
Doubao Seed API 開放 ByteDance 完整的 Seed 系列,從旗艦 Seed 2.1 Pro,到專為程式碼打造的 Code Preview,以及高效率的 Lite 與 Mini 等級。每個模型都支援深度推理、agentic planning 與儲存庫規模的程式碼開發,並提供串流與共用的 256K context。Atlas Cloud 透過單一 endpoint 提供所有模型服務,採用 pay-as-you-go 計價,價格自每百萬 tokens $0.1 起,並提供 Day-0 access。立即開始建置。
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Doubao Seed 系列:一套完整的語言模型組合,涵蓋前沿推理到高吞吐量推論。
| Model | Tier | 最適合 | Context | Max Output |
|---|---|---|---|---|
| Doubao Seed 2.0 Pro | 旗艦 | 複雜推理、agents、最困難的任務 | 256K | 131K |
| Doubao Seed 2.0 Code Preview | Code(Preview) | 程式碼生成、重構、repo 規模作業 | 256K | 131K |
| Doubao Seed 2.0 Lite | 均衡 | 需要以較低成本取得高品質的生產環境應用程式 | 256K | 131K |
| Doubao Seed 2.0 Mini | 效率 | 高流量、對延遲敏感、低成本推論 | 256K | 131K |
| Doubao Seed 1.8 | 上一代旗艦 | 穩定、經驗證的通用推理 | 256K | 131K |
| Doubao Seed 1.6 Flash | 上一代高速版 | 快速回應、即時 UX | 256K | 131K |
| Doubao Seed 1.6 | 上一代基礎版 | 具成本效益的通用任務 | 256K | 65K |
Doubao Seed API 將 ByteDance 完整的 Seed 系列整合在同一把 OpenAI 相容金鑰之下,涵蓋旗艦推理、專用程式開發模型,以及成本最佳化的 Lite 與 Mini 分級;所有模型皆共享 256K-token 上下文視窗,並採用隨用隨付計價,價格自每百萬 token $0.1 起。

旗艦級 Seed 2.1 Pro 分級以高階推理、程式開發與企業級問題解決能力,成為整個系列的核心,並支援 256K-token 上下文。它能在單一請求中維持長篇、多步驟的思考鏈,因此困難的分析與規劃任務不會因截斷而中斷。當最艱鉅工作負載的正確性比原始成本更重要時,就適合選用它;輸入 token 價格為每百萬 $0.9。

Seed 2.0 Code Preview 專為程式開發代理、儲存庫理解與日常軟體工程工作最佳化。同樣的 256K 視窗讓它能在撰寫新函式、重構模組或解釋陌生邏輯之前,先通讀整個程式碼庫。它也可透過 Atlas Cloud Skills 與 MCP Server 接入 AI 程式開發助理,輸入 token 價格為每百萬 $0.5。

需要生產級品質,但不想支付旗艦級價格?Seed 2.0 Lite 以每百萬輸入 token $0.25 的價格,提供接近旗艦級的輸出;而 Seed 2.0 Mini 則降至僅 $0.1,適合高流量分類、路由與輕量代理步驟。由於整個系列共用同一介面,你可以將每個請求路由到仍能達標的最低成本分級。

系列中的每個模型都具備 256K-token 上下文視窗,單次呼叫即可容納數百頁文字。你可以輸入長文件、多檔案儲存庫或冗長的對話歷史,它都能保留完整脈絡。回應會透過標準 server-sent events 逐 token 串流傳回,因此即使處理大型工作,你的介面仍能保持即時反應。

計價方式完全採隨用隨付,依 token 計費,無需訂閱。Prompt caching 可大幅降低重複上下文的成本;Seed 2.0 Mini 的快取輸入價格僅為每百萬 token $0.02。更長的 prompt 會進入公開明確的較高費率分級,因此當工作負載從原型擴展到生產環境時,支出仍可預測。

你應該標準化採用單一分級,還是混用多個分級?一把 OpenAI 相容金鑰即可存取所有 Doubao Seed 模型,從旗艦 2.1 Pro、低成本 Mini,到上一代 1.6 系列皆可使用。現有 OpenAI SDK 程式碼只需替換 base-URL 與金鑰即可運作,因此你可以在同一個應用程式中,將困難請求送往 Pro,並將低成本子步驟交給 Mini。
Feed the identical prompt to three models on the Doubao Seed API and compare how each one turns a single instruction into a working, self-contained HTML page.
