概览
主要功能
- 对开源LLMs的推理API
- 在自定义数据集上微调
- 专用和无服务器GPU端点
- 图片和代码模型的支持
- 与OpenAI兼容的SDK和端点
- 可伸缩的训练基础设施
价格
- 模型
- Free
- 评分
- 4.8 / 5 (6)
使用场景
无服务器推理
快速运行开源模型的最佳方法，通过前沿的推理研究驱动
批处理推理
通过异步推理，降低成本并可扩展到30亿个令牌，用于任何无服务器模型或私有部署
微调
使用最新研究技术微调开源模型，改进准确性，减少幻觉和控制行为
优点 & 缺点
优点
- 开源模型的广泛目录
- 竞争性价格的推理和训练
- 支持微调和自定义部署
- OpenAI兼容的API简化了迁移
缺点
- 需要技术专长才能有效地使用
- 与一些封闭平台相比，工具化可能不够成熟
- 性能与模型选择中的性能会有所不同
评测
6 个评分的平均值。
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Use it every day
Honestly didn't expect to like it this much. Dedicated and serverless GPU endpoints is exactly what I needed, and broad catalog of open-source models. but I reach for it almost every day now and it just clicks.
Years in this space
I've evaluated a lot of these over the years. What stands out here is support for image and code models — handled better than most — and openAI-compatible API simplifies migration. Requires technical expertise to use effectively is my one real gripe. Worth the time if this is your use case.
Use it every day
Honestly didn't expect to like it this much. Scalable training infrastructure is exactly what I needed, and openAI-compatible API simplifies migration. but I reach for it almost every day now and it just clicks.
Compared a few options
Evaluated this against two competitors. Where it wins: openAI-compatible SDK and endpoints and openAI-compatible API simplifies migration. On balance the feature set — especially inference API for open-source LLMs — justifies the 5 stars for our use case.
Use it every day
Honestly didn't expect to like it this much. Dedicated and serverless GPU endpoints is exactly what I needed, and broad catalog of open-source models. but I reach for it almost every day now and it just clicks.
Solid for our team
We rolled this out across the team last quarter and competitive pricing for inference and training. Dedicated and serverless GPU endpoints fits neatly into how we already work, and inference API for open-source LLMs removed a step we used to do by hand. Performance varies across model selections, which is the main caveat, but it has held up under daily use.
问答
Is technical expertise required?
Yes, TogetherAI requires technical expertise to use effectively, but offers features like openAPI compatibility to simplify migration.
Asked by Ekaterina Orlova · Apr 12, 2026
What are the pricing options?
TogetherAI offers competitive pricing for inference and training, with options like provisioned throughput and dedicated model inference.
Asked by Marisol Pena · Mar 24, 2026
Can I fine-tune models?
Yes, TogetherAI allows fine-tuning on custom datasets using the latest research techniques.
Asked by Leila Hassan · Mar 19, 2026
What models are supported?
TogetherAI supports a wide library of open-source large language models, including image and code models.
Asked by Dumisani Ndlovu · Jan 12, 2026
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