Commonstack @commonstack_ai
One API to access the best AI models in the world. Faster agents, lower costs. commonstack.ai Joined January 2026-
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A lot of routing work evaluates isolated prompts, but real agent systems are fundamentally multi-step and budget-constrained. Cool to see benchmarks moving toward execution-grounded, end-to-end evaluation instead of just token-level proxies. TwinRouterBench is a strong step toward realistic agentic routing evaluation — especially the separation between static supervision and dynamic SWE-bench execution. Excited to see where this goes!
Great to see TwinRouterBench accepted to the #RLEval Workshop at #CAIS2026! Per-step routing is quickly becoming essential infrastructure for agentic systems: each planning, coding, retrieval, and verification call should use the cheapest sufficient model without hurting final task success. Proud to open-source TwinRouterBench and contribute a practical benchmark for this problem.
Step-level routing matters. The benchmark to measure it is open today. Bench: github.com/CommonstackAI/… The current leader: github.com/CommonstackAI/… Paper coming soon on ArXiv.
Conflict of interest? acknowledged! We know our router (UncommonRoute) currently leads the leaderboard. Open submissions, locked pricing, public scoring code. If a different router wins, the leaderboard will say so.
How do you evaluate an LLM router fairly? Most benchmarks look at prompts, but routers operate at an agentic-step level. A router that saves money but breaks the task could be worse than no router. We open-sourced TwinRouterBench to measure this honestly. 🧵
Run Claude Code with Commonstack in 4 steps: - generate an API key - set 4 environment variables - run claude - /status to verify Set it up now in 5 minutes with @alex_mirran.
Quickstart -> docs.commonstack.ai/overview/quick….
Here's a guide for using Commonstack with your OpenClaw agent -> docs.commonstack.ai/integration-gu….
GPT-5.5 is live on Commonstack.ai! 🚀🚀 Use the strong reasoning and coding capabilities of GPT-5.5 in your application or with your favorite agentic harness.
DeepSeek-V4-Flash is now live on commonstack.ai Time to feed your agents!
DeepSeek-V4-Flash 🔹 Reasoning capabilities closely approach V4-Pro. 🔹 Performs on par with V4-Pro on simple Agent tasks. 🔹 Smaller parameter size, faster response times, and highly cost-effective API pricing. 3/n
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