OpenRouter Reviews

AWS Batch Reviews

OpenRouter mentions (37)

• Databricks drove down AI coding spend 70%

  Omniagent looks quite similar to OpenRouter (https://openrouter.ai/). - Source: Hacker News / 8 days ago

• GLM-5.2 is the step change for open agents

  It's very easy to use other providers. See https://openrouter.ai/ which also let's you filter by where the provider is hosted and their data retention policy. - Source: Hacker News / about 2 months ago

• Testing GLM-5.2 on OpenCode: I'm impressed!

  If you want to try it yourself: grab OpenCode, point it at OpenRouter, select GLM 5.2, and give it a real task instead of a benchmark. The z.ai docs have the rest of the details. - Source: dev.to / about 2 months ago

• AI Gateways in 2026: a field guide to the 106 cost problem

  Hosted, minimal ops. You want to be calling models in five minutes and you are fine paying a small fee for it. OpenRouter is the marketplace default — 400+ models, ~5.5% on credits. Vercel AI Gateway and Cloudflare AI Gateway go further and charge 0% markup, billing you at provider list price while adding routing and caching on top. - Source: dev.to / 2 months ago

• Self-hosting OpenClaw: a money trap and two silent failures

  I use OpenRouter as the single door to a pile of models. Its BYOK (bring-your-own-key) feature has a trap. You add your own OpenAI key for a model, flip on "Always use for this provider," and read that as never spend OpenRouter credits. It doesn't mean that. - Source: dev.to / 2 months ago

AWS Batch mentions (16)

• Serverless with Mama J — Why Serverless

  Long-running workloads — A single Lambda invocation has a 15-minute maximum, and that applies to synchronous execution. For workloads that need to run longer — heavy video encoding, large data migrations, overnight batch jobs — you'd traditionally reach for something like Amazon ECS or AWS Batch. However, the new AWS Lambda durable functions feature changes the game by letting you build long-running asynchronous... - Source: dev.to / 3 months ago

• Optimizing AWS Costs for AI Development in 2025

  Compute: This is the big one. It's the cost of running EC2 instances with GPUs (like the g5 or p4 series) for model training and deployment. It also includes the compute for services like Amazon SageMaker and AWS Batch. - Source: dev.to / about 1 year ago

• Looking for a decent (self hostable) program to orchestrate scripts, notify on failures, etc

  After moving off Jenkins, I moved everything to AWS Batch with Fargate. This works quite well, but it is proving to be a little expensive, as I have to pay for:. Source: about 3 years ago

• Hosting strategy suggestions

  If you're looking for more control over your infrastructure and want to run a full computing environment, EC2 might be the right choice for you. With EC2, you have complete control over the operating system, network, and storage, which can be useful if you need to install custom software or use specific hardware configurations. Additionally, EC2 + Batch processing provide a wider range of instance types, including... Source: over 3 years ago

• Questions for bioinformatics researchers that use AWS

  AWS Batch is the equivalent of a university cluster you submit to with slurm/sge/lsf/etc. But does not use those schedulers as AWS has their own. Source: over 3 years ago