Build a complete single-file HTML page — one .html document with all CSS and JavaScript inlined, zero external dependencies, no CDN links, no web fonts, no image files or data URIs. Every visual must be drawn procedurally at runtime with the Canvas 2D API or inline SVG; there must be no bitmaps, photographs, or emoji anywhere. The page is a real-time generative canvas titled something like "Harvest Field — Aerial Geometry Studio," and the entire concept is a god's-eye, top-down view of a cultivated farmland that the user shapes with sliders while a single pixelated combine harvester crawls across it, wiping ordered stripes out of raw crop — the quiet, satisfying moment of order being cut from chaos. Composition and rendering: fill the whole viewport with a regular rectangular grid of rye-like field plots laid out in flat-vector shapes with a subtle isometric / faux-2.5D lift, so each plot reads as a low block, not a flat rectangle. Light the scene as a single directional dusk sun raking in from one corner (warm, low-angle); every plot and the harvester must cast a long soft shadow in the opposite direction to reinforce the geometric, blocky solidity of the field. The palette is a restrained, tasteful earth-tone family: mustard yellow, ochre, olive green, and a single accent of scorched tilled burnt-umber for freshly turned soil — no neon, no pure primaries, keep it high-end and muted. Overall style is flat vector meets isometric micro-relief, precise and architectural. The living behavior: within each plot, render fine drill-seeding rows (thin parallel lines) whose density is adjustable. One pixelated combine harvester — a small blocky sprite drawn from a few rectangles — is the ONLY moving element and the only thing that breaks the grid's symmetry. It advances slowly along either a spiral inward path or a serpentine boustrophedon (回字 / back-and-forth) route across the plots. As it moves it must "erase" the standing crop directly in its swath and leave behind real-time harvest stripes — alternating light and dark cut bands, like a mown lawn or a real combine's header trail — permanently painted onto the field until reset. The harvest is a continuous, self-running animation via requestAnimationFrame; watching it fill the field should feel calm and hypnotic. Interactivity — all controls are sliders (plus a couple of small toggles/buttons) in a clean, minimal side or bottom panel, and every one must respond live without a page reload: a slider for number of field plots (grid resolution, e.g. 3×3 up to 12×12), a slider for drill-seeding row density, a slider for crop hue (shifting the standing crop across the mustard-ochre-olive range), a slider for harvest progress or harvester speed, and a toggle to switch the harvester's path between spiral and boustrophedon. Provide a subtle Reset/Replant button that regenerates the field and restarts the pass. Changing plot count or density should regenerate the layout smoothly; dragging hue should retint in real time. Make it fully responsive so the grid and shadows recompute on window resize, keep the frame rate smooth, and ensure the code is clean and self-contained so it opens correctly by double-clicking the file. This is neither a game nor a dashboard — it is a generative art instrument. Push the procedural geometry, the path animation, and the parameter linkage as far as they go; the quality of the isometric shading, the long dusk shadows, and the crispness of the harvest stripes are what should make this render stand out.
Generated with Doubao Seed 2.1 Pro on Atlas Cloud
Generated with DeepSeek V4 Pro on Atlas Cloud
Generated with Doubao Seed 2.0 Pro on Atlas Cloud
