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Grok 4

SpaceXAIGrokProprietary

描述

Grok 4, announced by xAI in summer 2025, represents a major leap in AI capabilities, described as 'the smartest AI in the world.' Built on version 6 of xAI's foundation model, it uses 100x more training compute than Grok 2 and 10x more reinforcement learning compute than Grok 3. The model achieves PhD-level performance across all academic disciplines simultaneously, scoring perfect on standardized tests like the SAT and near-perfect on graduate exams like the GRE. Unlike Grok 3, tool usage is built into the training process rather than relying on generalization. Trained using 200,000 GPUs, Grok 4 excels at complex reasoning, mathematical problem-solving, and coding tasks, though it has acknowledged weaknesses in multimodal capabilities that are being addressed in the next version.

发布日期
2025-07-10
参数规模
上下文长度
支持模态
image, text

能力雷达图

49
general
74
coding
94
reasoning
61
science
88
agents
80
multimodal

排行榜排名

领域#排名分数来源
代码能力榜81
75.0
AA
通用能力榜122
67.0
AA
科学能力87
72.0
AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Biology

GPQANYU + Cohere + Anthropic (2023)87.5%自报

Code

LiveCodeBench79.0%自报

Math

AIME 202591.7%自报
HMMT2590.0%自报
Humanity's Last Exam40.0%自报
USAMO2537.5%自报

Reasoning

ARC-AGI v215.9%自报

AA 评测指数

(Artificial Analysis)
Math Index(Artificial Analysis)
92.7
Intelligence Index(Artificial Analysis)
34.1
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
1.0
Aime(MAA (Mathematical Association of America))
0.9
Aime 25(MAA (Mathematical Association of America))
0.9
Gpqa(NYU + Cohere + Anthropic (2023))
0.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.9
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.8
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.7
Lcr(Artificial Analysis)
0.7
Ifbench(Google Research (2023))
0.5
Scicode(UIUC + Argonne National Lab (2024))
0.5
Terminalbench Hard(Stanford × Laude Institute (2026))
0.4
Hle(Center for AI Safety + Scale AI (2025))
0.3

LLM Stats 分类评分

(LLM Stats (zeroeval))
Physics
90
Biology
90
Chemistry
90
Code
80
Math
60
Reasoning
60
General
60
Vision
30
Spatial Reasoning
20

定价

输入价格$3 / 1M tokens
输出价格$15 / 1M tokens
混合价格(3:1)$6 / 1M tokens

速度

Tokens/秒0.0
首Token延迟0.00s
首回答延迟0.00s

供应商价格排行

供应商价格排行

3 个供应商

最便宜: SpaceXAI最贵: LLM Gateway
供应商输入输出
1SpaceXAI主要
$3
$15
2Helicone
$3
$15
3LLM Gateway
$3
$15

比较该模型在不同 API 供应商之间的定价。

外部链接