doubao-seed-2.1-pro
Input price$0.83
Output price$4.14
ByteDanceTextVision
doubao-seed-2.1-turbo
doubao-seed-2.1-turbo is ByteDance's model at $0.41 input and $2.07 output per million tokens, with a 256K context window. On a typical 3:1 input-to-output mix that blends to roughly $0.82 per million tokens, placing it in the mid-range band of the 68 models tracked here — cheaper than 60% of them.
Context window256K
Input price$0.41 / 1M
Output price$2.07 / 1M
Output speed130 tok/s
Quality score85
Data updatedUpdated Aug 2026
Price verified2026-08-06 · Manual
Price noteTurbo is half the Pro rate (¥3 / ¥15 per 1M tokens); converted at 7.25 CNY/USD
By price, doubao-seed-2.1-turbo ranks 26th cheapest of 68 on input and 32nd on output. Its quality score of 85 ranks 38th of 68, and on value (quality score ÷ output price) it ranks 31st of 68. Its blended rate sits 70% below the catalog average.
In real billing terms: a support chatbot handling 50,000 turns a month (2,000 input / 500 output tokens each) costs about $93 per month on doubao-seed-2.1-turbo, while a RAG workload of 20,000 queries (8,000 input / 800 output tokens each) runs about $99. Because output is priced 5.0× input here, long-generation tasks scale cost fastest — cap output length before you optimise anything else.
A 256K context window holds roughly 341 pages of A4 text (at ~750 tokens per page), ranking 36th of 68 here. That covers typical RAG and multi-turn chat, though book-length inputs still need retrieval and chunking. Output runs at about 130 tok/s (21st fastest of 68), fast enough for real-time interaction and high-throughput batches.
We track 2 ByteDance models, and doubao-seed-2.1-turbo's blended rate sits 34% below that provider's average. If your task tolerates a little less headroom, qwen3.5-flash (Alibaba) blends about 93% cheaper at a quality score of 82, and is worth benchmarking first. Going the other way, Hunyuan HY3 scores 87 on quality for about 88% less.
The closest model in ByteDance's line-up is doubao-seed-2.1-pro ($0.83 input / $4.14 output, quality 91). Against it, doubao-seed-2.1-turbo scores 6 points lower on quality, runs 65 tok/s faster (about 100%), costs 101% less blended. When two models sit this close on price, the deciding factor is usually the quality ceiling — run both against your real prompts before picking.
Estimated monthly cost
Monthly API spend across four common workloads, next to the cheapest model we track.
| Workload | Usage assumption | This model | Cheapest model |
|---|---|---|---|
| Support chatbot | 2,000 input / 500 output tokens per turn, 50,000 turns per month | $93 | $3.00 |
| RAG document Q&A | 8,000 input / 800 output tokens per query, 20,000 queries per month | $99 | $3.84 |
| Coding assistant | 12,000 input / 2,000 output tokens per request, 10,000 requests per month | $91 | $3.20 |
| Batch summarization | 4,000 input / 400 output tokens per item, 200,000 items per month | $494 | $19 |
Derived directly from the rates on this page. Excludes prompt caching, batch discounts and free tiers.
How it compares
The alternatives worth benchmarking alongside it, from the same dataset.
| Model | Provider | Blended /1M | Quality | Price delta |
|---|---|---|---|---|
| doubao-seed-2.1-turbo | ByteDance | $0.82 | 85 | — |
| qwen3.5-flashCheaper option | Alibaba | $0.055 | 82 | -93% |
| Hunyuan HY3Higher quality | Tencent | $0.10 | 87 | -88% |
| doubao-seed-2.1-proSame provider | ByteDance | $1.66 | 91 | +101% |
Best for
ChatbotCodingAffordable
Modalities
TextVision
Where it fits — and where it doesn't
Good fit
- Coding: writing, refactoring and debugging across multi-file project context.
- Chat and support: natural multi-turn conversation for user-facing products.
- High throughput and real-time UX: 130 tok/s keeps streamed responses feeling instant.
- Multimodal input: handles images, screenshots and scanned documents directly.
Poor fit
- No obvious disqualifiers — still benchmark on your own data before committing.
Frequently asked questions
How much does the doubao-seed-2.1-turbo API cost?
doubao-seed-2.1-turbo costs $0.41 per million input tokens and $2.07 per million output tokens. On a 3:1 input-to-output mix that blends to about $0.82 per million tokens.
What does doubao-seed-2.1-turbo cost per month?
It depends on volume. Using the four worked scenarios on this page: a support chatbot runs about $93/month, RAG document Q&A about $99/month, a coding assistant about $91/month, and batch summarization about $494/month. Plug your own token counts into the cost calculator for a tailored figure.
How large is the doubao-seed-2.1-turbo context window?
256K tokens — roughly 341 pages of A4 text at ~750 tokens per page, ranking 36th of the 68 models tracked here.
doubao-seed-2.1-turbo or qwen3.5-flash — which is better value?
qwen3.5-flash blends to about $0.055 per million tokens versus $0.82 for doubao-seed-2.1-turbo — roughly 93% cheaper — at a quality score of 82 against 85. If that quality gap does not show up on your task, take the cheaper one; if it does, stay with doubao-seed-2.1-turbo. Benchmark both on your own data before deciding.
What is doubao-seed-2.1-turbo best suited for?
Tagged use cases: chatbot, coding, cheap. Coding: writing, refactoring and debugging across multi-file project context. Less suitable: No obvious disqualifiers — still benchmark on your own data before committing.
How current is this doubao-seed-2.1-turbo pricing?
Pricing here was last verified on 2026-08-06 against manual review. llmprice.app runs a daily collection job, but providers can change rates between runs — confirm against ByteDance's official pricing page before you commit.
Estimate the real cost of this model
Bring tokens per request and monthly volume into the calculator to compare total model costs.
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Pricing, speed and quality scores change over time. Confirm official documentation before production use.