Doubao 1.5 Pro
bytedance/doubao-1.5-proThe price-performance outlier: flagship-adjacent quality at the lowest big-model prices in the catalogue.
Model overview
Context window
256K
tokens
Input price
—
quoted on request
Output price
—
quoted on request
Weekly volume
—
tokens / week
Open weights
No
API only
Capabilities
4
of 11 tags
Description
Doubao 1.5 Pro is a language model from ByteDance Doubao. Webparam does not stock this model yet and can source it on request — tell us what you need it for and we will come back with availability and a price. ByteDance Doubao’s stated focus is consumer-scale LLMs and generative video. The weights are not published, so it is API-only.
Capabilities
- Tool calling
- Calls functions you define and returns their arguments as structured data, the basis of agents.
- JSON mode
- Constrains the response to valid JSON matching a schema you supply.
- Streaming
- Emits tokens as they are generated, so answers appear progressively rather than all at once.
- Caching
- Reuses already-processed prompt prefixes across requests, cutting input cost for repeated context.
Strengths & weaknesses
Strengths
- Exceptional price-performance
- Fast responses
- Consumer-scale reliability
Weaknesses
- Closed weights
- International availability considerations
Pricing
| Rate | Price | Unit |
|---|---|---|
| Input | — quoted on request | — |
| Output | — quoted on request | — |
Prompt caching is supported, so repeated prefixes bill below the listed input rate. This model is not provisioned yet; the rate is quoted on request.
Context window
256Ktokens
covers prompt and response together, so a long input leaves less room for the answer.
Supported features
| Feature | Support |
|---|---|
| Tool calling | Supported |
| JSON mode | Supported |
| Streaming | Supported |
| Vision input | Not supported |
| Audio input | Not supported |
| Long context | Not supported |
| Open weights | Not supported |
| Reasoning | Not supported |
| Fine-tunable | Not supported |
| Batch | Not supported |
| Caching | Supported |
Example use cases
High-volume consumer features
Cost-sensitive assistants
Bulk processing
Comparison
Compare against anything →| Attribute | Doubao 1.5 Pro | DeepSeek V3.2 | GPT-5.1 Mini |
|---|---|---|---|
| Context window | 256K | 128K | 400K |
| Input price | R0.00 | R0.00 | R0.00 |
| Output price | — not charged | — not charged | — not charged |
| Tool calling | Supported | Supported | Supported |
| JSON mode | Supported | Supported | Supported |
| Vision input | Not supported | Not supported | Supported |
| Open weights | Not supported | Supported | Not supported |
| Prompt caching | Supported | Supported | Supported |
Best value in each row is highlighted. Blank cells are facts the supplier does not publish, not zeroes.
Provider information
View ByteDance Doubao →ByteDance Doubao · 豆包 · Beijing, China · est. 2023 (Model lab; parent ByteDance founded 2012)
Doubao is ByteDance's model family, priced aggressively enough to reset the Chinese market and deployed across products with hundreds of millions of users. Its Seedance video and Seedream image lines translate TikTok-era creative expertise into generative models with striking motion quality.
Recent releases
Documentation
Frequently asked questions
Input is billed at R0.00 per 1M tokens, and there is no separate output charge. Prompt caching bills repeated prefixes below the listed input rate. Every figure on this page is an illustrative placeholder.
No. Doubao 1.5 Pro is served through its provider's API only; the weights are not published, so self-hosting is not an option.
Prompt and response share one window: Doubao 1.5 Pro accepts up to 256K tokens in total, so a long input leaves less room for the answer. The median across language models is 256K. Recall is strongest well inside the limit. Test at your real prompt depth before relying on the ceiling.
DeepSeek V3.2 is the closest neighbour in the catalogue, with 128K of context at R0.00 per 1M tokens in. Put both in a comparison before wiring a fallback chain, so the trade-off is a decision rather than a default.