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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.

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

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

缺少專門科學評測時,Science 由 LLM Stats 科學得分或推理能力估算。

排行榜排名

領域#排名分數來源
智慧體能力模型榜83
45.0
LS
程式碼能力榜25
85.0
LB
通用能力榜18
54.0
AA
數學推理11
96.0
LB
推理能力36
83.0
LB
科學能力18
54.0
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)
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 分類評分

(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71.6
首Token延遲63.46s
首回答延遲63.46s

供應商價格排行

供應商價格排行

11 個供應商

最便宜: SpaceXAI最貴: Neon
供應商輸入輸出
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

比較該模型在不同 API 供應商之間的定價。

外部連結