Developer
ByteDance

Doubao Seed 2.0 Code

ByteDance's dedicated coding model, released February 14, 2026 with the Seed 2.0 family. Combines programming and reasoning with multimodal perception.

Released
Feb 14, 2026
Type
Code Model
Context window
256K tokens
License
Proprietary
On this page

Overview

Doubao Seed 2.0 Code is ByteDance's dedicated coding model. It shipped on February 14, 2026, the same day as the rest of the Seed 2.0 family — ByteDance's launch post describes the release as three general-purpose agent models, Pro, Lite, and Mini, "along with a dedicated Code model."

It has not been superseded. When ByteDance released Seed 2.1 on June 23, 2026, the launch covered two SKUs — Seed 2.1 Pro and Seed 2.1 Turbo — and nothing else. There is no Seed 2.1 Code. Seed 2.0 Code remains the specialist coding model of the Seed line, and the model ByteDance ships inside its own AI IDE.

The design goal is agentic software work rather than autocomplete: the TRAE team frames the model around "more rational decomposition and updating of task plans," which is planning language, not completion language. Unusually for a coding model, it inherits the Seed 2.0 family's multimodal perception — it can read a chart, a screenshot, or a diagram as part of the same request that produces code.

Capabilities

ByteDance's and the TRAE team's stated claims, without embellishment:

  • Stronger programming and reasoning abilities than the preceding Seed coding models.
  • Agentic task planning: "more rational decomposition and updating of task plans" — the model breaks work down and revises the plan as it executes.
  • Multimodal perception: excellent performance in perceiving non-text inputs, carried over from the Seed 2.0 base.
  • High-precision text extraction: reading text out of images and documents accurately.
  • Chart understanding: interpreting graphs and data visualisations.
  • Visual knowledge and reasoning: reasoning over visual content, not merely describing it.

In TRAE, the supported function set is summarised as "reasoning + image understanding" — the model thinks, and it sees.

Technical Specifications

ByteDance publishes little about this model's internals, but Volcano Engine does publish its operational limits. We list only vendor-stated facts.

  • Family: Seed 2.0
  • Role: dedicated coding model (the only specialist variant in the Seed 2.0 lineup)
  • Ark model ID: doubao-seed-2-0-code-preview-260215 — note that it still carries a -preview suffix
  • Modalities: text and image input; text output
  • Availability: Volcano Engine (Ark) API; TRAE China Edition
  • Weights: closed
  • Context window: 256K tokens
  • Max input: 224K tokens
  • Max output: 128K tokens (default 4K)
  • Max chain-of-thought: 128K tokens
  • Rate limits: 30,000 RPM, 5,000,000 TPM — flagged by Volcano Engine as 非刚性保障 ("not a rigid guarantee")
  • Parameter count: Not published by ByteDance.
  • Knowledge cutoff: Not published by ByteDance.

Volcano Engine's model list states these as 上下文窗口: 256k / 最大输入: 224k / 最大回答(默认 4k): 128k / 最大思维链: 128k — "context window: 256k / max input: 224k / max output (default 4k): 128k / max chain-of-thought: 128k."

The predecessor endpoint, doubao-seed-code-preview-251028, is marked 即将下线 ("to be taken offline") in the same list, and carries lower limits: a 32K max output and a 32K chain-of-thought, at 5,000 RPM.

Not to be confused with Seed Diffusion

ByteDance Seed separately maintains Seed Diffusion Preview, which its model directory describes as "an experimental diffusion language model specialized for code generation [that] achieves an inference speed of 2,146 token/s." This is a distinct research artefact. It is not a sub-engine, mode, or feature of Doubao Seed 2.0 Code, and the two are routinely conflated in secondary coverage.

Use Cases

  • Agentic feature implementation: multi-step work where the model must plan, execute, observe results, and revise the plan.
  • Bug diagnosis and repair: tracing a defect across files and proposing a fix.
  • Refactoring: restructuring code while preserving behaviour.
  • Reading a design and writing the code: because the model accepts images, a mockup, diagram, or screenshot can be part of the prompt.
  • Chart and document driven development: extracting figures from a chart or a scanned spec and turning them into logic.
  • In-IDE assistance via TRAE: the model's native home, in both SOLO (autonomous) and IDE (interactive) modes.
  • UI and screenshot debugging: feeding a rendered screenshot back to the model to reason about what went wrong visually.

Performance / Benchmarks

ByteDance has not published benchmark scores for Doubao Seed 2.0 Code.

That is the honest state of the record. Claims that the model achieves a state-of-the-art result on SWE-bench Verified, or that it ranks first on that leaderboard, appear only in aggregator write-ups and cannot be traced to a ByteDance publication or to a leaderboard entry. Likewise for the frequently quoted "62.7% lower usage cost" figure. We omit all of them rather than launder them into a specification table.

For a sense of where the Seed family sits on public coding leaderboards, the closest primary data point is from the Seed 2.1 launch post, where ByteDance reports that the Seed 2.1 Preview build — published to Arena as Seed-2.1-Pro-Preview — ranks 8th on the third-party Code Arena: Frontend leaderboard with a score of 1539, taking a top-10 position in 5 of 7 frontend subcategories. That is a different model, and we present it only as context.