Build a single self-contained HTML file (inline CSS and JavaScript only — absolutely no external libraries, CDNs, frameworks, fonts, or image URLs) that renders an interactive, physically-plausible mechanical pocket-watch movement teardown bench, drawn entirely with SVG and/or Canvas. The page must open and run correctly by double-clicking it in any modern browser, with everything computed and animated in real time. THE SCENE. A top-down view of an exploded brass watch movement laid out on a workshop bench. Render, as living vector art, a mainspring barrel, a stacked gear train (barrel wheel → center wheel → third wheel → fourth wheel → escape wheel), a pallet fork that rocks back and forth, a balance wheel with a spiraling hairspring, and hour/minute/second hands sweeping over a subtle chapter ring. Draw real gear teeth (involute-style flanks, not plain circles), correct meshing at the pitch circles, and visible arbors, jewels, bridges, and screws. The whole assembly is composed concentrically around the movement core; the control panel is tucked into a dark corner. THE MECHANICS (this is the point — make it truly simulate, not fake). Model the gear train with real gear ratios: each wheel's angular velocity equals its neighbor's times the negative ratio of their tooth counts, so meshing wheels visibly counter-rotate at proportional speeds and teeth interlock without overlapping or sliding. The escapement must actually tick: the escape wheel advances one tooth at a time in discrete steps, locked and released by the oscillating pallet fork, which is driven by the balance wheel swinging at a fixed beat. Each release ("tick") produces a crisp step in the escape wheel and an audible tick using the Web Audio API (synthesized, no audio files). The seconds hand advances in beat with the escapement; minute and hour hands derive from it through the gear ratios. Drive the animation with requestAnimationFrame and real elapsed time so timing stays accurate. THE INTERACTIONS (all must respond live). - A draggable winding crown/knob: drag it (mouse or touch) to wind the mainspring — a wind-up gauge fills and the spring coil visibly tightens. Release to let stored energy discharge, powering the train; the movement runs until the spring unwinds, then coasts to a stop. - A "rate" slider that scales the beat/running speed so you can watch it tick slowly or race. - An "explode" slider that continuously separates the stacked components along their axes from fully assembled to a fanned-out exploded diagram, with smooth interpolation, connector guide-lines between separated parts, and everything still rotating correctly at any explosion level. - Hover (or tap) any component to act like a jeweler's loupe: highlight that part, dim the rest, and float a labeled callout with the part's name and a one-line function description. - Buttons: Wind, Release, Reset. THE LOOK. Realistic watchmaking-workshop industrial aesthetic: warm aged brass, distressed steel-grey, deep ink-black background, crisp metallic highlights, finely etched gear teeth and beveled bridges. Simulate a single shaft of window light raking in from the upper-left across the bench so parts cast soft elongated shadows, and let specular highlights travel along the gear faces as they turn. Use gradients, filters, and subtle grain for depth. Clean, legible HUD-style controls and labels in the dark corner. REQUIREMENTS. Everything in one .html file; responsive layout that scales to the viewport; smooth 60fps animation; no placeholder graphics — the movement must be procedurally drawn and genuinely mechanically coupled so that a capable model produces a watch that really winds, meshes, and ticks, while a weak one collapses into static spinning circles. Add brief inline comments naming the gear ratios and the escapement logic.
