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Grok 4.7 (xhigh)

SpaceXAIGrokProprietary

Descripción

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.

Fecha de lanzamiento
2026-09-21
Parámetros
—
Longitud del contexto
500K
Modalidades
image, pdf, text

Radar de capacidades

46
general
57
coding
100
reasoning
52
science
40
agents
80
multimodal

Rankings

Dominio#PosiciónPuntuaciónFuente
Ranking de codificación82
86.0
AA
Ranking general25
79.0
AA
Ciencia80
77.0
AA

Puntuaciones de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

AA-Briefcase v1.11657.00 / 3000Aut.

Code

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

Engineering

EEBench66.0%Aut.
CADGenBench44.4%Aut.

General

GDPval (Elo)1695.00 / 3000Aut.

Healthcare

HealthBench Professional56.7%Aut.

Knowledge

Harvey LAB (Vals)19.6%Aut.

Legal

Harvey's Legal Agent Benchmark19.6%Aut.

Reasoning

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

Safety

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

Science

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

Índices de evaluación AA

(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

Puntuaciones por categoría LLM Stats

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

Precios

Precio de entrada$2 / 1M tokens
Precio de salida$6 / 1M tokens
Precio mixto (3:1)$3 / 1M tokens
Precio de lectura caché$0.5 / 1M tokens

Velocidad

Tokens/seg72.3
Retraso del primer token19.84s
Tiempo hasta la respuesta19.84s

Ranking de Precios por Proveedor

Ranking de Precios por Proveedor

4 proveedores

Más barato: xAIMás caro: Venice AI
ProveedorEntradaSalida
1xAIMás barato
$0
$0.00001
2SpaceXAIPRINCIPAL
$2
$6
3DevPass (LLM Gateway)
$2
$6
4Venice AI
$2.27
$6.8

Comparar precios entre diferentes proveedores de API para este modelo.

Fuentes externas