OpenRouter Release Notes

ElevenLabs is now on OpenRouter with 9 Text to Speech and 2 Speech to Text models. Deliver speech with human-like emotion with Eleven v4, give your agent low-latency replies with v4 Turbo, and turn meetings into notes that show who said what with Scribe v2. Here's which model to pick, and one project built start to finish.

We now benchmark model routers side by side across six suites. Our Router Index weighs quality, speed, and cost so you can decide if you need a router and pick the best one for your needs.

We audited our own OpenRouter account and found over 1,000 active API keys for 85 employees, 168 of them hadn't been used in months. The new Security Center helps you manage and de-risk your API keys with one place to see every key, know which ones are risky and why, clean them up, and lock them to your own network.

Send a whole workload in one POST, collect the results within 24 hours, and typically pay half the per-token price. Across 230k+ batches that completed over our two week beta period, the median finished in 7 minutes.

US In-Region Routing is live, joining the EU. Send requests to us.openrouter.ai and they are decrypted only inside the United States and served only by providers running there, across models from OpenAI, Anthropic, Google, NVIDIA, Thinking Machines, DeepSeek, Moonshot, and Qwen.

The shell server tool gives any model on OpenRouter a hosted Linux shell, and the Files API moves files in and out of it. Commands run in an isolated container, the model reads back stdout, stderr, and exit codes, and files the run writes can be downloaded afterward. Available today in beta on the Responses and Messages APIs.

We ran 39 image models through 15 deliberately hard prompts and put every result on one page. Compare fill levels, finger counts, poster text, and edits side by side, with the price and generation time under each image.

See what your team spent on every model, save the charts you keep rebuilding, click any bar to land in the logs behind it, and query the same data from your terminal with the Analytics API.

We published live leaderboards grading web search configurations across four task suites. Compare engines, search depth, and models by quality, cost, and speed before your agent makes its first search.

Our new Auto router is informed by the model decisions of millions of people, and it outperforms conventional task-based classifiers across a wide spectrum of tasks.

Using OpenRouter with your favorite harness usually means ad-hoc scripts or a wall of environment variables. Install the ori CLI, log in once, and every supported harness runs with an optimized configuration out of the box.

Choosing the model inside your product is often decided without a systematic method. Ori Eval answers the question with proof: it runs your agent on your own prompts, checks the tools it called, and grades the answers.

The LangChain integration now has a dedicated package: langchain-openrouter on PyPI and @langchain/openrouter on npm. Most guides still teach the old ChatOpenAI base_url override. This is the current path, plus the routing economics the docs skip.

Define a taxonomy and a small model tags every generation in your workspace by department, task type, or agent complexity. Filter your logs and group your Activity analytics by the results.

Send base64 audio to POST /api/v1/audio/transcriptions and get JSON text plus a usage object back, with the same API key you already use for chat. Here's the full request contract, the model families, and the limits to design around.