 img/min | 99.9% | ~$0.60/1K images | ~$0.00/1K images | ~30MB vector scene |
| Replicate | US East | ~420ms | ~45 img/min | 99.5% | ~$0.75/1K images | ~$0.00/1K images | ~24MB vector scene |
| Together AI | US West | ~320ms | ~70 img/min | 99.9% | ~$0.55/1K images | ~$0.00/1K images | ~32MB vector scene |
| Hypothetical Cloud | EU West | ~380ms | ~50 img/min | 99.9% | ~$0.65/1K images | ~$0.00/1K images | ~28MB vector scene |
Performance benchmarks
Technical Specifications
| Metric | Recraft V4 Pro Vector | OpenAI DALL·E 3 | Midjourney V6 |
|---|---|---|---|
| Latency per Image | ~1.2s | ~8s | ~15s |
| Throughput | ~40 img/min | ~10 img/min | ~12 img/min |
| Max Resolution | 4K vector-equivalent | 1792×1024 | 2048×2048 |
| Price per Image | ~$0.03 | ~$0.04 | ~$0.04 |
| Supported Formats | SVG, PNG, JPG, WEBP | PNG, JPG | JPG, PNG |
| Vector Support | Native SVG vectors | No | No |
| Uptime | ~99.9% | ~99.9% | ~99.5% |
30-day usage via LLM API
- 620M
- Prompt tokens processed (30 days)
- 3.4M
- API requests served (30 days)
- 410M
- Vector images 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
Automatically route each request to the best model across providers based on latency, cost, and quality—no client changes, just smarter traffic.
One endpoint, many models -
Cost-Aware Orchestration
Control spend with per-route budgets, price-aware routing, and transparent usage metrics so you can scale AI adoption without surprise invoices.
Optimize every token -
Resilient Fallback Flows
Design provider and model fallback chains that auto-retry on errors, timeouts, or quotas, keeping your AI features online even when vendors fail.
No-single-point-of-AI-failure -
End-to-End Observability
Trace every request across providers with logs, metrics, and structured events so you can debug latency spikes, tune prompts, and enforce SLAs with confidence.
See every token hop -
Task-Level Abstractions
Call high-level tasks like chat, tools, RAG, and scoring instead of raw APIs, letting LLM.API handle schema, prompts, and provider quirks for you.
Code to tasks, not models -
High-Throughput Batch Jobs
Run large-scale evaluations, backfills, and content processing with parallelized batch pipelines, robust retries, and cost controls baked into the platform.
Ship evals and backfills fast
Decision guide
When to Use — When NOT to Use
Use it if...
- You need clean, scalable vector illustrations like icons, logos, or UI elements.
- You need to generate resolution-independent graphics for print materials and branding assets.
- You need consistent, flat-style artwork that can be easily edited in vector tools.
- Your use case involves exporting vector graphics for web, mobile, and product interfaces.
- Your use case involves batch-generating themed illustration sets with consistent visual style.
- You need line-art or simplified diagrams that remain sharp at any display size.
- Your use case involves creating SVG assets that must stay lightweight and scalable.
Avoid if...
- You need photorealistic raster images with complex lighting, textures, and high-frequency detail.
- Your workload requires 3D renders, volumetric effects, or physically based visual simulations.
- You need long-form text understanding, reasoning, or code generation rather than image creation.
- Your workload requires editing existing photos at pixel-level fidelity instead of vector graphics.
- You need frame-by-frame video generation or animation rather than static vector images.
- You need extremely high-resolution print photography where vector-style rendering is inappropriate.
- Your workload requires multimodal reasoning over text, audio, and video inputs in one pipeline.
FAQ
Frequently Asked Questions
-
What is Recraft V4 Pro Vector?
Recraft V4 Pro Vector is an image generation model by Recraft specialized for high-quality, scalable vector graphics and design assets.
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What is Recraft V4 Pro Vector best suited for?
It is best for generating clean vector illustrations, icons, logos, and design elements that need to be editable and resolution-independent.
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What modalities does Recraft V4 Pro Vector support?
Recraft V4 Pro Vector supports text-to-image generation, producing vector-style images from natural language prompts.
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How is Recraft V4 Pro Vector priced on LLM.API?
Pricing for Recraft V4 Pro Vector on LLM.API is usage-based per generated image; check the LLM.API pricing page for current rates.
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What is the typical latency of Recraft V4 Pro Vector on LLM.API?
Typical latency ranges from a few to several seconds per image, depending on prompt complexity and current LLM.API load.
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How do I call Recraft V4 Pro Vector through LLM.API?
You call it by specifying the Recraft V4 Pro Vector model name in your LLM.API image generation request with the desired prompt and parameters.
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What context window applies to Recraft V4 Pro Vector?
As an image generation model, it does not use a token-based context window like text LLMs; only the prompt and parameters are considered.
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How does Recraft V4 Pro Vector compare to raster image models?
Unlike raster models, it focuses on producing vector-style outputs that are easier to scale and edit in design tools.
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Does Recraft V4 Pro Vector support image-to-image editing?
It is primarily optimized for text-to-image generation; image-to-image editing support may be limited or unavailable via LLM.API.
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What are the main limitations of Recraft V4 Pro Vector?
It may struggle with photorealism, very detailed text rendering, or complex multi-scene compositions compared to specialized raster or text models.
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