Generated with Doubao Seed 2.1 Pro on Atlas Cloud
Generated with DeepSeek V4 Pro on Atlas Cloud
Generated with Doubao Seed 2.0 Pro on Atlas Cloud
從 coding agents 與儲存庫規模重構,到即時聊天與高流量管線,Doubao Seed API 的各級方案可透過一組 OpenAI 相容金鑰,接入正式環境堆疊的每一層。
Seed 2.0 Code Preview 針對 coding agents 與儲存庫理解進行調校,可在單次呼叫中讀取 256K-token 的 context。透過 Atlas Cloud Skills 將其接入 IDE copilots、PR reviewers 與重構 bots。
讓 Seed 2.0 Pro 負責規劃與工具編排,再將低成本的子步驟委派給 Mini,讓每次執行的成本更可預測。這種分工可支援研究 agents、工作流程自動化,以及串接大量呼叫的管線。
需要為分類、標記或結構化擷取發出數千次呼叫嗎?Seed 2.0 Mini 專為邊緣情境與成本敏感的自動化而建置,讓大規模使用時的 per-token 經濟效益更具優勢。
當任務橫跨長篇合約、研究論文或完整知識庫時,Seed 2.0 Pro 可在其 256K-token 視窗內進行深度推理。團隊可用它對大型文件進行分析、擷取與問答。
一組 OpenAI 相容金鑰即可存取 Doubao Seed API 的所有層級,從旗艦 Pro 到高效率 Mini。將困難請求路由至最強模型,並將高流量工作導向最低成本的模型,以控管支出。
Seed 2.1 Turbo 與 Seed 1.6 Flash 專為超低延遲、高吞吐量與串流回應而設計。即使在大量請求下,也能讓聊天機器人、即時助理與互動式產品 UX 保持靈敏回應。
了解 Doubao Seed API 與 Atlas Cloud 上可用的領先推理及程式碼模型,在上下文視窗、輸出上限與透明的每 token 計價方面的差異。
| 模型 | 提供者 | 上下文視窗 | 最大輸出 | 價格(每 1M tokens 的輸入/輸出) |
|---|---|---|---|---|
| Doubao Seed 2.1 Pro | ByteDance | 256K | 256K | $0.90 / $4.50 |
| Doubao Seed 2.0 Code Preview | ByteDance | 256K | 128K | $0.50 / $3.00(≤128K 提示詞),$1.00 / $6.00(>128K) |
| Doubao Seed 2.1 Turbo | ByteDance | 256K | 256K | $0.45 / $2.25 |
| DeepSeek V4 Pro | DeepSeek | 1M | 384K | $1.74 / $3.45 |
| Kimi K2.7 Code | Moonshot AI | 256K | 256K | $0.95 / $4.00 |
| GLM 5.2 | Zhipu AI | 1M | 128K | $1.40 / $4.40 |
| Qwen3.6 Plus | Alibaba Qwen | 1M | 64K | $0.50 / $3.00(≤256K 提示詞),$2.00 / $6.00(>256K) |
幾分鐘即可上手 — 按照以下簡單步驟,透過 Atlas Cloud 平台整合和部署模型。
在 atlascloud.ai 註冊並完成驗證。新用戶可獲得免費額度,用於探索平台和測試模型。
將先進的 Seed 模型與 Atlas Cloud 的 GPU 加速平台相結合,提供無與倫比的效能、可擴展性和開發體驗。
低延遲:
GPU 最佳化推理,實現即時回應。
統一 API:
一次整合,暢用 Seed、GPT、Gemini 和 DeepSeek。
透明定價:
按 Token 計費,支援 Serverless 模式。
開發者體驗:
SDK、資料分析、微調工具和模板一應俱全。
可靠性:
99.99% 可用性、RBAC 權限控制、合規日誌。
安全與合規:
SOC 2 Type II 認證、HIPAA 合規、美國資料主權。
Doubao Seed API 是 Atlas Cloud 為 ByteDance Seed 系列大型語言模型提供的統一端點,專為推理、程式設計與高流量代理式工作負載打造。它涵蓋旗艦級 Seed 2.1 Pro 與 Seed 2.0 Pro、專用的 Seed 2.0 Code Preview、具成本效益的 Lite 與 Mini 等級,以及成熟可靠的 Seed 1.8 與 1.6 世代。只要一把 OpenAI 相容金鑰即可存取所有模型,讓你透過單一介面為每個任務匹配最合適的等級。
此系列涵蓋從前沿推理到高吞吐量推論的各種需求。Seed 2.1 Pro 與 Seed 2.0 Pro 可處理最困難的推理與代理任務,Seed 2.1 Turbo 主打低延遲回應,而 Seed 2.0 Code Preview 則專精於軟體工程。對成本敏感的流量可交由 Seed 2.0 Lite 與 Mini 處理;較早的 Seed 1.8 與 1.6 checkpoint 也仍可使用,適合重視穩定且可預測行為的團隊。
在 Atlas Cloud 註冊、產生一把 API key,並將你現有的 OpenAI SDK 指向 Atlas Cloud base URL 即可。計費採用隨用隨付,提供透明的 per-token pricing,無需訂閱;新的 Seed 版本也會在 Day-0 開放存取。今天就開始建置吧。
是的。每個 Doubao 模型都使用標準 chat-completions 格式,支援 temperature、top_p、frequency 與 presence penalties、最多四組 stop sequences,以及 SSE streaming。現有 OpenAI SDK 程式碼只要更換 base URL 與 key 即可運作,不需要重寫請求邏輯。
此系列所有模型都提供 256K-token (262K) context window,適用於大型文件與長對話。最大輸出依等級而定:Seed 2.1 模型最高可達 262K tokens,Seed 2.0 等級為 131K,較早的 1.8 與 1.6 checkpoint 則為 65K 或 32K。
Atlas Cloud 提供 Python、JavaScript、Swift、Kotlin、Java 與 Dart 的 SDK 存取。你也可以透過 Atlas Cloud Skills 與 MCP Server 將模型連接到 AI coding assistants;這對基於 Seed 2.0 Code Preview 建置、具備 repo-aware 能力的代理特別方便。
定價採用 per token 隨用隨付,無需訂閱。標準費率從 Seed 1.6 Flash 每百萬 input tokens $0.075、Seed 2.0 Mini $0.1 起,最高到旗艦級 Seed 2.1 Pro 的 input $0.9、output $4.5。由於所有等級都在同一把 key 後方,你可以將每個請求路由到符合品質門檻的最便宜模型,進而調整支出。
當然可以。單一 Atlas Cloud key 即可存取所有 Seed 世代,因此常見做法是將困難請求路由到 Seed 2.1 Pro 或 Seed 2.0 Pro,並把高流量的子步驟委派給 Mini 或 Lite。這讓你能在關鍵處維持品質,同時控制每次執行的成本。
ByteDance 將 Seed 2.1 與 2.0 模型定位為可在推理與程式設計任務上對標美國前沿系統;獨立評測也指出它們在高難度數學與軟體工程方面表現具競爭力。對開發者而言,實際吸引力在於 Doubao Seed API 以低廉且透明的 per-token rate 提供這一級別的能力,價格遠低於多數西方旗艦模型。
指南、教學與產品動態,助你充分發揮 Atlas Cloud 的價值。