Which AI desktop platform should I choose in June 2026?

Pick by primary use. OpenAI's super app (consolidating ChatGPT, Codex, Atlas) is best for prosumers and developers who span coding, browsing, research, and content creation. Google Antigravity 2.0 is best for development teams in the Google stack who want a standalone agent-first platform plus a VS Code-based IDE fork. Anthropic Claude Code is best for terminal-native engineers who want the deepest codebase reasoning and dynamic multi-subagent workflows with Opus 4.8. All three are converging on the same insight — agents need persistent context across surfaces — but ship in different shapes for different audiences.

Which has the best models in June 2026?

Anthropic Claude Opus 4.8 leads Intelligence Index at ~61 (best overall, best for coding). GPT-5.5 follows at 59-60 (best for daily chat and knowledge work). Gemini 3.1 Pro at 57 (best for hardest-mode reasoning). Gemini 3.5 Flash at 55 (best for price-performance). Inside the desktop platforms, OpenAI's super app primarily uses GPT-5.5 and GPT-5.5 Instant. Antigravity 2.0 uses Gemini 3.5 Flash for speed and Gemini 3.1 Pro for deeper tasks. Claude Code uses Opus 4.8 (high effort default) and Sonnet 4.6. For raw coding performance on SWE-bench, Opus 4.8 currently leads.

Are these three desktop apps free or paid?

All have free tiers and paid plans. OpenAI: ChatGPT Free (limited), Plus $20/mo, Pro $200/mo, Business $25/user/mo. Google Antigravity: free tier with Google AI Pro ($20/mo) or Ultra ($120/mo); Antigravity CLI itself is free with usage limits. Anthropic Claude Code: free trials, Pro $20/mo, Max tiers $100+/mo with credits-based usage caps (the Fable 5 paywall hit June 22, 2026 reshaped this). Heavy users typically end up paying $200-400/month across one or two of these for production-grade access.

Can these desktop platforms call each other?

Increasingly yes, via Model Context Protocol (MCP). All three support MCP servers in 2026, which means an Antigravity agent can call out to an OpenAI tool, or Claude Code can invoke a Codex sub-agent for a specific task. The cross-platform UX is still rough — there's no unified billing, no unified memory across vendors — but the technical wiring works. In practice, most users pick one as their primary surface and use MCP for narrow integrations rather than running all three simultaneously.

Quick Answer

OpenAI Super App vs Antigravity 2.0 vs Claude Desktop

Published: June 21, 2026

OpenAI Super App vs Google Antigravity 2.0 vs Anthropic Claude Code Desktop

Three desktop AI platforms, three philosophies, one underlying insight: agents need persistent context across surfaces. OpenAI’s super app is consolidating ChatGPT, Codex, and Atlas. Google’s Antigravity 2.0 shipped as a standalone app + IDE fork + Go CLI at I/O 2026. Anthropic’s Claude Code keeps winning the developer mindshare battle. Here’s the head-to-head for June 2026.

Last verified: June 21, 2026.

TL;DR

OpenAI super app: Prosumer + developer. Spans chat, code, browsing, image generation. Best for cross-domain workflows.
Google Antigravity 2.0: Developer-first agent platform. Standalone app + IDE fork + CLI. Best for agent-native dev teams.
Anthropic Claude Code: Terminal-first. Deepest codebase reasoning. Best for engineers who want max model quality (Opus 4.8) and dynamic subagent workflows.

Direct comparison

Dimension	OpenAI super app	Google Antigravity 2.0	Anthropic Claude Code
Shape	Unified desktop app (consolidating)	Standalone app + IDE fork + Go CLI	Terminal + VS Code/JetBrains plugins
Released	Phased rollout 2026	I/O May 19, 2026	2024 (ongoing)
Primary persona	Prosumer + developer	Developer	Engineer
Models	GPT-5.5, GPT-5.5 Instant	Gemini 3.5 Flash, Gemini 3.1 Pro	Claude Opus 4.8, Sonnet 4.6, Fable 5*
Context window	128K-1M depending on model	1M default	1M default (Opus 4.8)
Coding bench (SWE-bench)	~71% (GPT-5.5)	~67% (Gemini 3.5 Flash), 73% (3.1 Pro)	~80.8% (Opus 4.8)
Multi-agent / subagents	Codex parallel jobs	Multi-agent native (Antigravity orchestrator)	Opus 4.8 dynamic workflows (hundreds of subagents)
Browser integration	Yes (Atlas folding in)	No (separate Chrome)	No
Image / video	Yes (ChatGPT Images 2.0, Sora folding)	Limited (Imagen 3, Veo separate)	No (third-party MCP only)
Persistent memory	ChatGPT Dreaming	Project memory	CLAUDE.md, skills
Free tier	Yes (limited)	Yes (with Google account)	Limited trials
Paid tiers	$20 / $200 / $25 user	$20 / $120 Pro/Ultra	$20 / $100+ Max tiers
MCP support	Yes	Yes	Yes (most mature)
Best at	Cross-domain workflows	Agent-first dev workflows	Deep code reasoning, long horizons

*Fable 5 access is region-restricted as of June 12, 2026 due to a US government export directive; check Fable 5 cybersecurity restrictions.

