Bytedance
on Orq.ai
Use ByteDance’s foundation models through a single Orq.ai API. Route models such as Doubao (and other supported ByteDance / Volcengine models) through Orq’s AI Router for chat, reasoning, coding, and multimodal workloads.
Capabilities:
Models Supported:
Seedream-4-5-251128
Seedream-4-0-250828
Provider HQ:
ByteDance, headquartered in Beijing, China.
Access Bytedance through Orq.ai’s AI Router
ByteDance’s Volcengine platform provides the Doubao family of large language models and related multimodal models, covering high‑end reasoning, general‑purpose coding, and cost‑efficient high‑volume use cases.
Orq.ai supports major ByteDance model variants (for example higher‑end Doubao chat/reasoning models and lighter, cost‑optimized tiers), with availability depending on provider access, region, and your workspace configuration.
Alibaba models available on Orq.ai
Model | Type | Context / scope | Best for | Pricing tier |
|---|---|---|---|---|
Doubao‑Max (or similar high‑end tier) | Chat / reasoning / vision | Large context (check ByteDance / Orq docs for current limits) | Complex reasoning, analysis, coding, and high‑stakes tasks where you want ByteDance’s strongest cloud model in your region | Premium – ByteDance / Volcengine standard API pricing; typically a higher‑cost tier per million tokens vs lighter Doubao options |
Doubao‑Plus / Doubao‑Pro (balanced tier) | Chat / reasoning / coding | Medium–large context (verify in ByteDance / Orq docs) | Everyday production workloads, RAG, coding, product features, and workflows that balance quality with cost and latency | Mid‑tier – standard ByteDance pricing; moderate per‑million token cost suitable for most production use cases |
Doubao‑Lite / fast tier | Chat / fast / cost‑efficient | Medium context (confirm in docs) | Fast, lower‑cost tasks such as classification, extraction, lightweight chat, routing, and high‑volume support workflows | Cost‑efficient – standard ByteDance pricing; lower per‑million token cost aimed at high‑throughput workloads |
Pricing tiers here are approximate and based on Alibaba’s public Qwen API pricing; Orq.ai may apply its own billing or BYOK mapping. Always check Orq.ai’s pricing page and your configured provider for current per‑model rates, quotas, and billing details.
Why use Bytedance through Orq.ai?
Capability | Provider / models | Direct | Through Orq.ai |
|---|---|---|---|
Chat | ByteDance chat models (for example Doubao‑Max / Plus / Lite) | Call ByteDance models directly via Volcengine or related APIs for chat, reasoning, coding, and multimodal tasks | Use ByteDance models through Orq.ai’s OpenAI‑compatible endpoint, adding routing, tracing, evals, budgets, and governance controls around each request |
Code | Doubao / ByteDance models tuned or suitable for coding | Use ByteDance directly for code generation, debugging, refactoring, and agentic coding workflows | Route coding workloads through Orq.ai, compare ByteDance models against other providers, and monitor cost, latency, and quality from one control layer |
Embeddings | Embedding providers configured in Orq.ai | ByteDance’s primary LLMs focus on chat/reasoning; embeddings may be handled by separate models or providers | Use Orq.ai to route embedding workloads to supported embedding providers while keeping ByteDance models for reasoning, generation, and agent steps |
This gives teams a practical way to use ByteDance models where they perform best while centralising routing, observability, evals, and cost controls across the wider model stack.
Pricing
ByteDance model pricing may differ depending on whether you:
connect your own ByteDance / Volcengine account (BYOK), or
use ByteDance‑hosted models billed through Orq.ai where available
Check the Orq.ai pricing page and your workspace’s provider configuration for current per‑model rates, quotas, and plan details.
Compatible frameworks and tools
Orq.ai exposes ByteDance models through:
an OpenAI‑compatible API layer, and
native SDKs and router integrations where applicable.
That means:
Popular AI frameworks (for example, OpenAI‑compatible clients and orchestration libraries) can talk to ByteDance models via Orq’s router.
Code assistants and IDE tools that support MCP or OpenAI‑compatible APIs (Cursor, VS Code, Claude Desktop, Warp, Zed, and similar tools you’ve documented) can route through Orq.ai to ByteDance, depending on model and integration configuration.
Check the Orq.ai integration docs for the latest supported frameworks and tools for ByteDance / Volcengine.
FAQs
Do I need a separate ByteDance account to use ByteDance models through Orq.ai?
You can either connect your own ByteDance / Volcengine AI account and credentials into Orq.ai or, where available, use ByteDance‑hosted models billed via Orq.ai; the exact options depend on your Orq plan, region, and how ByteDance is configured in your workspace. In both cases, Orq.ai gives you one place to manage routing, observability, and cost controls around that ByteDance model usage.
Can I route only some workflows to ByteDance and others to different providers?
Yes. You define routes per workflow in Orq.ai and decide which ones should use ByteDance‑hosted models vs other providers, so you can reserve ByteDance for specific regions, latency requirements, or workloads while sending other tasks to different models.
Does using ByteDance through Orq.ai add latency?
Orq.ai is designed as a lightweight router layer, so the added overhead is small compared to the model’s own latency. You can use routing policies, caching, and provider selection to keep end‑to‑end performance within your targets.
Alternatives to
Bytedance
Anthropic
Use Claude Opus 4.7, Sonnet 4.6, Haiku 4.5, and other supported Claude models through one API.
Chat
Code
Reasoning
Vision
Models:
claude-opus-5
claude-sonnet-5
claude-fable-5
Open AI
Use OpenAI's foundation models through a single Orq.ai API. Route models such as GPT-4.1, GPT-4.1-mini, o3-mini, and GPT-4o-class models via Orq's AI Router for chat, reasoning, coding, and multimodal workloads.
Chat
Code
Image Generation
Reasoning
Speech
Vision
Models:
gpt-5.5 (EU)
gpt-5.6-luna (EU)
gpt-5.6-sol (EU)
Google AI
Use Google’s Gemini models through a single Orq.ai API. Route models such as Gemini 3.1 Pro, Gemini 2.5 Flash, and Gemini 2.0 Flash‑Lite via Orq’s AI Router for chat, reasoning, coding, and multimodal workloads.
Chat
Code
Embeddings
Image Generation
Reasoning
Speech
Vision
Models:
gemini-3.5-flash-lite (Gemini API)
gemini-3.6-flash (Gemini API)
Gemini 3 Pro Image
AWS
Use AWS Bedrock’s foundation models through a single Orq.ai API. Route models such as Amazon Nova, Amazon Titan Text, and compatible third‑party models exposed via Bedrock through Orq’s AI Router for chat, reasoning, coding, and multimodal workloads.
Chat
Code
Embeddings
Reasoning
Vision
Models:
eu.anthropic.claude-opus-5
global.anthropic.claude-opus-5
us.anthropic.claude-opus-5
