AI NEWS.ccAI正在发生 未来正在更新
♡ 我的收藏 0
AI NEWS · 模型情报站发现能力边界，让每一次选择更有依据 ↗基础档案先收录 · 缺失资料持续补齐
THE AI MODEL DIRECTORY 模型探索，从这里开始

找到适合你的 AI 模型。

从语言到影像，从开源到 API。读懂模型能力、比较真实成本，
为你的下一个想法，找到合适的智能引擎。

热门探索
84,991 款模型档案13202 家厂商 / 发布者45 个能力分类465 款有可比报价 · 30 款有公开评测
T文本生成▧图像生成▷视频生成⌘代码生成◖语音合成♫音乐生成⬡3D 建模▤文档分析
DISCOVER & COMPARE

探索 AI 模型 37

为你发现值得关注的模型

> # Research and evaluation use only — not for commercial use > These weights are a quantized derivative of Qwen/Qwen-Image-2.1 > and are distributed under the **Qwen Research License Agreement** (LICENSE). > The license permits use, reproduction and distribution **for non-commercial purposes only**, defined as > **research or evaluation**. Any commercial use requires a separate license from the licensor > (model-business@notice.qwencloud.com). By downloading or using these files you agree to the LICENSE. An Osaurus 4bit mflux quantization of Qwen/Qwen-Image-2.1 for Apple Silicon (9.9 GB, smallest; occasional typography slips). This is not an official Qwen release and is not endorsed by the Qwen team. One bundle does both **text-to-image** and **reference editing** (up to 10 ordered reference images); the vision encoder is included.

译文排队中 · 当前显示来源原文

图像生成
输入 文本→ 输出 图像
价格待核验多模态与渠道费用须分别核对
查看详情 ↗
来源 / 文档 ↗

An Osaurus 6bit mflux quantization of Qwen/Qwen-Image-2.1 for Apple Silicon (14 GB, balanced size and quality). This is not an official Qwen release and is not endorsed by the Qwen team. One bundle does both **text-to-image** and **reference editing** (up to 10 ordered reference images); the vision encoder is included. The Qwen team has stated that "Outputs are not part of the licensed Materials. Users retain the rights to images and other content they generate using the model." This does not grant commercial use of the model itself; running the model remains limited to research and evaluation unless you hold a commercial license.

译文排队中 · 当前显示来源原文

图像生成
输入 文本→ 输出 图像
价格待核验多模态与渠道费用须分别核对
查看详情 ↗
来源 / 文档 ↗

> # Research and evaluation use only — not for commercial use > These weights are a quantized derivative of Qwen/Qwen-Image-2.1 > and are distributed under the **Qwen Research License Agreement** (LICENSE). > The license permits use, reproduction and distribution **for non-commercial purposes only**, defined as > **research or evaluation**. Any commercial use requires a separate license from the licensor > (model-business@notice.qwencloud.com). By downloading or using these files you agree to the LICENSE. An Osaurus 8bit mflux quantization of Qwen/Qwen-Image-2.1 for Apple Silicon (17 GB, closest to the original; recommended). This is not an official Qwen release and is not endorsed by the Qwen team. One bundle does both **text-to-image** and **reference editing** (up to 10 ordered reference images); the vision encoder is included.

译文排队中 · 当前显示来源原文

图像生成
输入 文本→ 输出 图像
价格待核验多模态与渠道费用须分别核对
查看详情 ↗
来源 / 文档 ↗

An Osaurus 4-bit mflux quantization of Qwen/Qwen-Image-2.1-Turbo for Apple Silicon (9.9 GB, smallest; more composition drift between seeds). This is not an official Qwen release and is not endorsed by the Qwen team. Turbo is the 8-step distilled checkpoint of Qwen-Image-2.1. One bundle does both **text-to-image** and **reference editing** (up to 10 ordered reference images); the vision encoder is included. Requires **Osaurus 0.25.21 or newer**. Older versions treat this bundle as Qwen-Image-2.1 and sample it on that model's 40-step schedule, which gives degraded images.

