CursorvsCodeArts Agent
Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.
Cursor
Anysphere · AI-native IDE
#12MCP
Panel
6.84 spec wins
- Reliability
- 7.0
- Usefulness
- 7.7
- Cost
- 5.5
- Longevity
- 6.8
“Twenty dollars a month, then 3x, then 20x, and the page never says 20x of what.”
CodeArts Agent
Huawei Cloud · AI-native IDE
#44MCP
Panel
6.81 spec wins
- Reliability
- 7.0
- Usefulness
- 6.8
- Cost
- 5.8
- Longevity
- 7.5
“There is a HarmonyOS agent and an ArkTS-tuned model, available on the China site only, which is a very specific way to be excluded.”
Spec by spec
| Spec | Cursor | CodeArts Agent |
|---|---|---|
| Architecture | ||
| Category | AI-native IDE | AI-native IDE |
| Runs | local, cloud | local, cloud |
| Platforms | macos, linux, windows | macos, linux, windows |
| Context window | 200k default, up to 1M tokens on select models | not documented |
| Protocols | ||
| MCP client | Yes | Yes |
| MCP server | No | Yes |
| Capabilities | ||
| Runs terminal commands | Yes | YesThe v26.5.1 release notes describe a CLI in which you run commands and a TUI in which you use natural language to complete coding tasks. |
| Multi-file edits | Yes | Yes |
| Git operations | Yes | YesGit operations are listed among the coding tasks the CLI completes, and the IDE reviews Git commit diffs. |
| Browser control | Yes | No |
| Sandboxed execution | Yes | No |
| Multi-agent orchestration | Yes | YesSub-agents are created and executed automatically for task decomposition and delegation, and multiple sessions run concurrently. |
| Headless / CI mode | Yes | No |
| Models | ||
| Backbone | Claude, GPT, Gemini, Grok, Composer, Kimi, GLM | GLM-5.2, openPangu-2.0-Flash, openPangu-2.0-Pro, GLM-5.2-ArkTS-SPARK |
| Bring your own model | YesYour own keys reach the vendors' own models (OpenAI, Anthropic, Google) plus your own Azure OpenAI deployment or AWS Bedrock account; Tab completion always stays on Cursor's models. | YesThird-party models can be configured by the individual on the entry and basic tiers, and centrally by an administrator on the professional tier. |
| Local models | NoCustom API keys are limited to OpenAI, Anthropic, Google, Azure OpenAI and AWS Bedrock, with no documented base URL override, so Ollama, LM Studio or a self-hosted endpoint cannot be pointed at. | No |
| Cost | ||
| Pricing model | mixed | mixed |
| Starts at | $20/mo | n/a |
| Free tier | Yes | Yes |
| Bring your own key | Yes | No |
| Openness | ||
| Open source | No | No |
| License | proprietary | proprietary |
| GitHub stars | n/a | n/a |
Which one would each critic pick
| Critic | Cursor | CodeArts Agent | Pick |
|---|---|---|---|
| El Juez | — | — | not enough reviews |
| El Amigo | 7.8 | 7.0 | Cursor — The best editor experience today, with a subscription that turns into a meter the moment you push the agent hard. |
| El Crítico | 6.5 | 6.3 | Cursor — The sandbox is a property of the run mode you pick, and Run Everything drops it, while the pricing page turns limits into a ladder of tiers to climb. |
| El Profesor | 6.0 | 7.0 | CodeArts Agent — Retrieval is split between a cloud index over repositories of tens of millions of lines and a local language server supplying diagnostics, jumps and symbols. Two sources, two jobs. |
| La Inversora | 8.3 | 7.5 | Cursor — Real revenue, real pricing power, an in-house model, and a dependency on the labs it competes with for every frontier request. |
| La Jefa | 7.5 | 7.5 | no preference |
| El Hacker | 4.5 | 5.5 | CodeArts Agent — Closed source, and third-party models are mine to configure on the entry tiers but an administrator's decision on the professional one. It is an MCP server as well as a client. |
Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.