根据功能和用途，为你挑选 12 款 Backmesh 的替代工具。
| 排名 | 工具和标语 | 官方域名 | 月访问量 | 月度增长 (MoM) | 定价模式 |
|---|
| 主要市场 |
|---|
| 评分 |
|---|
| 比较 |
|---|
| ● | Backmesh | backmesh.com | 874 | 792 (+965.9%) | 免费试用，付费 | 尼日利亚 | 4.3 | 概览 |
| 1 | Modal | modal.com | 119.6万 | 27.72万 (+30.2%) | 免费增值，定价请咨询 | 美国 | 4.8 | 比较 |
| 2 | oMLX | omlx.ai | 10.73万 | -4.08万 (-27.5%) | 免费 | 美国 | 4.6 | 比较 |
| 3 | FlexAI | flex.ai | 4.43万 | 6733 (+17.9%) | 免费增值，付费，定价请咨询 | 美国 | 4.2 | 比较 |
| 4 | Lightning AI | lightning.ai | 27.26万 | -3.81万 (-12.3%) | 免费增值，付费，定价请咨询 | 美国 | 4.7 | 比较 |
| 5 | OrcaRouter | orcarouter.ai | 97.53万 | -5.38万 (-5.2%) | 免费增值 | 美国 | 4.3 | 比较 |
| 6 | RightNow Inference（RunInfra） | runinfra.ai | 1.81万 | -5280 (-22.6%) | 免费试用，付费，定价请咨询 | 印度 | 4.4 | 比较 |
| 7 | General Compute | generalcompute.com | 1.38万 | 924 (+7.2%) | 免费试用，定价请咨询 | 美国 | 4.2 | 比较 |
| 8 | RunPod | runpod.io | 288.1万 | 16.15万 (+5.9%) | 付费 | 美国 | 4.7 | 比较 |
| 9 | Agent 37 | agent37.com | 18万 | 3.51万 (+24.2%) | 免费试用，定价请咨询 | 巴拉圭 | 4.3 | 比较 |
| 10 | Higress | higress.ai | 1.33万 | -2910 (-17.9%) | 定价请咨询 | 中国 | 4.6 | 比较 |
| 11 | Browser Use | browser-use.com | 120.64万 | 35.12万 (+41.1%) | 免费增值，付费，定价请咨询 | 美国 | 4.7 | 比较 |
| 12 | LLM Gateway | llmgateway.io | 16.84万 | -2.85万 (-14.5%) | 免费增值，定价请咨询 | 韩国 | 4.6 | 比较 |
面向 AI 与数据负载的无服务器云基础设施
由 PyTorch Lightning 创建团队打造的 AI 云平台
OrcaRouter is an OpenAI-compatible AI gateway that grades every prompt and routes it to the best-value model, then layers on failover, guardrails, an agent firewall, and compliance tooling for production AI.
OrcaRouter is an OpenAI-compatible AI gateway that grades every prompt and routes it to the best-value model, then layers on failover, guardrails, an agent firewall, and compliance tooling for production AI.
为智能体快速提供开源模型推理，附带热缓存路由
为智能体快速提供开源模型推理，附带热缓存路由
General Compute is an inference cloud built around alternative AI silicon rather than standard GPU fleets. The company buys racks of accelerators, racks them in colocation data centres, and handles the cooling, power, and networking itself. On top of that hardware it runs a disaggregated inference stack that splits each request: prompt processing runs on NVIDIA GPUs for prefill, while token generation runs on faster decode chips such as Cerebras, SambaNova, Positron AI, and d-Matrix. Customers get bare metal access or a tokens-per-second SLA.
General Compute is an inference cloud built around alternative AI silicon rather than standard GPU fleets. The company buys racks of accelerators, racks them in colocation data centres, and handles the cooling, power, and networking itself. On top of that hardware it runs a disaggregated inference stack that splits each request: prompt processing runs on NVIDIA GPUs for prefill, while token generation runs on faster decode chips such as Cerebras, SambaNova, Positron AI, and d-Matrix. Customers get bare metal access or a tokens-per-second SLA.
