Cursor 3, Google Antigravity 2.0, and OpenCode are three completely different answers to the same question — what should an agentic coding tool actually look like in 2026 — and after going through a month of hands-on comparisons, benchmark data, and real developer feedback, the honest finding is that the underlying models have converged so tightly that the tool around them now matters more than the model inside them.
A year ago you picked the tool with the best AI. Today you pick the tool with the best workflow, the right pricing structure, and the form factor your daily development habit can actually live inside.
It's also worth noting upfront that this category is moving fast enough that several things have changed since the tools launched. Windsurf became Devin Desktop on June 2, 2026. Gemini CLI lost its free individual tier on June 18, folding into Antigravity CLI. And Cursor repriced its Teams tier in June. I've used the current state of each tool rather than what press coverage said at launch.
Quick Comparison Table
| Feature | Cursor 3 | Google Antigravity 2.0 | OpenCode |
|---|---|---|---|
| Form Factor | Full AI-native IDE (VS Code fork) | Multi-surface platform: desktop app, CLI, SDK, managed agents | Terminal TUI — bring your own model, no IDE |
| Pricing | Hobby (free); Pro $20/mo; Teams $32–96/seat/mo (annual) | Free preview; Google AI Pro $19.99/mo; AI Ultra $99.99/mo | Free (open-source, MIT licensed) — pay only for model tokens |
| Default Model | Composer 2.5 (in-house) + frontier model routing | Gemini 3.5 Flash (~289 tokens/sec) / Gemini 3.1 Pro | 75+ providers — Claude, GPT, Gemini, local via Ollama |
| Parallel Agents | Up to 8 parallel agents in separate Git worktrees | Yes — Agent Manager with visual multi-workspace view | No dedicated parallel agent orchestration |
| GitHub Stars | Proprietary (closed source) | Partially open (CLI is open-source) | 172,198 stars (most-starred open-source coding agent) |
| Best For | Developers who want the fastest in-editor agent experience | Teams deep in the Google/Gemini ecosystem, multi-agent orchestration | Privacy-conscious devs, local model users, cost-sensitive workflows |
Cursor 3: Still the In-Editor Standard, Now With Parallel Agents
Cursor's April 2026 release rebuilt the product around what it calls the Agents Window — instead of a single AI assistant helping you code, you get up to eight parallel agents running simultaneously across local machines, Git worktrees, SSH connections, and cloud environments. You become the architect; the agents are the builders. Background Agents work in isolated VMs on their own Git branches and open pull requests when they finish. Cloud Agents can be triggered from Slack, GitHub, or mobile and keep running with your laptop closed.
What makes Cursor's approach different from Antigravity's parallel agents isn't the number — it's the integration depth. Because Cursor has spent years building context awareness of your codebase, the agents understand project structure, existing conventions, and CI behavior in a way that parachuted-in agents from a separate platform don't. The New Stack's six-month analysis put this plainly: when model benchmarks converge, the harness around the model does most of the work, and Cursor's harness is the most mature in the industry right now.
The pricing shift in June 2026 is worth understanding before committing. Cursor restructured Teams into Standard seats ($32/seat/month annual, $40/month monthly) and Premium seats ($96/seat/month annual, $120/month monthly with 5x Standard usage). The Hobby tier remains free, and Pro at $20/month covers most individual developers — but the jump to Teams pricing is steep enough that smaller teams should run the numbers carefully before assuming Cursor is the most cost-effective choice at scale.
Google Antigravity 2.0: The Most Ambitious Rebuild, With Real Friction
Antigravity's journey since its November 2025 launch has been turbulent in a way that tells you something important about Google's ambitions here. It launched as an AI-native VS Code fork, rebuilt itself into a five-surface platform at Google I/O on May 19, 2026 — desktop app, CLI, SDK, Managed Agents API, and enterprise layer — then simultaneously killed Gemini CLI's free individual tier on June 18 and replaced it with the new Antigravity CLI built in Go. That combination of genuine capability and rough rollouts is exactly what one developer comparison described as Antigravity's defining tension: Google has nailed the automation vision, but the tool is still an intermittent resource hog and the Agent Manager loses connection without warning.
The Agent Manager is genuinely different from anything Cursor or OpenCode offers. You open it, describe what you need built, and multiple agents go to work across separate workspaces simultaneously, each one communicating through artifacts — implementation plans, screenshots, task lists — rather than just code diffs. For complex projects where you want to delegate several workstreams at once without reviewing every line, this architecture makes more sense than Cursor's sequential approach.
