by ByteDance
ByteDance's cost-efficient production model in the Seed 2.1 family, priced at half of Seed 2.1 Pro on Volcano Engine for high-volume coding and agent deployments.
Seed 2.1 Turbo suits teams running high-volume coding or agent pipelines who want most of Seed 2.1 Pro's ability at a lower rate. ByteDance's own table puts it at 67.6 on Terminal Bench 2.1 against Pro's 71.0, but no outside lab has reproduced those scores, so run your own evals before committing production traffic.
| Job | Input | Output | Total |
|---|---|---|---|
| Summarise a 20-page PDF | $0.015 | $0.0025 | $0.017 |
| Support reply | $0.0010 | $0.0007 | $0.0017 |
| One coding agent run | $0.100 | $0.050 | $0.150 |
Budgets: 20-page PDF = 30k in / 1k out · Support reply = 2k in / 300 out · Coding agent run = 200k in / 20k out. Computed from the vendor's per-token prices at render time; cached-input discounts are not applied.
BytePlus ModelArk, ByteDance's international cloud, charges $0.50 per 1M input tokens and $2.50 per 1M output tokens for Seed 2.1 Turbo, $0.10 per 1M cache-hit tokens, and $0.008333 per 1M tokens per hour for cache storage (checked 1 October 2026). Its Flex tier for low-priority jobs halves the rate to $0.25 input and $1.25 output. Inside mainland China, Volcano Engine listed Turbo at launch at CNY 3 per 1M input and CNY 15 per 1M output tokens, about $0.41 and $2.07 at June 2026 exchange rates, half of Seed 2.1 Pro's CNY 6 and CNY 30. Neither listing shows a free plan; both bill per token.
ByteDance released Seed 2.1 Turbo on 23 June 2026 as the smaller of two Seed 2.1 models, alongside Seed 2.1 Pro. It reads text, images and video within a 256K-token context window, targets coding and long-chain agent work, and is sold through Volcano Engine in China and BytePlus ModelArk elsewhere.
Reads
Writes
Long-Chain Agent Task Execution
Designed for multi-step workflows covering project planning, document processing, and tool use in sequence, with ByteDance positioning it as a production-grade agent model.
Full-Cycle Coding Delivery
Targets coding tasks from requirement analysis through implementation and validation, not just code completion.
Text, Image and Video Input
Reads text, images and video inside a 256K-token context window, with ByteDance reporting 76.9 on MMLongBench-128K for long multimodal documents.
Deep Thinking Mode
An optional reasoning mode set through thinking.type and a reasoning_effort parameter on BytePlus ModelArk.
OpenAI-Compatible Tool Calls
Supports OpenAI-compatible tool calls and structured JSON responses, letting pipelines built for GPT models port with minimal rework.
context window, with text, image and video input
Source: BytePlus ModelArk model detail page, checked 2026-10-01| Measure | This model | Rank | Median |
|---|---|---|---|
| Blended price (3:1)$ per 1M tokens | $1.00/M | #43 / 103 | peer median $1.71/M |
Ranks are against GA models on Hokai that publish the same figure; ties share a rank.
A benchmark is an exam, not the job. Scores transfer unevenly between tasks, so weigh the one closest to your workload and read every figure with its source.
| Model | Lab | Context | In / out per 1M | Reads and writes |
|---|---|---|---|---|
| ByteDance | 256K | $0.50 / $2.50 | text, image, video → text | |
| 1M | $0.25 / $1.50 | text, image, audio, video, pdf → text | ||
| OpenAI | 128K | $0.15 / $0.60 | text, image → text | |
| OpenAI | 200K | $1 / $6 | text, image → text, code |
| Name | Endpoint | Auth |
|---|---|---|
| BytePlus ModelArk (international) | https://ai.byteplus.com/ark | API Key |
| Volcano Engine (Volcano Ark) | https://www.volcengine.com/product/ark | API Key |
| Coze Ecosystem | https://www.coze.com | Coze Account |
OpenAI-compatible tool schema for function calling
{ tools: [{ type: 'function', function: { name: 'search', parameters: {...} } }] }Seed 2.1 Turbo uses OpenAI-compatible endpoints; existing function-calling schemas port directly.
Explicit task decomposition in system prompt
System: 'Break the user's request into numbered subtasks, complete each in order, and confirm completion of each before proceeding.'
Long-chain agent tasks perform better when the model is explicitly instructed to sequence subtasks rather than attempt them all at once.
Volcano Engine-first distribution
Seed 2.1 Turbo is sold through ByteDance's own clouds, Volcano Engine in mainland China and BytePlus ModelArk elsewhere, with no listing on AWS Bedrock, Google Vertex or Azure.
Workaround: Sign up for BytePlus ModelArk outside China and point an OpenAI-style client at its Chat Completions endpoint, or reach it through Coze for no-code agents.
Two names and two price lists
The same model appears as Doubao-Seed-2.1-Turbo on Volcano Engine, priced in CNY, and as Dola-Seed-2.1-turbo (ID dola-seed-2-1-turbo-260628) on BytePlus, priced in USD.
Workaround: Search both names in docs and SDK examples, and budget from the price list of the platform you will actually call.
