Grok 4.7 vs. EXAONE 4.0 32B：发布比较

Name: Artificial Analysis Intelligence Index
Creator: Artificial Analysis
License: https://artificialanalysis.ai/docs/legal/Terms-of-Use.pdf

Grok 4.7 与 EXAONE 4.0 32B 发布比较：分别包含 2 个和 2 个模型，各自具有不同的智能、性能与价格特征。下方对全部 4 个模型的关键指标进行了比较。

智能方面，Grok 4.7 得分最高：Grok 4.7 (xhigh)（46），EXAONE 4.0 32B 为 EXAONE 4.0 32B (Reasoning)（8）。

比较的发布

智能

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index v4.3.2 incorporates 10 evaluations: AA-Briefcase v1.1, GDPval-AA v2.1, AutomationBench-AA, Terminal-Bench 4.0, SciCode, Humanity's Last Exam, GDP.pdf, CritPt, AA-Omniscience, AA-LCR v1.1

Estimate (independent evaluation forthcoming)

Artificial Analysis Intelligence Index v4.3.2 includes: AA-Briefcase v1.1, GDPval-AA v2.1, AutomationBench-AA, Terminal-Bench 4.0, SciCode, Humanity's Last Exam, GDP.pdf, CritPt, AA-Omniscience, AA-LCR v1.1. See Intelligence Index methodology for further details, including a breakdown of each evaluation and how we run them.

Intelligence Index vs. Cost per Intelligence Index Task

Artificial Analysis Intelligence Index · Weighted average cost (USD) per Artificial Analysis Intelligence Index task

Most attractive quadrant

Pareto line

AA-Briefcase v1.1

GDPval-AA v2.1

Cost per Task (USD, Log Scale)

Weighted average cost per Intelligence Index task. Each evaluation’s cost is calculated from input, cache hit, cache write, reasoning, and answer token prices, divided by task count, and weighted by its Intelligence Index weight.

成本

Cost per Intelligence Index Task

Weighted average cost (USD) per Artificial Analysis Intelligence Index task, segmented by token type. Lower is better

速度与延迟

Output Speed

Output tokens per second · Higher is better

Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).

Figures represent performance of the model's first-party API (e.g. OpenAI for o1) or the median across providers where a first-party API is not available (e.g. Meta's Llama models).

能力得分

能力指数

衡量模型在特定能力与行业中的表现

Finance & Accounting Index

Incorporates 7 evaluations: AA-Omniscience, GDPval-AA v2.1, AA-Briefcase v1.1, Humanity's Last Exam, AutomationBench-AA, AA-LCR v1.1, GDP.pdf · Higher is better

Strategy & Ops Index

Incorporates 6 evaluations: AA-Omniscience, GDPval-AA v2.1, AA-Briefcase v1.1, AutomationBench-AA, AA-LCR v1.1, GDP.pdf · Higher is better

Legal Index

Incorporates 7 evaluations: AA-Omniscience, GDPval-AA v2.1, AA-Briefcase v1.1, Humanity's Last Exam, AA-LCR v1.1, GDP.pdf, AutomationBench-AA · Higher is better

Healthcare & Medical Index

Incorporates 6 evaluations: AA-Omniscience, GDPval-AA v2.1, AA-Briefcase v1.1, MLCR-AA, Humanity's Last Exam, AutomationBench-AA · Higher is better

Engineering Index

Incorporates 6 evaluations: AA-Omniscience, Humanity's Last Exam, CritPt, GDPval-AA v2.1, AA-Briefcase v1.1, Terminal-Bench 4.0 · Higher is better

Economics Index

Incorporates 5 evaluations: AA-Omniscience, Humanity's Last Exam, GDPval-AA v2.1, AA-Briefcase v1.1, AA-LCR v1.1 · Higher is better


																												输入模态	输出模态	权重			服务商基准测试
Grok 4.7 (xhigh)	SpaceXAI	46	52	54	54	-	47	56	-	-	-	-	-	-	81k	59k	240M	-	-	-	-	-	-	500k	2026年9月	-	是	支持：文本和图像	支持：文本	不可用	-	-	查看
Grok 4.7 (high)	SpaceXAI	46	52	54	54	-	47	55	-	-	-	-	-	-	66k	47k	198M	-	-	-	-	-	-	500k	2026年9月	-	是	支持：文本和图像	支持：文本	不可用	-	-	查看
EXAONE 4.0 32B (Reasoning)	LG AI Research	8	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	32B	131k	2025年7月	-	是	支持：文本	支持：文本	🤗	EXAONE AI Model License Agreement 1.2 - NC	-	查看
EXAONE 4.0 32B (Non-reasoning)	LG AI Research	6	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	32B	131k	2025年7月	-	否	支持：文本	支持：文本	🤗	EXAONE AI Model License Agreement 1.2 - NC	-	查看

Grok 4.7 vs. EXAONE 4.0 32B：发布比较

智能

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index

Intelligence Index vs. Cost per Intelligence Index Task

Cost per Intelligence Index Task

Artificial Analysis Intelligence Index

成本

Cost per Intelligence Index Task

Cost per Intelligence Index Task

速度与延迟

Output Speed

Output Speed

Model Performance Representation

能力得分

能力指数

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