Best for
Best for developers tackling complex, multi-file refactors and architectural changes from the terminal.
- Freelancers
- Small and mid-sized
- Enterprise
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AI Code Comparison
At a glance
Best for
Best for developers tackling complex, multi-file refactors and architectural changes from the terminal.
Best for
Best for developers who want one tool that switches between hands-on editing and fully autonomous task execution.
Cataleo does not name a winner. Both statements come from the vendors themselves.
| Criterion | Claude Code | TRAE |
|---|---|---|
| Starting price | Included in Claude Pro, $20 / month Max from $100 per month. Also available through the Anthropic API, billed per use. | Free tier; Pro $20 / month Annual billing brings Pro to $200 per year, about $16.70 per month. Pro+ $60 and Ultra $200 monthly, or $600 and $2,000 annually. A cheaper Lite plan at $8 per month is sold only in a listed set of countries. Each paid plan carries a dollar usage quota of the same size as its monthly price. |
| Free trial | Through a Claude subscription | Free plan with a limited monthly allowance |
| Commercial use | Yes | Not stated |
| Output | Terminal agent with project-level planning | AI-assisted editing and autonomous task execution in an IDE |
| Hosting | Not stated | Desktop IDE, plus TraeWork on web, desktop and mobile |
| Where it runs | Terminal, pairs with any editor | Its own desktop IDE with two modes, IDE and SOLO, plus TraeWork as a separate web, desktop and mobile client; remote work over Remote SSH and WSL |
| Inline completions | No, it works by instruction rather than by autocomplete: the CLI and the VS Code and JetBrains extensions offer plan review, inline diffs and @-mentions, not tab completions as you type | Yes, CUE: code completion, chained completion, multi-line edits, next-edit prediction and navigation, plus dependency imports and reference renaming in Python, TypeScript and Go |
| Agent mode | Yes, terminal-native agent with a project-level planning loop, deep multi-file context and MCP support | Yes, agents that plan multi-step work and call tools, with custom agents carrying their own prompts, MCP servers and toolsets; SOLO mode runs planning, generation, testing and preview end to end from a spoken or written requirement |
| Model choice | Yes, Opus, Sonnet, Haiku and Fable models, switched with the /model command, the --model flag, an environment variable or a settings file, including extended 1M-token context variants | Yes, built-in models include GPT-6-Astra, GPT-5.6-Sol, GPT-5.6-Terra, GPT-5.6-Luna, GPT-5.5, GPT-5.4, GPT-5.2, Gemini-3.1-Pro-Preview, Gemini-3-Flash-Preview, Seed-2.1-Turbo, GLM-5.2, MiniMax-M3, MiniMax-M2.7 and Kimi-K2.5; custom models can be added with an API key over the OpenAI Chat Completions or Anthropic Messages format. The free plan is limited to automatic model selection, paid plans allow manual choice |
| Data control | Team, Enterprise and API usage is not used to train models and is retained for 30 days, with zero data retention available to qualified Enterprise accounts; on Free, Pro and Max the account's own training setting applies. It also runs against Amazon Bedrock, Google Cloud's Agent Platform and Microsoft Foundry, where telemetry and feedback are off by default | Privacy mode stops chats, code snippets and AI output being used for data analysis, product optimisation or model training, and codebase files stay on the local device; agent commands can be run in a sandbox with file access controls and high-risk command blocking |
| Ecosystem fit | Terminal, VS Code and JetBrains extensions, a desktop app, the web and mobile, plus GitHub Actions, GitLab CI/CD, Slack and Chrome; MCP servers connect external tools and the Agent SDK builds custom agents on the same engine | Extension store, built-in Git workflow with AI-written commit messages, AI code review over uncommitted changes, single commits or branch diffs, and MCP servers added from a marketplace or by pasting JSON |
| API | Yes, the Anthropic API | No public API for driving the product; enterprise deployments are arranged through BytePlus |
| Deployment | Cloud (SaaS), Browser-based | Cloud (SaaS), Browser-based |
| Support | more entries Email helpdesk, Chat, Community forum | Email helpdesk |
| Onboarding | Documentation and knowledge base | Documentation and knowledge base |
| Company size | Freelancers, Small and mid-sized, Enterprise | Freelancers, Small and mid-sized, Enterprise |
| Integrations | more entries VS Code, JetBrains IDEs, GitHub Actions, GitLab CI/CD, Slack, Chrome, Model Context Protocol servers, Amazon Bedrock, Google Cloud's Agent Platform, Microsoft Foundry | Figma, Playwright |
Adds a column to the table, from the tools in this category.
Row where the values differ The small markers point at the lower number, the longer list or the stated feature. They describe the data, they are not a verdict.
The short version
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The trade-offs
Claude Code
Strengths
Limitations
TRAE
Strengths
Limitations
Plans
Claude Code
TRAE
What users say
Claude Code
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TRAE
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Where this comes from
Claude Code https://www.anthropic.com/claude-code · no check date recorded yet
TRAE https://www.trae.ai · no check date recorded yet
This table lists factual criteria taken from information the vendors publish themselves. For how we put it together, see the methodology.