跳轉到主要內容

Grok 4.7 (xhigh)

SpaceXAIGrokProprietary

描述

Grok 4.7 is SpaceXAI's frontier model for coding, agentic tasks, and knowledge work. It uses a larger base model than Grok 4.6, with longer RL on harder multi-hour tasks, stronger self-verification, and native Grok Bot harness understanding. Reasoning efforts: low, medium, high, xhigh (default high). 500K context; same price and speed class as Grok 4.6 ($2/$0.50 cached/$6 per 1M tokens under 200k prompts; ≥200k prompts bill at $4/$1/$12). Grok 4.7 Fast uses the same model on faster infrastructure at twice the token rates and twice the output speed, and is available only in Cursor and Grok Build — not as a separate public API model id (docs expose only `grok-4.7`). Pretraining knowledge cutoff June 2026, with supplemental training data through August 2026. Multimodal: text and image in, text out.

發布日期
2026-09-21
參數規模
—
上下文長度
500K
支援模態
image, pdf, text

能力雷達圖

46
general
57
coding
40
reasoning
52
science
40
agents
80
multimodal

排行榜排名

領域#排名分數來源
程式碼能力榜79
86.0
AA
通用能力榜22
79.0
AA
科學能力78
77.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Agents

AA-Briefcase v1.11657.00 / 3000自報

Code

CyberGym80.3%自報
DeepSWE 1.171.0%自報
CursorBench 4.046.3%自報
SWE-Marathon46.0%自報
CVE-Bench36.6%自報
CathedralBench29.0%自報
FrontierSWE V229.0%自報

Engineering

EEBench66.0%自報
CADGenBench44.4%自報

General

GDPval (Elo)1695.00 / 3000自報

Healthcare

HealthBench Professional56.7%自報

Knowledge

Harvey LAB (Vals)19.6%自報

Legal

Harvey's Legal Agent Benchmark19.6%自報

Reasoning

BixBench MCQ88.4%自報
Terminal-Bench 4.038.0%自報

Safety

WMDP-Cyber88.1%自報
WMDP-Bio88.1%自報
WMDP-Chem84.9%自報
ProtocolQA Open-Ended70.4%自報
Virology Capabilities Test63.0%自報

Science

LAB-Bench Practical76.8%自報
LatchBio Capabilities v1.044.5%自報

AA 評測指數

(Artificial Analysis)
Lcr(Artificial Analysis)
76.7
Scicode(UIUC + Argonne National Lab (2024))
57.4
Intelligence Index(Artificial Analysis)
46.4
Hle(Center for AI Safety + Scale AI (2025))
43.1

LLM Stats 分類評分

(LLM Stats (zeroeval))
Safety
80
General
60
Healthcare
60
Agents
60
Code
60
Reasoning
40
Tool Calling
40

定價

輸入價格$2 / 1M tokens
輸出價格$6 / 1M tokens
混合價格(3:1)$3 / 1M tokens
快取讀取價格$0.5 / 1M tokens

速度

Tokens/秒72.0
首Token延遲19.93s
首回答延遲19.93s

供應商價格排行

供應商價格排行

4 個供應商

最便宜: xAI最貴: Venice AI
供應商輸入輸出
1xAI最便宜
$0
$0.00001
2SpaceXAI主要
$2
$6
3DevPass (LLM Gateway)
$2
$6
4Venice AI
$2.27
$6.8

比較該模型在不同 API 供應商之間的定價。

外部連結