When OpenAI’s super app wins

You span multiple domains in a day — research, writing, coding, browsing, image generation — and you want a single surface where memory persists across all of them.

Win scenarios:

A solo founder researching a market, writing a positioning doc, prototyping a landing page, generating hero images, and emailing the team — all from one app.
A consultant building a client deliverable that mixes research, code samples, charts, and prose.
A prosumer who’s also a hobby developer.

Watch-outs:

Less mature than the other two for pure-coding workflows.
The “super app” is still being assembled in June 2026; full unification is months away.
Pricing scales fast: Pro at $200/mo is the practical tier for real usage.

When Google Antigravity 2.0 wins

You’re a developer or team that wants an agent-first development platform with both a standalone agent surface (for orchestrating long-running jobs) and an IDE (for hands-on coding).

Win scenarios:

A backend team running long-horizon refactors with multiple agents in parallel.
An ops team using the Antigravity CLI for scheduled agentic tasks.
Anyone in the Google Cloud ecosystem who wants Gemini Enterprise integration.

Watch-outs:

Newest of the three; some rough edges.
The Antigravity IDE (VS Code fork) competes with Cursor and Windsurf — feature parity is close but Cursor is more mature.
Gemini Code Assist is being retired for individual users in favor of Antigravity; check the migration timeline if you’re a current user.

When Anthropic Claude Code wins

You’re an engineer who lives in the terminal and want the highest-quality coding model with the deepest codebase reasoning.

Win scenarios:

Long-running autonomous coding tasks (codebase migrations, big refactors).
Workflows requiring hundreds of parallel subagents (Opus 4.8 dynamic workflows).
Anyone who values primitives (CLAUDE.md, skills, hooks, MCP servers) over GUIs.
Teams already invested in Anthropic via API + Claude Code Pro/Max.

Watch-outs:

Terminal-first; if you don’t live there, the value is less obvious.
The June 22, 2026 Fable 5 paywall and credits cap reshaped pricing for heavy users.
Mythos 5 access is restricted; consider this for sensitive deployments.

What about Cursor, Windsurf, and the IDE-first tools?

Cursor and Windsurf remain dominant IDE-first AI tools, more mature than the Antigravity IDE for hands-on coding workflows. They’re not desktop platforms in the same sense — they’re IDEs that ship with deep AI integration. Many developers in 2026 use Cursor + Claude Code together (Cursor for hands-on, Claude Code for autonomous), or Cursor + ChatGPT (Cursor for code, ChatGPT for everything else).

The desktop platform vs IDE-first AI tools distinction:

Desktop platforms (OpenAI super app, Antigravity 2.0, Claude Code) want to be the surface where you do all your AI work.
IDE-first tools (Cursor, Windsurf) want to be the best place to write code, full stop.

These aren’t mutually exclusive. Most practitioners run one of each.

The model question

For pure model quality in June 2026:

Best overall and coding: Claude Opus 4.8 (Intelligence Index ~61, SWE-bench ~80.8%).
Best for daily chat and knowledge work: GPT-5.5 (II 59-60).
Best for hardest reasoning and accuracy: Gemini 3.1 Pro (II 57).
Best price/performance: Gemini 3.5 Flash (II 55, $9/1M output).

Each desktop platform is anchored to its vendor’s models, so model choice is really platform choice. The exception is GitHub Copilot CLI, which lets you swap between Claude Sonnet 4.5, GPT-5, and others — but that’s a CLI tool, not a desktop platform.

What to pilot

For a 4-week evaluation in June-July 2026:

Pick one based on your primary persona (prosumer / dev team / individual engineer).
Run a realistic week of work — not synthetic benchmarks.
Measure: time-to-first-acceptable-output, accuracy on your specific domain, friction (how often you fall back to manual work).
If you’re a dev team: also evaluate Cursor or Windsurf side by side as the IDE layer.

Don’t try to evaluate all three desktop platforms in a single pilot — the context-switching kills your read on each.

Sources

OpenAI Codex desktop release notes, ongoing 2026
The New Stack: “OpenAI’s superapp takes shape”
Google I/O 2026 announcements (May 19)
Digital Applied: “Antigravity 2 — Google desktop agent deep dive”
Anthropic: Claude Opus 4.8 release notes
FelloAI: “Best AI models in June 2026”
Apidog: “Claude Opus 4.8 vs GPT-5.5 vs Gemini 3.5”

Published June 21, 2026 by andrew.ooo. See What is OpenAI super app and Antigravity 2.0 vs Cursor.