Vendor-only benchmark table
ByteDance's Seed 2.1 page reports Turbo scores such as 67.6 on Terminal Bench 2.1, but no third party had reproduced them by 1 October 2026.
Workaround: Run a representative internal eval on your target task type (coding, reasoning, agent) before committing Turbo to production.
doubao-seed-2.1-turbo · 23 Jun 2026
Seed 2.1 Turbo released 23 June 2026 with Seed 2.1 Pro; served build dola-seed-2-1-turbo-260628. Adds video input.
doubao-seed-2.0-pro · 14 Feb 2026
Previous generation. Reported 76.5 SWE-bench and 98.3 AIME 2025. Succeeded by Seed 2.1 Pro and Turbo in June 2026.
On BytePlus ModelArk, Seed 2.1 Turbo costs $0.50 for every 1M input tokens and $2.50 for every 1M output tokens, with cache hits at $0.10 and a Flex tier for low-priority jobs at half those rates (checked 1 October 2026). Volcano Engine in mainland China listed it at CNY 3 and CNY 15 at launch, half of what Seed 2.1 Pro charges there.
No free plan is published. Seed 2.1 Turbo is billed per token from the first API call on both BytePlus ModelArk and Volcano Engine, so a test run of your own workload is the cheapest way to judge it.
Gemini 3.1 Flash-Lite is the pick if you want a published 86.9% GPQA Diamond score and Google Cloud distribution. GPT-4o mini undercuts Turbo on sticker price at $0.15/$0.60 per 1M tokens but runs OpenAI's older 2024-era architecture. GPT-5.6 Luna suits teams that want OpenAI's tooling and do not want to onboard BytePlus or Volcano Engine.
It depends on whose numbers you need. Gemini 3.1 Flash-Lite reports 86.9% on GPQA Diamond, a test ByteDance never ran on Turbo. Turbo's case rests on its coding-and-agent focus, video input and ByteDance's own table, which no outside lab has checked yet. Anyone who needs comparable published benchmarks before sign-off is better served by Gemini 3.1 Flash-Lite today.
Outside China, open a BytePlus ModelArk account, create an API key and call the model ID dola-seed-2-1-turbo-260628 through its Chat Completions or Responses endpoint; in mainland China the same model runs on Volcano Engine. Teams that prefer a visual builder can use Coze instead. Read ByteDance's Seed 2.1 model card first for the evaluation details.
Seed 2.1 Turbo (internally designated Doubao-Seed-2.1-Turbo, and listed on BytePlus as Dola-Seed-2.1-turbo) is ByteDance's cost-optimized production model in the Seed 2.1 family, released in June 2026 alongside the flagship Seed 2.1 Pro. ByteDance's launch post that day presented the family as two sizes, Pro and Turbo, built around three goals: end-to-end coding delivery from requirements through validation, long-chain agent task execution, and multimodal understanding of visual and video content. It replaces Seed 2.0 Pro from February 2026, and the build served today carries the ID dola-seed-2-1-turbo-260628.
The official model card is a PDF that covers both sizes, linked from ByteDance's Seed 2.1 model page, and the same page prints a Turbo column in its evaluation table. On those vendor-run tests Turbo scores 67.6 on Terminal Bench 2.1 against 71.0 for Pro, 88.0 on BeyondAIME against Pro's 87.0, and 76.9 on MMLongBench-128K against 78.3. Claude Opus 4.7 and GPT-5.5 fill the rival columns, with Gemini 3.1 Pro as a third; the video rows swap in Gemini 3.5 Flash. Turbo's biggest gap to Pro is motion perception: 56.8 on TOMATO versus 79.5. No outside lab had reproduced any of these numbers by 1 October 2026, and ByteDance published no Turbo result on SWE-bench Verified, GPQA Diamond or MMLU-Pro.
BytePlus ModelArk lists Turbo with text, image and video input, text output, and a deep-thinking mode tuned with a reasoning_effort parameter. It handles function calling, structured output, MCP tools, batch jobs and prompt caching through Chat Completions and Responses endpoints. It does not produce audio or video; video generation sits in ByteDance's separate Seedance 2.5 line, and our guide to where Seedance can be used for free covers that side.
Turbo is API-only. Mainland China teams reach it through Volcano Engine (Volcano Ark) and the Doubao apps; everyone else uses BytePlus ModelArk, ByteDance's international cloud, with Coze as a no-code agent builder on top. As a Chinese company, ByteDance operates under PRC data regulations, worth reviewing directly for teams in regulated industries before production deployment.
Where the alternatives win, among the large language models Hokai tracks: if you need scores an outside lab has checked, or you buy models through AWS Bedrock, Google Vertex AI or Azure, Turbo is the wrong default. Gemini 3.1 Flash-Lite publishes its GPQA Diamond result and sits inside Google Cloud, GPT-4o mini costs less per token for light chat work, and GPT-5.6 Luna brings OpenAI's tooling and distribution. Turbo makes sense when the coding and agent workload is large, the long context window matters, and your stack can live on BytePlus or Volcano Engine.
Specifications on this page (context window, token prices, benchmark scores, licence) are read from ByteDance's own model card and documentation. The verdict is Hokai's reading of them, not the provider's claim.