Jev can be used only in headless mode or through the Provider API. Ahmad Awais also open-sourced the mod cmd-mod-jev-nudge and says the free access is for keeping an agent running while more work remains.
Arena.ai has added Claude Opus 5.5 to Agent Arena and to Battle Mode for WebDev, Text, Vision, and Document. Claude says it is the first Claude 5.5 model, performs at the level of Claude Fable 5.1 for most tasks, and costs 40% less to run than Opus 5.
Teams in ChatGPT, Claude, Cursor, or custom agents can use one interface to access structured and unstructured data, insights, and answers from Genie One, grounded in governed business context from Genie Ontology.
StepFun says onPanda, its internal tool for LLM data annotation and model inspection, is now open source. It reports a 52% lower median annotation time than manual post-editing and on-policy fidelity of ΔPPL under 1% versus the model’s resampling baseline.
AnthropicAI's Claude Opus 5.5 is generally available in GitHub Copilot for agentic coding, long-running agentic tasks, and knowledge work. GitHub's early testing found task resolution comparable to Claude Opus 5, with significantly fewer steps and tokens and fast error recovery on multistep tasks.
On September 22, 2026, Scale AI released SWE-Bench Pro V2 as a refreshed public split of SWE-Bench Pro.
Cursor says the model is the new top result on CursorBench at 57.8% (Max) and costs 40% less per task than Opus 5.
OpenAI says it will support independent assessments with deep access across training, evaluation, and deployment, and is outlining four priority areas and principles for rigorous, secure, and independent work.
theopenfrontier.com compares open models across coding, agents, long context, vision, finance, and other tasks, and shows cost alongside quality, including possible savings from moving to open models.
Contributors from IBM, Meta, and Hugging Face present hardware-agnostic layers intended to balance frontier performance with portability for users running diverse models on diverse hardware.
LangChain says Managed Deep Agents can build these agents with a few lines of code. Its example, Patch, is tagged in a Slack thread, given a feature description, and opens a pull request that includes the diff.
Users can build a trading strategy, backtest it, and forward-test it against live Hyperliquid markets before committing real capital.
The credits can be used for research, strategy generation, backtesting and Paper Trading. Automated execution is listed only as an eventual use.
Paper Trading is now available on Sorin, part of HeySorinAI’s trading stack. Users can build a trading strategy with AI, backtest it, deploy it to live HyperliquidX markets, and have Sorin run it continuously in the background.
Claude says Opus 5.5 performs at the level of Claude Fable 5.1 for most tasks and costs 40% less to run than Opus 5. Pi says users who want it in Pi can wait or run pi update --models.
Perplexity has made Claude Opus 5.5 available as the Standard effort level in Perplexity Computer. On Perplexity’s WANDR benchmark, it scored 0.610 at $4.13 per task, slightly outperforming Claude Fable 5.1 while costing 67.6% less per task.
v0 now supports Claude Opus 5.5. Claude says it is the first model in the Claude 5.5 family, performs at the level of Claude Fable 5.1 for most tasks, and costs 40% less to run than Opus 5.
Drivers can use voice commands to order products and manage email, calendars, finances, and other tasks, Polymarket says.
OpenRouter lists those three differences for developers moving off Opus 5, and its migration guide covers what changed and how to update prompts.
OpenRouter is offering AnthropicAI’s Claude Opus 5.5 with a 1 million-token context window at $4 per million input tokens and $20 per million output tokens, a rate it says is 20% lower per token than Opus 5.
