廠商 · 2026-05-12
qiniu-ai
| 模型 | 輸入 / 1M | 輸出 / 1M | 上下文 | 服務商 | 標籤 |
|---|---|---|---|---|---|
| Mimo-V2-Flash | $0.100 | $0.300 | 256K | 1 | tools · reasoning · open-weights |
| Kling-V2 6 | 未公開 | 未公開 | Unknown | 1 | vision |
| Claude 4.0 Opus衍生 | 未公開 | 未公開 | 200K | 1 | tools · reasoning · vision |
| Claude 4.0 Sonnet衍生 | 未公開 | 未公開 | 200K | 1 | tools · reasoning · vision |
| Claude 4.1 Opus衍生 | 未公開 | 未公開 | 200K | 1 | tools · reasoning · vision |
| Deepseek/Deepseek-Math-V2衍生 | 未公開 | 未公開 | 160K | 1 | reasoning |
| DeepSeek/DeepSeek-V3.1-Terminus-Thinking衍生 | 未公開 | 未公開 | 128K | 1 | reasoning |
| Deepseek/DeepSeek-V3.2衍生 | 未公開 | 未公開 | 128K | 1 | tools · reasoning |
| DeepSeek/DeepSeek-V3.2-Exp-Thinking衍生 | 未公開 | 未公開 | 128K | 1 | reasoning |
| Doubao 1.5 Pro 32k衍生 | 未公開 | 未公開 | 128K | 1 | tools |
| Doubao 1.5 Thinking Pro衍生 | 未公開 | 未公開 | 128K | 1 | tools · reasoning |
| Doubao 1.5 Vision Pro衍生 | 未公開 | 未公開 | 128K | 1 | vision |
| Doubao Seed 2.0 Code衍生 | 未公開 | 未公開 | 256K | 1 | tools · reasoning · vision |
| Doubao Seed 2.0 Lite衍生 | 未公開 | 未公開 | 256K | 1 | tools · reasoning · vision |
| Doubao Seed 2.0 Mini衍生 | 未公開 | 未公開 | 256K | 1 | tools · reasoning · vision |
| Doubao Seed 2.0 Pro衍生 | 未公開 | 未公開 | 256K | 1 | tools · reasoning · vision |
| Doubao-Seed 1.6衍生 | 未公開 | 未公開 | 256K | 1 | tools · reasoning · vision |
| Doubao-Seed 1.6 Flash衍生 | 未公開 | 未公開 | 256K | 1 | tools · reasoning · vision |
| Doubao-Seed 1.6 Thinking衍生 | 未公開 | 未公開 | 256K | 1 | tools · reasoning · vision |
| Gemini 3.0 Flash Preview衍生 | 未公開 | 未公開 | 1M | 1 | tools · reasoning · vision |
| Gemini 3.0 Pro Image Preview衍生 | 未公開 | 未公開 | 33K | 1 | vision |
| Gemini 3.0 Pro Preview衍生 | 未公開 | 未公開 | 1M | 1 | tools · reasoning · vision |
| Qwen VL-MAX-2025-01-25衍生 | 未公開 | 未公開 | 128K | 1 | tools · vision |
| Qwen2.5-Max-2025-01-25衍生 | 未公開 | 未公開 | 128K | 1 | tools |
| Stepfun-Ai/Gelab Zero 4b Preview衍生 | 未公開 | 未公開 | 8K | 1 | tools · vision |
| Z-Ai/Autoglm Phone 9b衍生 | 未公開 | 未公開 | 13K | 1 | tools · vision |
Frequently asked questions
How many AI models does qiniu-ai offer?
We track 2 canonical qiniu-ai models plus 24 community fine-tunes / derivatives (excluded from the main table). The list is recomputed daily from models.dev.
Which qiniu-ai model is the cheapest?
Mimo-V2-Flash is currently the lowest-priced qiniu-ai model, at $0.100 per 1M input tokens and $0.300 per 1M output tokens. For the full apples-to-apples list, see /pricing/cheapest-llm-api.
Which qiniu-ai model has the largest context window?
Mimo-V2-Flash leads at 256K tokens. This is the total of prompt + completion.
Which qiniu-ai models support tool calling?
Multiple qiniu-ai models support tool calling, with Mimo-V2-Flash being a popular pick. The capability column in the table above marks every model with qiniu-ai tool-calling support.
Which qiniu-ai models accept image input?
Kling-V2 6 accepts image input. Other vision-capable qiniu-ai models are tagged 'vision' in the table above. See /capabilities/vision for a cross-vendor comparison.
What are the best alternatives to qiniu-ai?
Depends on the use case. For raw cost savings, look at /pricing/cheapest-llm-api. For agent-oriented workloads, /best/best-ai-model-for-agents. For long-document workflows, /best/best-long-context-llm.
How fresh is this qiniu-ai pricing data?
Daily. Our pipeline pulls models.dev each morning and rebuilds these pages on data change, so list-price moves and new model releases land within roughly 24 hours.
Explore more
Top qiniu-ai models
- Mimo-V2-Flash$0.10 in / $0.30 out
- Kling-V2 6Unknown pricing
Browse by use case
Browse by capability
最近更新：
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
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.