doubao-seed-2.1-turbo
Input price$0.41
Output price$2.07
ByteDanceTextVision
doubao-seed-2.1-pro
doubao-seed-2.1-pro is ByteDance's model at $0.83 input and $4.14 output per million tokens, with a 256K context window. On a typical 3:1 input-to-output mix that blends to roughly $1.66 per million tokens, placing it in the mid-range band of the 68 models tracked here — cheaper than 45% of them.
Context window256K
Input price$0.83 / 1M
Output price$4.14 / 1M
Output speed65 tok/s
Quality score91
Data updatedUpdated Aug 2026
Price verified2026-08-06 · Manual
Price noteVolcengine lists ¥6 / ¥30 per 1M tokens; converted at 7.25 CNY/USD
By price, doubao-seed-2.1-pro ranks 33rd cheapest of 68 on input and 41st on output. Its quality score of 91 ranks 17th of 68, and on value (quality score ÷ output price) it ranks 39th of 68. Its blended rate sits 40% 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 $187 per month on doubao-seed-2.1-pro, while a RAG workload of 20,000 queries (8,000 input / 800 output tokens each) runs about $199. 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 65 tok/s (53rd fastest of 68), acceptable interactively, though long responses will feel slow.
We track 2 ByteDance models, and doubao-seed-2.1-pro's blended rate sits 34% above that provider's average. If your task tolerates a little less headroom, qwen3.5 (Alibaba) blends about 93% cheaper at a quality score of 91, and is worth benchmarking first. Going the other way, deepseek-reasoner-v4 scores 92 on quality for about 67% less.
The closest model in ByteDance's line-up is doubao-seed-2.1-turbo ($0.41 input / $2.07 output, quality 85). Against it, doubao-seed-2.1-pro scores 6 points higher on quality, runs 65 tok/s slower (about 50%), costs 50% more 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 | $187 | $3.00 |
| RAG document Q&A | 8,000 input / 800 output tokens per query, 20,000 queries per month | $199 | $3.84 |
| Coding assistant | 12,000 input / 2,000 output tokens per request, 10,000 requests per month | $182 | $3.20 |
| Batch summarization | 4,000 input / 400 output tokens per item, 200,000 items per month | $995 | $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-pro | ByteDance | $1.66 | 91 | — |
| qwen3.5Cheaper option | Alibaba | $0.11 | 91 | -93% |
| deepseek-reasoner-v4Higher quality | DeepSeek | $0.54 | 92 | -67% |
| doubao-seed-2.1-turboSame provider | ByteDance | $0.82 | 85 | -50% |
| qwen3.5-flashBest value overall | Alibaba | $0.055 | 82 | -97% |
Best for
ReasoningCodingMultimodal
Modalities
TextVision
Where it fits — and where it doesn't
Good fit
- Coding: writing, refactoring and debugging across multi-file project context.
- Reasoning: multi-step decomposition, planning and tasks that need rigorous inference.
- 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-pro API cost?
doubao-seed-2.1-pro costs $0.83 per million input tokens and $4.14 per million output tokens. On a 3:1 input-to-output mix that blends to about $1.66 per million tokens.
What does doubao-seed-2.1-pro cost per month?
It depends on volume. Using the four worked scenarios on this page: a support chatbot runs about $187/month, RAG document Q&A about $199/month, a coding assistant about $182/month, and batch summarization about $995/month. Plug your own token counts into the cost calculator for a tailored figure.
How large is the doubao-seed-2.1-pro 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-pro or qwen3.5 — which is better value?
qwen3.5 blends to about $0.11 per million tokens versus $1.66 for doubao-seed-2.1-pro — roughly 93% cheaper — at a quality score of 91 against 91. If that quality gap does not show up on your task, take the cheaper one; if it does, stay with doubao-seed-2.1-pro. Benchmark both on your own data before deciding.
What is doubao-seed-2.1-pro best suited for?
Tagged use cases: reasoning, coding, multimodal. 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-pro 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.