模型介绍
**d3-mini** is the 4B multimodal foundation decision model of Decision 3.0, the decision models of vLLM Semantic Router. Give it an input (text or JSON, optionally with images and videos) and the questions you need answered: pick one of several options, say yes or no, or rate on a scale. It answers them all in one call and returns a probability for every answer, without generating text. **Try it free** at decision.vllm-sr.ai · Official Space: vllm-sr/Decision-3.0 - **Jev Decision Index 0.3.2: 52.6 on the official text board**, first among the entries of similar size and on the board's Pareto frontier; public suite 54.90, measured with the official 0.3 kit on the released weights: all 140,178 public requests answered, none unsupported. - **+7.7 over Decision 2.0** (its 4B model: 45.0 on the official board): +10.7 on the public suite, ahead in all five of its areas, and +8.2 and +3.4 on the private same-skill tests and new-domain tasks. - **Reads images:** multiple images per request (PNG, JPEG or WebP), given as paths, URLs, PIL images or base64 data URLs; every question of the request sees all of them. - **Reads videos:** multiple videos per request (MP4, WebM, MOV or MKV), given as paths, URLs, base64 data URLs or frame arrays, read at 2 frames per second; **Perception Test (multiple-choice video QA): 70.3** (internal evaluation). - **Speed:** a median of 18.1 ms for a text request, 112 ms for a request with an image and 336 ms for a request with a 10-second video, on one AMD Instinct MI325X GPU, one request at a time with AutoModel. - **Serving:** 151 requests/s with p99 under 1 s on one AMD Instinct MI325X with vLLM Semantic Router, 2.7× AutoModel (one-question text, with batching, now the default); with one request per forward, the former default, it gave answers identical to AutoModel's (Serving performance). - **Many questions, one call:** Choice, Yes / No and Score questions about the same input are answered together, each from its own forward pass over the input, with a probability for every option.
主要特点
特点摘要待依据来源补齐,不凭模型名称推断能力。
局限与注意事项
暂无足够来源支持具体缺点结论。请重点验证实际任务表现、时延、数据政策、许可与版本生命周期。
来源报价与费用分析
同一模型在不同渠道、地区和配置下可能采用不同价格。下表独立保留各渠道报价,不将渠道价格视为厂商官方统一价格。
| 来源 / 渠道 | 输入 | 输出 | 计费单位 | 采集时间 |
|---|---|---|---|---|
| 暂未取得可核验报价,请查阅来源渠道。 | ||||
按月估算基础 Token 费用
预估不包含缓存优惠、阶梯定价、多模态附加费用、网络检索、税费及推理额外输出。
公开评测与运行配置
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
查看完整已收录榜单 →常见问题
开放权重是否代表可以免费商用?
不一定。应核对具体版本许可证、商用门槛和使用政策。自部署还会产生算力和维护成本。
这些价格是实时结算价格吗?
不是实时结算价格,而是带采集时间的来源报价快照。请到对应渠道核对当前版本、区域、折扣和计费方式。
资料来源与可追溯记录
许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。