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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.

发布日期
2026-09-21
参数规模
—
上下文长度
500K
支持模态
image, pdf, text

能力雷达图

36
general
50
coding
100
reasoning
51
science估算
40
agents
80
multimodal

缺少专门科学评测时,Science 由 LLM Stats 科学得分或推理能力估算。

排行榜排名

领域#排名分数来源
智能体能力模型榜83
45.0
LS
代码能力榜25
85.0
LB
通用能力榜18
54.0
AA
数学推理11
96.0
LB
推理能力36
83.0
LB
科学能力18
54.0
AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Agents

AA-Briefcase v1.11657.00 / 3000自报

Code

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

Engineering

EEBench66.0%自报
CADGenBench44.4%自报

General

GDPval (Elo)1695.00 / 3000自报

Healthcare

HealthBench Professional56.7%自报

Knowledge

Harvey LAB (Vals)19.6%自报

Legal

Harvey's Legal Agent Benchmark19.6%自报

Reasoning

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

Safety

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

Science

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

AA 评测指数

(Artificial Analysis)
Strategy And Ops
54.8
Finance And Accounting
51.7
Legal
47.2
Healthcare And Medical
46.6
Economics
45.7
Engineering(Artificial Analysis)
41.8
Intelligence Index(Artificial Analysis)
35.5

LLM Stats 分类评分

(LLM Stats (zeroeval))
Productivity
100
Reasoning
100
Agents
100
General
100
Safety
80
Healthcare
60
Code
50
Tool Calling
40
Knowledge
20
Legal
20

定价

输入价格$2 / 1M tokens
输出价格$6 / 1M tokens
混合价格(3:1)$3 / 1M tokens
缓存读取价格$0.5 / 1M tokens

速度

Tokens/秒73.5
首Token延迟64.51s
首回答延迟64.51s

供应商价格排行

供应商价格排行

11 个供应商

最便宜: SpaceXAI最贵: Neon
供应商输入输出
1SpaceXAI主要
$2
$6
2xAI
$2
$6
3302.AI
$2
$6
4OpenCode Go
$2
$6
5GitHub Copilot
$2
$6
6OpenCode
$2
$6
7AIHubMix
$2
$6
8Requesty
$2
$6
9DevPass (LLM Gateway)
$2
$6
10Venice AI
$2.27
$6.8
11Neon
$2.5
$7.5

比较该模型在不同 API 供应商之间的定价。

外部链接