
Grok 4.7 正式發表
我們最強大的模型,專為長時間執行的程式開發與知識工作而生。
A frontier model for long-running coding and knowledge work, at the same price and speed as Grok 4.6.

我們最強大的模型,專為長時間執行的程式開發與知識工作而生。

Grok 4.7 官方模型卡,收錄該模型的能力基準測試與安全防護評估結果。

Cursor 正與 SpaceX 合作,加速我們的模型訓練進程。
Grok 4.7 stays with difficult tasks across many steps. It uses tools, checks its own work, adjusts its approach, and keeps moving toward a finished result.
Grok 4.7 works across large codebases and extended engineering projects. It researches unfamiliar systems, edits across files, runs tests, and verifies the result.
Beyond code, Grok 4.7 works across documents, spreadsheets, presentations, and other professional artifacts. Give it a multi-step project that requires research, analysis, and synthesis.
Grok 4.7 verifies results more carefully than Grok 4.6 and manages longer context, with a 256k standard window and 500k long context.
Grok 4.7 is built for long-running coding and knowledge work. It uses a larger base than Grok 4.6 and a longer training run on harder, multi-hour tasks. It handles projects that span research, analysis, implementation, and several rounds of refinement.
On CursorBench 4.0 it scores 46.3% at extra high effort. It is served at the same price and speed as Grok 4.6, and Cursor subscription plans for individuals and teams include significant usage of the model.
We trained Grok 4.7 jointly with SpaceXAI on a new, larger base model than Grok 4.6. The reinforcement learning run was longer and weighted toward problems that take many hours to complete.
The model is better at verifying its own work and managing longer context. It was also trained to understand the Grok Bot harness, which improves conversational tasks and general knowledge work.
| Grok 4.7 xHigh | Grok 4.6 High | GPT-5.6 Sol Max | Fable 5.1 Max | |
|---|---|---|---|---|
| CursorBench 4.0Software engineering | 46.3% | 40.4% | 41.7% | 51.8% |
| DeepSWE v1.1Software engineering | 71.0% high effort | 65.2% | 72.7% | 70.0% |
| EEBenchElectrical engineering | 64.0% | 53.0% | 39.4% | 56.4% |
| AA Briefcase v1.1Multi-hour office work | 1,657 | 1,546 | 1,487 | 1,678 |
| Terminal-Bench 4.0Multi-hour terminal work | 37.6% | 20.3% | 37.3% | 57.9% |
| Harvey Legal Agent BenchmarkLegal work | 19.6% | 15.8% | 2.5% | 6.7% |
| HealthBench ProfessionalClinical reasoning | 56.7% | 48.5% | 60.5% | 62.1% |
分數取自 Grok 4.7 發布公告。Grok 4.7 的 DeepSWE 成績是在高推理強度下取得的。
在 GDPval 上,Grok 4.7 以超高推理強度取得 1,695 Elo 分;Grok 4.6 為 1,605 分、Fable 5.1 為 1,735 分,GPT-6 Astra 則為 1,542 分。
(Above) Grok 4.7 results across agentic coding and knowledge work benchmarks.
Grok 4.7 is available today in Cursor across desktop, web, iOS, CLI, and our SDK.

A frontier model for long-running coding and knowledge work, at the same price and speed as Grok 4.6.

我們最強大的模型,專為長時間執行的程式開發與知識工作而生。

Grok 4.7 官方模型卡,收錄該模型的能力基準測試與安全防護評估結果。

Cursor 正與 SpaceX 合作,加速我們的模型訓練進程。
Grok 4.7 stays with difficult tasks across many steps. It uses tools, checks its own work, adjusts its approach, and keeps moving toward a finished result.
Grok 4.7 works across large codebases and extended engineering projects. It researches unfamiliar systems, edits across files, runs tests, and verifies the result.
Beyond code, Grok 4.7 works across documents, spreadsheets, presentations, and other professional artifacts. Give it a multi-step project that requires research, analysis, and synthesis.
Grok 4.7 verifies results more carefully than Grok 4.6 and manages longer context, with a 256k standard window and 500k long context.
Grok 4.7 is built for long-running coding and knowledge work. It uses a larger base than Grok 4.6 and a longer training run on harder, multi-hour tasks. It handles projects that span research, analysis, implementation, and several rounds of refinement.
On CursorBench 4.0 it scores 46.3% at extra high effort. It is served at the same price and speed as Grok 4.6, and Cursor subscription plans for individuals and teams include significant usage of the model.
We trained Grok 4.7 jointly with SpaceXAI on a new, larger base model than Grok 4.6. The reinforcement learning run was longer and weighted toward problems that take many hours to complete.
The model is better at verifying its own work and managing longer context. It was also trained to understand the Grok Bot harness, which improves conversational tasks and general knowledge work.
| Grok 4.7 xHigh | Grok 4.6 High | GPT-5.6 Sol Max | Fable 5.1 Max | |
|---|---|---|---|---|
| CursorBench 4.0Software engineering | 46.3% | 40.4% | 41.7% | 51.8% |
| DeepSWE v1.1Software engineering | 71.0% high effort | 65.2% | 72.7% | 70.0% |
| EEBenchElectrical engineering | 64.0% | 53.0% | 39.4% | 56.4% |
| AA Briefcase v1.1Multi-hour office work | 1,657 | 1,546 | 1,487 | 1,678 |
| Terminal-Bench 4.0Multi-hour terminal work | 37.6% | 20.3% | 37.3% | 57.9% |
| Harvey Legal Agent BenchmarkLegal work | 19.6% | 15.8% | 2.5% | 6.7% |
| HealthBench ProfessionalClinical reasoning | 56.7% | 48.5% | 60.5% | 62.1% |
分數取自 Grok 4.7 發布公告。Grok 4.7 的 DeepSWE 成績是在高推理強度下取得的。
在 GDPval 上,Grok 4.7 以超高推理強度取得 1,695 Elo 分;Grok 4.6 為 1,605 分、Fable 5.1 為 1,735 分,GPT-6 Astra 則為 1,542 分。
(Above) Grok 4.7 results across agentic coding and knowledge work benchmarks.
Grok 4.7 is available today in Cursor across desktop, web, iOS, CLI, and our SDK.

(Above) Grok 4.7 scores 46.3% at extra high effort on CursorBench 4.0.
| Model | Score | CostCost / task | TokensTokens / task | StepsSteps / task |
|---|---|---|---|---|
| Grok 4.7 Extra High | 46.3% | $6.01 | 70,141 | 88 |
(Above) Grok 4.7 scores 46.3% at extra high effort on CursorBench 4.0.
| Model | Score | CostCost / task | TokensTokens / task | StepsSteps / task |
|---|---|---|---|---|
| Grok 4.7 Extra High | 46.3% | $6.01 | 70,141 | 88 |