The default model is now Gemini 3.5 Flash, which Artificial Analysis benchmarks at roughly 289 output tokens per second — approximately four times faster than Claude Opus 4.8 or GPT-5.5 — though Google AI Pro users can switch to Gemini 3.1 Pro, which posts 80.6% on SWE-bench Verified. Pricing is free for preview access, $19.99/month for Google AI Pro, and $99.99/month for AI Ultra. One important flag: if your team chose Antigravity specifically because Gemini CLI was free, that free tier is now gone for individuals — plan for a paid path accordingly.
OpenCode: The Open-Source Wildcard With 172,000 GitHub Stars
OpenCode, now maintained by Anomaly (formerly the SST team), has done something unusual in this market: it became the most-starred open-source coding agent on GitHub at 172,198 stars as of June 2026, ahead of Gemini CLI (105,000) and OpenAI Codex CLI (89,000), without any corporate marketing budget behind it. Morph's coding agent leaderboard places it as the clear open-source recommendation for model-agnostic and cost-sensitive workflows.
The core proposition is simpler than either Cursor or Antigravity: install it, point it at any of 75+ supported model providers (or a local model through Ollama, LM Studio, or llama.cpp), and use it as a terminal TUI agent. Two built-in agent modes — a full-access "build" agent and a read-only "plan" agent you toggle with Tab — cover most coding workflows. The cost structure is genuinely different: you pay nothing for the tool itself, and you pay only for the tokens you send to whichever model you choose, with the option to run entirely locally at zero per-token cost.
The honest limitations are real. OpenCode doesn't have an IDE, a parallel agent orchestration layer, or a visual diff workflow the way Cursor does. Its TUI interface assumes terminal comfort — it's not a tool you hand to a non-developer and ask them to figure out. But for privacy-conscious teams who need to keep code on-premise, for developers burned by Cursor's credit billing surprises, or for anyone who wants to run Qwen, DeepSeek, or a local Llama model against their codebase without vendor lock-in, OpenCode has earned its star count.
So Which Agentic Coding Tool Should You Actually Use?
- Want the fastest in-editor experience with mature codebase context and parallel agents you can actually control? Cursor 3 remains the refined choice for developers who want to stay productive rather than manage an agent platform — just model out the Teams pricing before committing at scale.
- Deep in the Google/Gemini ecosystem and want to delegate entire workstreams to visual parallel agents? Antigravity 2.0's Agent Manager has no real equivalent, and the Managed Agents API is a serious enterprise play — but go in knowing the rollout has been rocky and the CLI migration was painful.
- Privacy-first, cost-sensitive, or need to run local or open-source models against your codebase? OpenCode is the clear answer — MIT-licensed, 75+ providers, zero tool cost, and the most-starred open-source agent in the category by a wide margin.
The most practical advice from developers who've been living with all three for months is to stop treating this as a permanent single-tool choice. A common 2026 stack: Cursor for in-editor inline work, OpenCode for headless terminal tasks or local model runs, and Antigravity for the specific multi-agent delegation workflows where its visual Agent Manager actually shines. The tools are cheap enough and different enough that combining them by task type beats picking one and living with its weaknesses.
Frequently Asked Questions
What is Google Antigravity 2.0 and how is it different from Gemini CLI?
Antigravity 2.0, relaunched at Google I/O on May 19, 2026, is a multi-surface agentic development platform covering a desktop IDE, CLI, SDK, and Managed Agents API, while Gemini CLI was a simpler terminal agent that lost its free individual tier on June 18, 2026 and has been largely replaced by the Antigravity CLI.
Is OpenCode really free to use?
Yes — OpenCode is MIT-licensed and free to install and run, with no per-seat fees, though you pay for whatever model tokens you send to your chosen provider, or nothing at all if you run a local model through Ollama or LM Studio.
How many parallel agents can Cursor 3 run?
Cursor 3's Agents Window supports up to eight parallel agents running simultaneously across local machines, Git worktrees, SSH, and cloud environments, with Background Agents working in isolated VMs that open pull requests when their tasks are complete.
Which agentic coding tool has the best SWE-bench score?
Tool scores depend on which underlying model they run — Cursor can run Claude Opus 4.8 (88.6% SWE-bench Verified), Antigravity defaults to Gemini 3.1 Pro (80.6%), and OpenCode can run any model you configure, including those at the top of the leaderboard.
Can OpenCode replace Cursor for professional development work?
For terminal-comfortable developers willing to bring their own model, yes for most workflows — OpenCode handles repo-wide edits, auto-commits, and long-horizon terminal tasks fully, though it lacks Cursor's visual diff review, in-editor integration, and parallel agent orchestration layer.