AI Briefing#reasoning-effort
The latest AI and developer news about #reasoning-effort, with the original source and a short summary.
The latest AI and developer news about #reasoning-effort, with the original source and a short summary.
Claude Opus 5.5 and Grok 4.7 retained 80% and 86% of their Vals Index scores respectively at just 16% of the leaderboard cost.
The new V2 model achieves 92.33% accuracy on a sampled MMLU-Pro subset while optimizing reasoning token usage for agent workloads.
Tencent has released Hy4 Preview, an open-weight LLM with 770B parameters and 1M context support.
OpenAI Codex adds a 'persistent' option to the reasoning-effort protocol and supports it in the TUI and SDK.
Alibaba's **Qwen 3.8 27B** delivers excellent performance, but its default reasoning setting is set to **xhigh**, resulting in unnecessarily excessive computation.
A bug has been reported where llama.cpp's llama-server fails to pass the reasoning_effort parameter to the chat template.
DeepSeek has released DeepSeek-V4-Pro with enhanced agent performance and revamped its API pricing plans.
In security vulnerability analysis, higher LLM reasoning effort does not always guarantee better performance.
Mistral has released Medium 3.5, a 128B dense model, along with the Vibe remote agent.
For Opus 4.7, refusal tendency stayed the same as effort tier increased, with only response depth growing.
Anthropic disclosed three causes behind performance degradation in Claude Code, SDK, and Cowork.