Limitations

  • No published benchmarks. There is no vendor-reported score for this model on any public coding evaluation. You are buying on reputation and your own evals. (The Seed2.0 Model Card benchmarks Seed2.0 Pro, not Code.)
  • No published parameter count. The context window, output limit and rate limits are published; the architecture and parameter count are not.
  • Still labelled a preview. The current Ark endpoint is doubao-seed-2-0-code-preview-260215, nearly five months after launch.
  • Input-length price steps. Cost per token triples between the cheapest and dearest tier, so a long-context agent loop can be far more expensive than a naive per-token estimate suggests.
  • No open weights. No self-hosting, no offline use, no local fine-tuning.
  • TRAE access is China Edition only. The free in-IDE access ByteDance advertises is for the Chinese edition of TRAE.
  • Documentation asymmetry. Chinese-language documentation is substantially more complete than the English material.
  • Superseded base model. The model sits on the Seed 2.0 generation while the general-purpose lineup has moved to Seed 2.1. ByteDance has not stated whether a refresh is planned.
  • Content policy constraints. As a Chinese-market model, it operates under content rules that differ from those governing US-hosted models.
  • Third-party harness compatibility is unconfirmed. Claims of drop-in compatibility with Claude Code, Cursor, Aider, or OpenDevin are not ByteDance statements.

Pricing & Access

ByteDance publishes a rate card, in CNY, on Volcano Engine's 模型价格 (model pricing) page. Pricing for doubao-seed-2.0-code is tiered by input length, where the tier boundaries are given in thousands of tokens.

Under 在线推理(常规)— "online inference (standard)":

条件 (condition)InputCache hitCache storageOutput
输入长度 [0, 32] — input ≤ 32K¥3.2¥0.64¥0.017¥16.0
输入长度 (32, 128] — 32K–128K¥4.8¥0.96¥0.017¥24.0
输入长度 (128, 256] — 128K–256K¥9.6¥1.92¥0.017¥48.0

Input, cache-hit and output rates are 元/百万token (yuan per million tokens); cache storage is 元/百万token/小时 (yuan per million tokens per hour).

Under 批量推理 ("batch inference"), the published input and output rates are exactly half the standard ones — ¥1.6 / ¥8.0, ¥2.4 / ¥12.0 and ¥4.8 / ¥24.0 across the same three tiers — while cache-hit rates are unchanged and no cache-storage charge applies.

What is confirmed:

  • TRAE China Edition — Doubao Seed 2.0 Code is free to use, in both SOLO mode (autonomous agent) and IDE mode (interactive editor).
  • Volcano Engine (Ark) — metered API access, at the rates above. This is the only programmatic route.
  • Doubao app — ByteDance states that "the Seed 2.0 Pro and Code models have been launched on the Doubao App and TRAE."

Rates change; confirm against the Volcano Engine pricing page before budgeting.

Ecosystem & Tools

  • TRAE — ByteDance's AI-native IDE and this model's primary home. Runs Seed 2.0 Code free in the China Edition, in SOLO and IDE modes.
  • Volcano Engine (Ark) — the API platform serving the full Seed lineup.
  • Seed 2.1 (Doubao) — the current general-purpose flagship, which also handles coding but is not the dedicated code model.
  • Seed1.5-VL — ByteDance Seed's standalone vision-language model.
  • Seed Diffusion Preview — a separate experimental diffusion language model for code generation, reported at 2,146 token/s.
  • Doubao app — carries the Seed 2.0 Pro and Code models for consumers.

Community & Resources

Frequently Asked Questions

February 14, 2026 — the same day as the rest of the Seed 2.0 family. ByteDance's launch post describes the lineup as three general-purpose agent models (Pro, Lite, Mini) "along with a dedicated Code model." Dates in April 2026 that appear in some coverage are incorrect.
No. Seed 2.1, released June 23, 2026, shipped as exactly two SKUs — Seed 2.1 Pro and Seed 2.1 Turbo. ByteDance did not ship a Seed 2.1 Code variant, and Doubao Seed 2.0 Code remains the dedicated coding model of the Seed line.
ByteDance and the TRAE team describe stronger programming and reasoning ability, with "more rational decomposition and updating of task plans" — that is, agentic planning. It also carries the Seed 2.0 family's multimodal perception, with stated strengths in high-precision text extraction, chart understanding, and visual knowledge and reasoning.
Two places. Through the Volcano Engine (Ark) API, and inside TRAE, ByteDance's AI IDE. In the TRAE China Edition it is free to use, in both SOLO and IDE modes.
It is free to use inside the TRAE China Edition, in both SOLO and IDE modes. API access through Volcano Engine is metered at published CNY rates that step up with input length, starting at ¥3.2 per million input tokens and ¥16.0 per million output tokens for requests under 32K tokens of input.
256K tokens. Volcano Engine's model list publishes, for doubao-seed-2-0-code-preview-260215: 上下文窗口 256k (context window 256K), 最大输入 224k (max input 224K), 最大回答(默认 4k) 128k (max output 128K, default 4K), and 最大思维链 128k (max chain-of-thought 128K).
There is no ByteDance publication making that claim, and no leaderboard entry we could verify. Claims that Seed 2.0 Code ranks first on SWE-bench Verified appear only in aggregator write-ups. We do not repeat them.
No. Seed Diffusion Preview is a separate, experimental diffusion language model for code generation, which ByteDance Seed describes as achieving "an inference speed of 2,146 token/s." It is a research preview, not a sub-engine of Seed 2.0 Code. The two are frequently conflated.
No. Doubao Seed 2.0 Code is a proprietary, closed-weights model. There is no downloadable checkpoint.
ByteDance's own announcements name TRAE and Volcano Engine as the supported surfaces. Compatibility with third-party agent harnesses depends on whatever API shims Volcano Engine exposes at the time; confirm against current Volcano Engine documentation rather than assuming.

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