译文排队中 · 当前显示来源原文

图像生成
输入 文本→ 输出 图像
价格待核验多模态与渠道费用须分别核对
查看详情 ↗
来源 / 文档 ↗

An Osaurus 6-bit mflux quantization of Qwen/Qwen-Image-2.1-Turbo for Apple Silicon (14 GB, balanced size and quality). This is not an official Qwen release and is not endorsed by the Qwen team. Turbo is the 8-step distilled checkpoint of Qwen-Image-2.1. One bundle does both **text-to-image** and **reference editing** (up to 10 ordered reference images); the vision encoder is included. Requires **Osaurus 0.25.21 or newer**. Older versions treat this bundle as Qwen-Image-2.1 and sample it on that model's 40-step schedule, which gives degraded images.

译文排队中 · 当前显示来源原文

图像生成
输入 文本→ 输出 图像
价格待核验多模态与渠道费用须分别核对
查看详情 ↗
来源 / 文档 ↗

An Osaurus 8-bit mflux quantization of Qwen/Qwen-Image-2.1-Turbo for Apple Silicon (17 GB, closest to the original; recommended). This is not an official Qwen release and is not endorsed by the Qwen team. Turbo is the 8-step distilled checkpoint of Qwen-Image-2.1. One bundle does both **text-to-image** and **reference editing** (up to 10 ordered reference images); the vision encoder is included. Requires **Osaurus 0.25.21 or newer**. Older versions treat this bundle as Qwen-Image-2.1 and sample it on that model's 40-step schedule, which gives degraded images.

译文排队中 · 当前显示来源原文

图像生成
输入 文本→ 输出 图像
价格待核验多模态与渠道费用须分别核对
查看详情 ↗
来源 / 文档 ↗

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

基础资料已收录 · 缺失资料后续补充

视觉问答
输入 文本 · 图像→ 输出 文本
价格待核验多模态与渠道费用须分别核对
查看详情 ↗
来源 / 文档 ↗

**imatrix-calibrated GGUF builds of Raptor 0.6, a lightly tuned Spark-X2.5-4B — the format Osaurus for Windows runs.** The release write-up — what happened to Raptor 0.5, why the base changed, and how 0.6 was built and measured — is at osaurus.ai/models/raptor-06. Both quants were produced **with the importance matrix applied**. Measured against the model's own bf16 weights on a held-out corpus (100 chunks x 512 tokens) that is disjoint from the imatrix corpus — 9,166 overlapping rows were dropped and the eval asserts the result is non-empty rather than trusting the paths.

译文排队中 · 当前显示来源原文

文本生成
输入 文本→ 输出 文本
价格待核验多模态与渠道费用须分别核对
查看详情 ↗
来源 / 文档 ↗
COST EXPLORER

好模型，也要算好成本。

费用分析

调整月度 Token 用量，直观比较不同模型的预估 API 开支。

1 M = 100 万 Token · 美元计价
仅比较同一渠道的基础文本 Token 报价

使用已采集且单位可比的 USD / 百万 Token 渠道报价。报价为采集时快照；不计缓存优惠、阶梯价、推理额外输出与税费，请以来源的当前报价为准。

MODEL HANDBOOK

读懂模型，再做选择

选型与常见问题
API 价格应该怎么比较？+

先区分输入、输出和缓存价格，再使用同一任务和用量估算总费用。图像、音频和视频可能按张、时长或分辨率计费，不能直接与 Token 单价比较。

开放权重，就代表可以免费商用吗？+

不一定。必须逐一核对具体模型版本的许可证、商用限制及使用政策。自己部署还需要考虑显存、推理资源和运维费用。

排行榜第一，就是最适合我的模型吗？+

榜单取决于测试任务、版本与评测方法。建议用实际业务样本比较准确性、时延、稳定性和成本，再选择模型。

AI NEWS · 从信息到选择

资讯看趋势，工具提效率，模型筑可能。

探索 AI 资讯 ↗发现 AI 工具 ↗