Opus 4.7 and GPT-5.5 a week apart, Cursor 3.0 makes parallel agents the interface, DeepSeek-V4 brings 1M context as open weights, and Anthropic dissects its own regression.
In April the whole stack reorganized around agents running in parallel: frontier labs shipped models for long coding horizons, the IDEs made multi-agent orchestration the default interface, and the open-weights labs closed the gap at a fraction of the cost. Every link goes to the primary source.
Built for long-running engineering tasks: vision up to 2576px for computer-use agents reading dense screenshots, a new xhigh effort level, and more literal instruction following that costs existing prompts and harnesses a re-tune. Pricing unchanged at $5/$25 per million tokens.
A new flagship with gains in agentic coding and reasoning: 82.7 percent on Terminal-Bench 2.0 and 51.7 on FrontierMath tiers 1 to 3. Rolled into Codex the same month, which shifts the default target of most agent harnesses.
Four variants under Apache 2.0, from E2B to a 26B MoE, built from Gemini 3 research with native support for agentic workflows and edge deployment. Relevant if you want a permissively licensed local model for planning and tool use.
Two open mixture-of-experts models, V4-Pro at 1.6T total and V4-Flash at 284B, with a 1M-token default context and compatibility with both OpenAI and Anthropic API formats. With a deadline attached: the legacy deepseek-chat and deepseek-reasoner retire on July 24.
A 1T mixture-of-experts model with 32B active under a modified MIT license, built for long agentic coding sessions, with an Agent Swarm system reported to scale to 300 sub-agents. Reported to match GPT-5.5 on SWE-Bench Pro at much lower cost.
Computer use on macOS, a built-in browser for verifying frontend work, GitHub PR reviews, SSH to remote devboxes, memory of preferences, and thread automations for recurring work. OpenAI cites over 3 million weekly developers.
The new Agents Window runs many agents in parallel, locally, in git worktrees, in the cloud, and over SSH, plus /worktree, /best-of-n across several models, Design Mode for browser-level UI annotation, and an Await tool that lets agents block on background processes.
Build your own agents on the same runtime, harness, and models that power Cursor. That puts it in direct competition with the Claude Agent SDK and Codex as an embeddable agent platform.
An unusually detailed postmortem: a lowered reasoning-effort default, a caching bug that cleared reasoning history every turn, and a system-prompt verbosity cap that measurably cut coding quality. Required reading on how small harness changes degrade agent output.
A research preview that generates prototypes, decks, and UI mockups from prompts, and reads a linked repo's actual React components to apply your design system. Exports to HTML, PPTX, Canva, or straight into Claude Code.
Google repositioned Vertex AI around the Gemini Enterprise Agent Platform for building and governing autonomous multi-step agents, and announced eighth-generation TPUs sized for agentic inference loads.
About 3.5 gigawatts of additional TPU capacity from 2027, alongside the disclosure that Anthropic's run-rate revenue passed 30 billion dollars. For builders this is a capacity signal: Claude inference and rate limits are being underwritten years out.
