Powered by ByteDance Seed
Seedream 4.5
- Text Generation
Seedream 4.5 is ByteDance Seed’s latest high‑resolution text‑to‑image and image-editing model, optimized for photorealism, typography, and consistent characters across 2K–4K outputs.
About the model
What is Seedream 4.5?
Seedream 4.5 is a next-generation AI image generation and editing model from ByteDance Seed that produces production-ready visuals from text prompts. It is mainly used for creating high-quality commercial imagery such as posters, ads, product shots, and cinematic scenes that require sharp text rendering and designer-level composition. It is also used for workflows needing strong character and style consistency across edits, including marketing campaigns, storyboards, and fashion or branding visuals. Seedream 4.5 belongs to ByteDance’s Seedream family of image models as an upgraded successor to Seedream 4.0 with improved fidelity, prompt adherence, and consistency.
Model capabilities
5 Core Capabilities
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Text-to-Image Generation
Generates high-quality images from text prompts with cinematic aesthetics, realistic lighting, and strong adherence to complex instructions.
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Image Editing
Performs image-to-image editing, refining details, adjusting style, and preserving structure while following editing prompts and constraints.
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Multi-Image Consistency
Maintains subject identity and style across multiple reference images, supporting workflows needing coherent multi-image visual narratives.
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High-Resolution Output
Produces 2K and 4K resolution images with sharp details, suitable for posters, product visuals, and other production-grade assets.
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Typography & Layout
Renders legible text and structured layouts inside images, useful for posters, logos, UI mockups, and marketing design compositions.
Use cases
6 Most Valuable Use Cases
- E-commerce Product Visuals
- Marketing Ad Creatives
- High-Res Concept Art
- Brand Poster Design
- Social Media Campaigns
- Consistent Image Editing
Transparent pricing
Cost Comparison
LLM API offers the lowest cost and highest performance for Seedream 4.5–class models.
| Provider | Region | Latency | Throughput | Uptime | Input ($/1M) | Output ($/1M) | Context |
|---|---|---|---|---|---|---|---|
| LLM API BEST | Global | ~120ms | ~80 tps | ~99.99% | ~$0.08 | ~$0.24 | ~256K |
| ByteDance Seed | Global | ~220ms | ~35 tps | ~99.9% | ~$0.14 | ~$0.40 | ~128K |
| OpenAI | Global | ~250ms | ~30 tps | ~99.9% | ~$0.20 | ~$0.60 | ~128K |
| Anthropic | US East | ~260ms | ~28 tps | ~99.9% | ~$0.18 | ~$0.55 | ~200K |
| Google Cloud | Global | ~240ms | ~32 tps | ~99.9% | ~$0.22 | ~$0.65 | ~128K |
Performance benchmarks
Technical Specifications
| Metric | Seedream 4.5 | GPT-4o | Claude 3.5 Sonnet |
|---|---|---|---|
| Avg Latency | ~180ms | ~220ms | ~250ms |
| Context Window | 128K | 128K | 200K |
| Input Price ($/1M) | $0.70 | $5.00 | $3.00 |
| Output Price ($/1M) | $2.10 | $15.00 | $15.00 |
| Max Output Tokens | 4K | 4K | 4K |
| Throughput | ~60 tps | ~40 tps | ~35 tps |
| Uptime | 99.9% | 99.9% | 99.9% |
30-day usage via LLM API
- 7.8B
- Prompt tokens processed (30 days)
- 4.1B
- Completion tokens generated (30 days)
- 12.5M
- API requests served (30 days)
- 98.9%
- Average uptime over 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
Intelligently route each request across providers and models based on latency, cost, or performance policies. One endpoint, dynamic backends, zero code changes.
Policy-based model routing -
Cost-Aware Control
Enforce spend limits, choose cheaper model tiers automatically, and compare provider pricing in one place. Ship features without surprise bills or manual tuning.
Optimize every token -
Automatic Fallback Logic
Define failover chains so requests transparently retry on backup models or providers when timeouts, rate limits, or outages occur. No more brittle error handling.
Resilience by default -
End-to-End Observability
Trace every call with latency, cost, and model metadata across providers. Debug issues, spot regressions, and tune traffic with production-grade analytics.
Full-stack LLM telemetry -
Task-Oriented Abstractions
Call high-level tasks like chat, embed, classify, or extract instead of wiring raw model APIs. Swap providers without rewriting business logic.
APIs that match tasks -
High-Throughput Batch
Process millions of inputs efficiently with parallelized, rate-limit–aware batching across providers. Maximize throughput while keeping costs and queue times predictable.
Scale without throttling
Decision guide
When to Use — When NOT to Use
Use it if...
- You need a general-purpose LLM from ByteDance Seed for everyday chat-style applications.
- You need an assistant for drafting short marketing copy, product descriptions, or social posts.
- You need help rewriting and polishing existing English text for clarity and tone.
- Your use case involves prototyping chatbots or helpers embedded in consumer-facing products.
- Your use case involves structured prompt–response workflows that do not demand frontier-level reasoning.
- Your use case involves interactive education, explanations, and language practice in English or Chinese.
Avoid if...
- You need guaranteed frontier-tier reasoning or coding performance comparable to top closed-source models.
- You need strong, independently benchmarked safety guarantees for use in highly regulated environments.
- You need mature ecosystem support, tooling, and community resources comparable to major US providers.
- Your workload requires complete transparency of training data sources and open-weight model availability.
- You need rock-solid performance on low-resource languages beyond English and Chinese coverage.
- Your workload requires guaranteed availability via major US-centric cloud marketplaces and managed services.
FAQ
Frequently Asked Questions
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What is Seedream 4.5?
Seedream 4.5 is a large language model by ByteDance Seed focused on fast, cost-efficient text generation for general-purpose applications.
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What tasks is Seedream 4.5 best suited for?
Seedream 4.5 is best for high-volume chat, drafting, rewriting, and code assistance where speed and low cost matter more than frontier reasoning ability.
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What is the context window of Seedream 4.5?
Seedream 4.5 supports a 16K token context window, enabling it to handle moderately long conversations and documents.
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How fast is Seedream 4.5 when called through LLM.API?
Through LLM.API, Seedream 4.5 typically returns first tokens in a few hundred milliseconds, with full responses in under several seconds for normal lengths.
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What modalities does Seedream 4.5 support?
Seedream 4.5 is a text-only model, accepting text prompts and returning text completions without image or audio understanding.
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How is Seedream 4.5 priced on LLM.API?
On LLM.API, Seedream 4.5 uses a per-token pricing model with separate rates for input and output tokens, optimized for budget-sensitive workloads.
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How do I access Seedream 4.5 via the LLM.API?
You call the standard LLM.API chat or completion endpoint and select the Seedream 4.5 model name in the request payload.
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How does Seedream 4.5 compare to similar mid-tier models?
Seedream 4.5 generally trades slightly weaker complex reasoning and coding for lower latency and cost compared with larger frontier models.
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Does Seedream 4.5 support streaming responses on LLM.API?
Yes, you can enable streaming in LLM.API requests to receive Seedream 4.5 outputs token-by-token for lower perceived latency.
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What are the main limitations of Seedream 4.5?
Seedream 4.5 can underperform on very long-context reasoning, precise tool use, and highly specialized domains compared to more advanced and larger models.