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AI 模型 84755
- Mercury 3↗
inception
Mercury 3 is a diffusion-based language model from Inception, and the lab's most capable model to date. It is suited for agentic workflows and real-time applications where latency compounds, such...
- Beam 1.0 501B A23B↗
reflection
Beam 1.0 is Reflection's open-weight reasoning model for coding and long-horizon agentic workflows. It uses a sparse mixture-of-experts architecture with 501B total and 23B active parameters per token, and a...
- Xing4.0 29B A4B (free)↗
xingchen-agi
Xing4.0-29B-A4B is an open-weight mixture-of-experts language model from China Telecom's AI team (TeleAI) and the successor to the TeleChat series. It has 29B total parameters with 4B active per token...
- Glimpse↗
elorian
Glimpse is a multimodal visual reasoning model from Elorian, built for visual understanding and complex visual reasoning in the physical world. It reasons directly over images and video rather than...
- Flint (free)↗
recursive
Flint is an open-weight mixture-of-experts model from Recursive, with about 2.5B active parameters out of 40B total, built by Recursive's autoresearch system Eureka Machine for coding agents. It is suited...
- GPT-6.1 Terra (Max)↗
OpenAI
GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots...
- GPT-6.1 Terra Pro↗
OpenAI
GPT-6.1 Terra Pro is the same underlying model as GPT-6.1 Terra, served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...
- GPT-6.1 Terra Pro (batch)↗
OpenAI
GPT-6.1 Terra Pro is the same underlying model as GPT-6.1 Terra, served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...
- text-search-ada-doc-001↗
OpenAI
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- BAAI/bge-large-en-v1.5↗
待核实厂商
BAAI/bge-large-en-v1.5 是一个大型英文文本嵌入模型，是 BGE (BAAI General Embedding) 系列的一部分。它在 MTEB 基准测试中取得了优异的表现，在 56 个数据集上的平均得分为 64.23，在检索、聚类、文本对分类等多个任务中表现出色。该模型支持最大 512 个 token 的输入长度，适用于各种自然语言处理任务，如文本检索、语义相似度计算等