Doubao 1.5 Thinking Pro
qiniu-ai/1-5-thinking-pro제공: qiniu-ai · 출시 2025-08-05
⚠ 이 모델은 커뮤니티 파인튜닝 / 파생본으로, 벤더 공식 릴리스가 아닙니다.
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
기능
Model fit scores
0–100 · higher is betterThese scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.
Coding53
- Tool calling40/40
- Structured output0/20
- Reasoning10/10
- Context window (100K → 1M)2/20
- Provider availability1/10
Agents61
- Tool calling35/35
- Structured output0/25
- Reasoning15/15
- Output token limit10/15
- Provider availability1/10
JSON / structured output30
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume0/20
Cost efficiency0
- Has published price0/100
Long context35
- Context window (100K → 2M)35/90
- Has published price for full window0/10
Production-readiness30
- Number of independent providers5/40
- Has published per-token price0/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers10/10
- Official model (not derivative)0/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
This model has no published per-token price, so we can't compute a cost estimate. See the provider's official pricing page for current rates.
1곳 제공사에서 이용 가능
| 제공자 | 제공자 모델 ID | 입력 / 1M | 출력 / 1M | 컨텍스트 | 출시일 |
|---|---|---|---|---|---|
| Qiniu qiniu-ai | doubao-1.5-thinking-pro | Unknown | Unknown | 128K | 2025-08-05 |
Frequently asked questions
How much does Doubao 1.5 Thinking Pro cost?
Doubao 1.5 Thinking Pro does not have a publicly published per-token price in our data source. This usually means it is gated behind enterprise sales or invite access. Check qiniu-ai's official pricing page for the most current rates.
What is the context window of Doubao 1.5 Thinking Pro?
Doubao 1.5 Thinking Pro has a context window of 128K tokens, with a max output of 16K tokens per reply. This is the total combined size of prompt + completion.
Does Doubao 1.5 Thinking Pro support tool calling?
Yes. Doubao 1.5 Thinking Pro supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Does Doubao 1.5 Thinking Pro support structured output / JSON mode?
No. Doubao 1.5 Thinking Pro does not support structured output / JSON-schema-constrained decoding. If your workflow requires it, look at the /capabilities/structured-output list for alternatives.
Can Doubao 1.5 Thinking Pro accept image input?
No. Doubao 1.5 Thinking Pro only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is Doubao 1.5 Thinking Pro open-weight?
No. Doubao 1.5 Thinking Pro is a proprietary model — only qiniu-ai (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.
What are the best alternatives to Doubao 1.5 Thinking Pro?
If Doubao 1.5 Thinking Pro doesn't fit, consider Kling-V2 6, Mimo-V2-Flash. Each one targets the same use case — see the Related links below for direct head-to-head pages.
Where does this data come from?
All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
More qiniu-ai models
- Kling-V2 6Unknown pricing
- Mimo-V2-Flash$0.10 in / $0.30 out
Capability lists this model is in
마지막 업데이트:
Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.