Introducing Ori Harness: the easiest way to use your favorite harness with OpenRouter.
Ori configures Codex, Claude Code, OpenCode, and Hermes out of the box to work with OpenRouter, with settings optimized per harness, for any model.
Introducing Ori Eval: the easiest way to write your first eval.
There's no definitive best model, only the best model for each task. Ori Eval leverages OpenRouter's APIs for each task in your codebase, and then evaluates the results.
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Four open-weight models have crossed into territory where they are powering real agentic pipelines.
New post in our Insights blog about why companies are choosing them in June:
Introducing the OpenRouter MCP, live model intelligence right inside your agent
Your agent builds and ships, but when it comes to choosing the right model for the right job, it guesses from 6 month old training data
Watch it pick, price, and test the right model:
Today we’re announcing our $113M Series B led by @CapitalGVC.
Over the last 6 months, weekly volume on OpenRouter grew from 5T to 25T tokens as AI rapidly shifts from experimentation into production.
We’re excited for what comes next.
Parallel Search is now in @OpenRouter.
Use Parallel for configurable context size, domain filtering, and clean, structured results that deliver the best accuracy and token efficiency.
3 new models from @xai's Grok creative stack are live on OpenRouter:
• Grok Imagine Image Quality: photoreal image generation and editing
• Grok Imagine Video: short clips from text, image, or reference
• Grok Voice TTS 1.0: 5 voices across 20+ languages
More on each below 🧵