- Text Generation
Claude Sonnet 4.5 is an Anthropic large language model optimized for software development, computer use, and agentic workflows, offering strong performance on coding and reasoning tasks…
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Recraft V4 Vector
- Text Generation
Recraft V4 Vector is a text-to-vector model from Recraft that generates native SVG graphics from prompts, tailored for design-centric workflows like icons, logos, and UI elements.
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 Vector?
Recraft V4 Vector is an AI image model variant that produces scalable vector (SVG) graphics directly from text input for professional design use. It is mainly used to create clean, editable icons, logos, and branding assets, as well as minimalist UI elements that must remain crisp at any resolution. It also supports broader creative and product design pipelines where vector outputs are preferred over raster images for flexibility and print readiness. Recraft V4 Vector belongs to the Recraft V4 family of models, which evolved from earlier Recraft generations such as V3 and includes both raster and vector-focused variants.
Model capabilities
5 Core Capabilities
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Text-to-Vector Art
Generates native, editable SVG vector graphics directly from text prompts, suitable for logos, icons, characters, and illustrations.
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Prompt Interpretation
Understands complex text descriptions to control composition, style, and layout, producing outputs closely aligned with designer intent.
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Design Asset Creation
Creates production-ready design assets like branding elements, UI icons, and marketing graphics optimized for editing in vector tools.
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Raster Image Support
Alongside vector output, can also generate high-quality raster images for broader visual design and illustration workflows.
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Multilingual Typography
Renders readable text and typography in various languages within generated graphics, useful for posters, signage, and packaging.
Use cases
6 Most Valuable Use Cases
- Logo and Icon Design
- Marketing Visual Assets
- Brand System Graphics
- UI Vector Illustrations
- Infographics and Signage
- SVG Game Art Assets
Transparent pricing
Cost Comparison
LLM API offers the lowest cost and latency for Recraft V4 Vector–class image generation.
| Provider | Region | Latency | Throughput | Uptime | Input ($/1M) | Output ($/1M) | Context |
|---|---|---|---|---|---|---|---|
| LLM API BEST | Global | 450ms | 120 img/min | 99.99% | $0.0007/img | $0.0000/img | 1 img/request |
| Recraft | Global | ~650ms | ~80 img/min | 99.9% | ~$0.0012/img | $0.0000/img | 1 img/request |
| OpenAI (DALL·E-equivalent) | Global | ~900ms | ~60 img/min | 99.9% | ~$0.0200/img | $0.0000/img | 1 img/request |
| Stability AI (Stable Image Core-equivalent) | Global | ~800ms | ~70 img/min | 99.9% | ~$0.0030/img | $0.0000/img | 1 img/request |
| Replicate (Recraft-like deployment) | US East | ~1000ms | ~40 img/min | 99.5% | ~$0.0045/img | $0.0000/img | 1 img/request |
Performance benchmarks
Technical Specifications
| Metric | Recraft V4 Vector | DALL·E 3 (Vector-style) | Midjourney V6 (Vector-like) |
|---|---|---|---|
| Latency per Image | ~6s | ~8s | ~10s |
| Throughput | ~40 img/min | ~30 img/min | ~35 img/min |
| Max Resolution | ~4096×4096 | 1792×1024 | 2048×2048 |
| Price per Image | ~$0.03 | ~$0.04 | ~$0.03 |
| Supported Formats | PNG, SVG, JPG | PNG, JPG | PNG, JPG |
| Uptime | ~99.9% | ~99.9% | ~99.5% |
30-day usage via LLM API
- 2.8B
- Vector prompts processed (30 days)
- 6.4M
- API requests served (30 days)
- 410M
- Vector responses generated (30 days)
- 99.8%
- Average API uptime (30 days)
Architecture & Integration
Why Build on LLM.API?
One unified API. Every major model. Built-in reliability, cost control, and observability.
-
Intelligent Model Routing
Dynamically route each request to the best model across providers based on latency, cost, and quality—without changing your integration or redeploying code.
One endpoint, any model -
Cost-Aware Orchestration
Automatically optimize for price-performance by mixing premium and budget models, enforcing spend limits, and tracking cost per request across vendors in one place.
Max performance, minimal spend -
Resilient Fallback Flows
Keep your app online when a model or provider fails with policy-driven fallbacks, automatic retries, and graceful degradation—no bespoke error handling required.
Never fail on 500s -
End-to-End Observability
Gain full visibility into prompts, latencies, errors, and costs with centralized logs, traces, and metrics—debug and optimize your AI stack in minutes, not days.
See every token -
Task-Level Abstractions
Define tasks like chat, generation, extraction, or tools once and let LLM.API pick and configure the right models and parameters for each use case.
Think tasks, not models -
High-Throughput Batch Jobs
Process millions of records via parallelized batch APIs with automatic chunking, rate-limit management, and resumable runs—perfect for backfills and large offline workloads.
Scale to millions
Decision guide
When to Use — When NOT to Use
Use it if...
- You need to generate high-quality vector-style illustrations for branding, logos, or icons.
- You need scalable, consistent vector outputs suitable for UI assets across multiple resolutions.
- Your use case involves creating flat, stylized marketing visuals that must remain crisp when resized.
- Your use case involves programmatically generating SVG-like artwork for web or mobile applications.
- You need fast iteration on vector-based design variations from concise text prompts.
- Your use case involves batch-generating social media graphics with clean, minimal vector aesthetics.
Avoid if...
- You need a text or code LLM rather than an image-generation model.
- Your workload requires photorealistic raster images instead of crisp vector-style artwork.
- You need detailed 3D renders, animations, or video generation beyond static images.
- Your workload requires strict control over native SVG structure for advanced programmatic editing.
- You need on-device inference or fully offline deployment instead of a cloud API service.
- Your workload requires multimodal reasoning over text and images, not just image creation.
FAQ
Frequently Asked Questions
-
What is Recraft V4 Vector?
Recraft V4 Vector is an image-generation model by Recraft focused on high-quality vector-style graphics and illustrations.
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What is Recraft V4 Vector best suited for?
Recraft V4 Vector is best for generating clean, scalable vector-like artwork, logos, icons, and flat illustrations from text prompts.
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Which modalities does Recraft V4 Vector support via LLM.API?
Recraft V4 Vector supports text-to-image generation, returning raster images that emulate vector-style graphics.
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How is Recraft V4 Vector priced on LLM.API?
Recraft V4 Vector requests are billed per image generation call, with exact prices defined in your LLM.API pricing and usage dashboard.
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What is the context window of Recraft V4 Vector?
Recraft V4 Vector accepts reasonably long text prompts, but it does not expose a traditional token-based context window like chat LLMs.
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How fast is Recraft V4 Vector on LLM.API?
Typical Recraft V4 Vector generations complete within a few seconds, though latency depends on image resolution, server load, and request volume.
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How do I call Recraft V4 Vector through LLM.API?
You invoke Recraft V4 Vector by selecting its model name in the LLM.API image generation endpoint and passing your prompt and image parameters.
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How does Recraft V4 Vector compare to general-purpose image models?
Compared to general-purpose image models, Recraft V4 Vector usually produces crisper, more stylized vector-like graphics but is less suited for photorealism.
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Does Recraft V4 Vector support image-to-image editing?
Recraft V4 Vector is primarily designed for text-to-image; image-to-image or inpainting workflows may be unsupported or limited depending on LLM.API routing.
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What are the main limitations of Recraft V4 Vector?
Recraft V4 Vector may struggle with complex small text, detailed photorealistic scenes, or highly specific brand-style replication.
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