Google

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Proprietary release

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Released 2026年10月

Gemini 4 Carbon：本次发布的智能、性能与价格

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Google

智能Updated

Artificial Analysis Intelligence Index

成本

输入 US$4.00输出 US$20.00缓存折扣 95%

$7.76

Intelligence Index 每项任务的成本

冗长度

200M

Intelligence Index 输出 token 数

Gemini 4 Carbon 发布包含 2 个模型，各自具有不同的智能、性能与价格特征。下方对这 2 个模型的关键指标进行了比较。

智能方面，Gemini 4 Carbon 中得分最高的模型是 Gemini 4 Carbon (High)（59）。
输出速度方面，最快的模型是 Gemini 4 Carbon (High)（96 token/秒）。
延迟方面，Gemini 4 Carbon (High)（137.57 秒）的首个答案 token 等待时间最短。
价格方面，Gemini 4 Carbon (Medium)（$6.59）的单任务成本最低。不同模型的价格差异最高可达 1.2 倍。

推理	是此页面展示该模型的推理版本。可能还存在非推理版本。
输入模态	支持：文本、图像、语音和视频
输出模态	支持：文本
上下文窗口	1M 约 1500 页 A4 纸（12 号 Arial 字体）

指标与同类别模型进行比较：

非推理模型 → 仅与其他非推理模型比较
推理模型 → 同时与推理和非推理模型比较
开放权重模型 → 仅与规模类别相同的其他开放权重模型比较：

微型：≤4B 个参数
小型：4B–40B 个参数
中型：40B–150B 个参数
大型：>150B 个参数

专有模型 → 与价格区间相同的专有模型和开放权重模型比较，采用输入/输出价格 3:1 的混合比例：

每 100 万 token <$0.15
每 100 万 token $0.15–$1
每 100 万 token >$1

Updated

智能

Artificial Analysis Intelligence Index · Higher is better

No publicly available API

速度

Output tokens per second · Higher is better

No publicly available API

每任务成本

Weighted average cost (USD) per Intelligence Index task · Lower is better

No publicly available API

智能Updated

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index v5.0 incorporates 9 evaluations: AA-Briefcase v1.1, AutomationBench-AA, Terminal-Bench 4.0, FrontierCode 2.0, AA-Omniscience v1.1, GDP.pdf, HLE-Diamond, CritPt v2 (Hard Subset), and Terminal-Bench-Science 0.1

No publicly available API

Artificial Analysis Intelligence Index v5.0 includes: AA-Briefcase v1.1, AutomationBench-AA, Terminal-Bench 4.0, FrontierCode 2.0, AA-Omniscience v1.1, GDP.pdf, HLE-Diamond, CritPt v2 (Hard Subset), Terminal-Bench-Science 0.1. See Intelligence Index methodology for further details, including a breakdown of each evaluation and how we run them.

Intelligence Index 与每项任务的成本

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

Most attractive quadrant

Gemini 4 Carbon

Pareto line

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

每项 Intelligence Index 任务的成本

Weighted average cost (USD) per Intelligence Index task · Segmented by token type · Lower is better

No publicly available API

速度与延迟

输出速度

Output tokens per second · Higher is better

No publicly available API

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 or the median across providers where a first-party API is not available.

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 5 evaluations: AA-Briefcase v1.1, AA-Omniscience v1.1, HLE-Diamond, AutomationBench-AA, GDP.pdf · Higher is better

Strategy & Ops Index

Incorporates 4 evaluations: AutomationBench-AA, AA-Briefcase v1.1, AA-Omniscience v1.1, GDP.pdf · Higher is better

Legal Index

Incorporates 5 evaluations: AA-Omniscience v1.1, AA-Briefcase v1.1, HLE-Diamond, GDP.pdf, AutomationBench-AA · Higher is better

Healthcare & Medical Index

Incorporates 5 evaluations: AA-Omniscience v1.1, AA-Briefcase v1.1, MLCR-AA, AutomationBench-AA, HLE-Diamond · Higher is better

Engineering Index

Incorporates 7 evaluations: AA-Omniscience v1.1, CritPt v2 (Hard Subset), Terminal-Bench-Science 0.1, HLE-Diamond, Terminal-Bench 4.0, FrontierCode 2.0, AA-Briefcase v1.1 · Higher is better

Economics Index

Incorporates 4 evaluations: AA-Briefcase v1.1, AA-Omniscience v1.1, HLE-Diamond, GDP.pdf · Higher is better