Claude Sonnet 5.5 vs. Claude Opus 5.5：发布比较

Claude Sonnet 5.5 与 Claude Opus 5.5 发布比较：分别包含 5 个和 5 个模型，各自具有不同的智能、性能与价格特征。下方对全部 10 个模型的关键指标进行了比较。

智能方面，Claude Opus 5.5 得分最高：Claude Opus 5.5 (Max, Default Fallback)（58），Claude Sonnet 5.5 为 Claude Sonnet 5.5 (Max, Default Fallback)（56）。
输出速度方面，Claude Sonnet 5.5 最快：Claude Sonnet 5.5 (Max, Default Fallback)（136 token/秒），Claude Opus 5.5 为 Claude Opus 5.5 (Max, Default Fallback)（98 token/秒）。
单任务成本方面，Claude Sonnet 5.5 最低：Claude Sonnet 5.5 (Low, Default Fallback)（$0.35），Claude Opus 5.5 为 Claude Opus 5.5 (Low, Default Fallback)（$0.55）。

比较的发布


	Claude Opus 5.5 (max with fallback)	Claude Sonnet 5.5 (max with fallback)	Claude Opus 5.5 (xhigh with fallback)	Claude Opus 5.5 (high with fallback)	Claude Sonnet 5.5 (xhigh with fallback)	Claude Opus 5.5 (medium with fallback)	Claude Sonnet 5.5 (high with fallback)	Claude Opus 5.5 (low with fallback)	Claude Sonnet 5.5 (medium with fallback)	Claude Sonnet 5.5 (low with fallback)
Intelligence Index	58	56	56	54	52	51	47	42	41	36
财务与会计	61	57	58	56	52	54	47	46	41	38
战略与运营	64	60	62	59	56	57	52	48	45	41
法律	63	56	61	59	52	57	49	52	44	41
医疗与健康	61	58	--	--	--	--	--	--	--	--
工程	60	58	59	56	54	54	48	45	42	38
经济学	66	61	63	61	56	60	52	53	47	44
AA-Briefcase v1.1	1803	1817	1764	1686	1751	1625	1636	1280	1441	1272
GDPval-AA v2.1	1866	1838	1831	1704	1728	1584	1549	1235	1323	1175
AutomationBench-AA	69.5%	71.8%	65.0%	63.2%	65.5%	61.2%	59.4%	52.9%	54.9%	49.4%
Terminal-Bench 4.0	59.6%	63.6%	59.6%	56.6%	57.1%	52.5%	43.9%	31.3%	29.8%	20.7%
SciCode	66.9%	61.0%	65.0%	60.4%	57.3%	59.3%	53.7%	58.6%	52.9%	49.1%
Humanity's Last Exam	61.4%	55.0%	57.5%	55.6%	50.0%	54.7%	45.8%	48.3%	39.8%	36.2%
GDP.pdf	26.2%	25.8%	26.6%	28.8%	24.6%	25.6%	25.2%	25.6%	20.2%	16.0%
CritPt	31.7%	31.4%	31.7%	30.9%	31.1%	27.7%	24.6%	17.7%	16.9%	11.4%
AA-Omniscience	46	32	43	41	24	40	21	39	20	19
AA-LCR v1.1	84.7%	82.7%	84.7%	82.7%	79.7%	84.3%	78.0%	80.7%	76.3%	76.0%

每任务成本美元	$5.98	$5.46	$3.46	$1.82	$2.01	$1.34	$0.88	$0.55	$0.48	$0.35
输入价格美元/100 万 Token	$4.00	$2.00	$4.00	$4.00	$2.00	$4.00	$2.00	$4.00	$2.00	$2.00
输出价格美元/100 万 Token	$20.00	$10.00	$20.00	$20.00	$10.00	$20.00	$10.00	$20.00	$10.00	$10.00
缓存命中价格美元/100 万 Token	$0.20	$0.10	$0.20	$0.20	$0.10	$0.20	$0.10	$0.20	$0.10	$0.10
缓存写入价格美元/100 万 Token	$5.00	$2.50	$5.00	$5.00	$2.50	$5.00	$2.50	$5.00	$2.50	$2.50

输出速度Token/秒	98	136	85	83	112	81	110	78	110	109
首 Token 延迟秒	551.12	384.37	118.49	40.49	33.51	19.28	10.44	7.91	1.04	0.94
首个回答 Token 时间秒	551.12	384.37	118.49	40.49	33.51	19.28	10.44	7.91	1.04	0.94
端到端响应时间秒	556.23	388.05	124.36	46.49	37.98	25.48	14.99	14.29	5.58	5.51
每任务耗时秒	787.75	892.40	498.24	271.19	426.53	198.57	218.42	81.38	125.77	84.91

上下文窗口	1M	1M	1M	1M	1M	1M	1M	1M	1M	1M
开发商	Anthropic	Anthropic	Anthropic	Anthropic	Anthropic	Anthropic	Anthropic	Anthropic	Anthropic	Anthropic
许可证	专有	专有	专有	专有	专有	专有	专有	专有	专有	专有
输入模态	支持：文本和图像	支持：文本和图像	支持：文本和图像	支持：文本和图像	支持：文本和图像	支持：文本和图像	支持：文本和图像	支持：文本和图像	支持：文本和图像	支持：文本和图像
输出模态	支持：文本	支持：文本	支持：文本	支持：文本	支持：文本	支持：文本	支持：文本	支持：文本	支持：文本	支持：文本
服务商

智能

Artificial Analysis Intelligence Index · Higher is better

速度

Output tokens per second · Higher is better

每任务成本

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

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

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 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

Claude Sonnet 5.5

Claude Opus 5.5

Pareto line

AA-Briefcase v1.1

GDPval-AA v2.1

单任务成本（美元，对数刻度）

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

速度与延迟

输出速度

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 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 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: GDPval-AA v2.1, AA-Briefcase v1.1, AA-Omniscience, 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

Claude Sonnet 5.5 vs. Claude Opus 5.5：发布比较

智能

速度

每任务成本

智能

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index

Intelligence Index 与每项任务的成本

Cost per Intelligence Index Task

Artificial Analysis Intelligence Index

成本

每项 Intelligence Index 任务的成本

Cost per Intelligence Index Task

速度与延迟

输出速度

Output Speed

Model Performance Representation

能力得分

能力指数