The core decision: orchestration platform or AI IDE
Google Antigravity has expanded from an agent-first IDE into a broader development platform. Antigravity 2.0 is a standalone command center for managing multiple local agents, grouping conversations into projects, operating across workspaces, and scheduling routine work; the Antigravity IDE and CLI provide closer-to-code and terminal-first surfaces over the same agent family. Trae remains a professional AI coding environment with IDE Mode and SOLO Mode, plus custom agents, subagents, MCP tools, code indexing, terminal work, preview, and repository actions. Both products automate coding, but Antigravity now treats orchestration itself as the primary product layer.
Google Antigravity wins because its current platform offers a clearer path from one interactive agent to parallel local work, terminal access, programmatic integration, and enterprise consumption through Google Cloud. Trae can be easier to adopt as a familiar coding editor and offers a notably lower paid entry point, but it is competing from the IDE upward. Buyers should also separate Trae IDE from Trae Work, the broader assistant product created from the former SOLO brand; Trae IDE still includes SOLO Mode for autonomous software work.
Agent execution and parallel work
Antigravity 2.0 acts as a command center rather than merely another editor pane. Official material describes multiple local agents in parallel, projects spanning workspaces, scheduled messages, artifacts that expose plans and results, and both synchronous and asynchronous interaction. The Antigravity CLI uses the same agent harness and can import conversations into the graphical surface. This continuity is valuable for developers who move between high-level delegation, terminal supervision, and detailed code inspection while keeping one agent system.
Trae SOLO Coder can inspect a codebase, manage Git branches, fix bugs, add features, write tests, run builds, review changes, and create specialized subagents. Plan mode lets a developer review and refine an implementation path before execution, while code indexing supports repository context. Trae's custom-agent framework allows teams to define tools, skills, logic, and reusable specialists. It is capable agentic software, but the dominant workflow remains inside Trae IDE. Antigravity's advantage is a more explicit orchestration layer for multiple concurrent agents and surfaces.
Models, customization, and ecosystem
Antigravity's individual offering includes access to multiple Gemini models and selected non-Google models, with plan quotas governing usage. Its ecosystem now includes Antigravity 2.0, IDE, CLI, and an SDK preview, which reduces the need to treat the desktop editor as the only entry point. Google Cloud customers can use the agent through Gemini Enterprise Agent Platform with project integration and consumption-based pricing. This makes Antigravity attractive to teams already invested in Google Cloud governance and model infrastructure.
Trae provides multi-model agent workflows, MCP integration, reusable rules, memories, skills, and custom subagents. Its IDE includes both a traditional editing mode and SOLO Mode, so developers can shift between hands-on coding and delegated execution without leaving the product. That flexibility is practical for individuals and smaller teams. Antigravity is the more ambitious platform; Trae is the more conventional IDE purchase. Teams should validate extension compatibility, language tooling, model availability, and regional service behavior with their own repositories before standardizing.
Pricing and quota structure in 2026
Google Antigravity offers an Individual tier at $0 with basic weekly rate limits, unlimited Tab completions and command requests, plus a selection of supported agent models. Google AI Pro costs $20 per month for more capacity. Two Google AI Ultra options now target heavier use: $100 per month with roughly five times the Pro token capacity and $200 per month with roughly twenty times the Pro capacity. Model pools and overage credits complicate the final cost, but the ladder is clearly tied to how regularly Antigravity becomes a daily driver.
Trae's original free-all-features positioning is no longer current. In February 2026, Trae introduced token-based Lite, Pro, Pro+, and Ultra memberships ranging from $3 to $100 per month, with a 14-day Pro trial for new users. The appropriate comparison is therefore no longer free Trae versus paid Antigravity. Trae retains a lower paid entry point, while Antigravity's free individual tier can be enough for light experimentation. Heavy users of either platform should compare model access, token accounting, context size, bonus usage, and overage behavior rather than relying on the subscription label alone.
Privacy, security, and enterprise readiness
Antigravity's Google Cloud path is the stronger enterprise story in this pairing. Google states that enterprise sessions can run under Google Cloud terms, with prompts, responses, code, and related telemetry kept within the customer's private environment boundary, while billing follows Agent Platform consumption. Central administrative controls are still evolving, so buyers should verify which policies are available now. For individual plans, teams must separately review Google AI terms, model-provider handling, agent permissions, browser actions, and local workspace access.
Trae states that source files remain local, while files may be uploaded temporarily to compute embeddings and plaintext is deleted after processing; retained embeddings and metadata remain part of the context system. It also documents regional storage in the United States, Singapore, and Malaysia, plus privacy controls and ignore mechanisms. These are useful disclosures, not a substitute for a contractual review. Organizations should test sandbox behavior, agent command approval, data residency, identity controls, and audit needs before placing sensitive repositories in either environment.
Which should you choose?
Choose Trae when the main requirement is an accessible AI IDE with a low-cost paid entry point, an integrated SOLO workflow, custom subagents, skills, MCP, and familiar hands-on editing. It suits individuals and smaller teams that want to alternate between direct coding and autonomous implementation without adopting a larger cloud or agent-platform strategy. Trae can also be attractive when its specific models, regional availability, or membership economics fit the team's workload better than Google's quota ladder.