模型排行

排名	變化	模型	得分	置信區間	投票	價格 $/M
1	—	o3-2025-04-16閉源OpenAI	1,380	±13	2,211	—
2	—	chatgpt-4o-latest-20250326閉源OpenAI	1,361	±5	9,229	—
3	—	gpt-4.5-preview-2025-02-27閉源OpenAI	1,357	±4	15,285	—
4	—	grok-3-preview-02-24閉源xAI	1,327	±5	14,840	—
5	—	gpt-4.1-2025-04-14閉源OpenAI	1,325	±10	2,927	—
6	—	deepseek-v3-0324開源DeepSeek	1,323	±9	6,792	—
7	—	o4-mini-2025-04-16閉源OpenAI	1,323	±11	2,070	—
8	—	o1-2024-12-17閉源OpenAI	1,319	±3	29,044	—
9	—	deepseek-r1開源DeepSeek	1,316	±4	16,857	—
10	—	claude-3-7-sonnet-20250219-thinking-32k閉源Anthropic	1,312	±5	9,952	—
11	—	o1-preview閉源OpenAI	1,303	±3	33,172	—
12	—	claude-3-7-sonnet-20250219閉源Anthropic	1,298	±5	15,281	—
13	—	gpt-4.1-mini-2025-04-14閉源OpenAI	1,291	±9	2,700	—
14	—	o3-mini-high閉源OpenAI	1,287	±4	18,934	—
15	—	qwen2.5-max閉源Alibaba	1,286	±4	22,105	—
16	—	claude-3-5-sonnet-20241022閉源Anthropic	1,286	±2	65,174	—
17	—	gemini-2.0-flash-001閉源Google	1,284	±3	23,060	—
18	—	gemma-3-27b-it開源Google	1,282	±6	10,735	—
19	—	deepseek-v3開源DeepSeek	1,277	±3	22,828	—
20	—	o3-mini閉源OpenAI	1,269	±3	24,941	—
21	—	gemini-2.0-flash-lite-preview-02-05閉源Google	1,269	±3	23,099	—
22	—	gemini-1.5-pro-002閉源Google	1,268	±2	58,652	—
23	—	hunyuan-turbos-20250226閉源Tencent	1,265	±11	2,452	—
24	—	command-a-03-2025開源Cohere	1,264	±5	8,521	—
25	—	gpt-4o-2024-05-13閉源OpenAI	1,264	±2	117,751	—
26	—	qwen-plus-0125閉源Alibaba	1,263	±5	6,056	—
27	—	claude-3-5-sonnet-20240620閉源Anthropic	1,260	±2	86,163	—
28	—	hunyuan-turbo-0110閉源Tencent	1,259	±12	2,512	—
29	—	qwq-32b開源Alibaba	1,257	±6	8,563	—
30	—	glm-4-plus-0111閉源Zhipu	1,256	±7	6,024	—
31	—	o1-mini閉源OpenAI	1,256	±3	54,961	—
32	—	gemini-advanced-0514閉源Google	1,254	±2	52,140	—
33	—	llama-3.1-405b-instruct-bf16開源Meta	1,254	±2	43,785	—
34	—	llama-3.1-405b-instruct-fp8開源Meta	1,253	±2	63,056	—
35	—	step-2-16k-exp-202412閉源StepFun	1,251	±7	5,125	—
36	—	gpt-4o-2024-08-06閉源OpenAI	1,250	±2	47,974	—
37	—	llama-4-maverick-17b-128e-instruct開源Meta	1,250	±7	5,772	—
38	—	grok-2-2024-08-13閉源xAI	1,249	±2	67,096	—
39	—	llama-3.3-nemotron-49b-super-v1開源NVIDIA	1,247	±11	2,368	—
40	—	yi-lightning閉源01 AI	1,247	±3	28,976	—
41	—	gpt-4-turbo-2024-04-09閉源OpenAI	1,242	±2	102,153	—
42	—	hunyuan-large-2025-02-10閉源Tencent	1,242	±8	3,855	—
43	—	gemini-1.5-pro-001閉源Google	1,241	±2	82,450	—
44	—	gpt-4.1-nano-2025-04-14閉源OpenAI	1,240	±10	2,787	—
45	—	deepseek-v2.5-1210開源DeepSeek	1,240	±6	7,239	—
46	—	claude-3-opus-20240229閉源Anthropic	1,239	±1	202,698	—
47	—	glm-4-plus閉源Zhipu AI	1,235	±3	27,786	—
48	—	gpt-4o-mini-2024-07-18閉源OpenAI	1,235	±2	71,378	—
49	—	llama-3.3-70b-instruct開源Meta	1,235	±2	38,099	—
50	—	gpt-4-1106-preview閉源OpenAI	1,235	±2	103,739	—
51	—	claude-3-5-haiku-20241022閉源Anthropic	1,233	±3	34,282	—
52	—	mistral-large-2407開源Mistral	1,232	±2	48,214	—
53	—	qwen-max-0919開源Alibaba	1,231	±4	17,438	—
54	—	qwen2.5-plus-1127閉源Alibaba	1,231	±5	10,719	—
55	—	athene-v2-chat開源NexusFlow	1,231	±3	26,086	—
56	—	gpt-4-0125-preview閉源OpenAI	1,231	±2	97,064	—
57	—	hunyuan-standard-2025-02-10閉源Tencent	1,230	±7	4,018	—
58	—	gemini-1.5-flash-002閉源Google	1,229	±3	37,024	—
59	—	deepseek-v2.5開源DeepSeek	1,226	±3	26,346	—
60	—	grok-2-mini-2024-08-13閉源xAI	1,225	±2	55,446	—
61	—	athene-70b-0725開源NexusFlow	1,223	±4	20,580	—
62	—	qwen2.5-72b-instruct開源Alibaba	1,222	±2	41,532	—
63	—	mistral-large-2411開源Mistral	1,221	±3	29,493	—
64	—	llama-3.1-nemotron-70b-instruct開源NVIDIA	1,217	±6	7,576	—
65	—	llama-3.1-70b-instruct開源Meta	1,214	±2	58,650	—
66	—	llama-3.1-tulu-3-70b開源Ai2	1,209	±9	3,011	—
67	—	amazon-nova-pro-v1.0閉源Amazon	1,208	±4	24,768	—
68	—	reka-core-20240904閉源Reka AI	1,207	±5	7,941	—
69	—	gemma-2-27b-it開源Google	1,207	±2	79,532	—
70	—	jamba-1.5-large開源AI21 Labs	1,206	±5	9,122	—
71	—	gemini-1.5-flash-001閉源Google	1,204	±2	65,656	—
72	—	llama-3.1-nemotron-51b-instruct開源NVIDIA	1,204	±8	3,889	—
73	—	gemma-2-9b-it-simpo開源Princeton	1,200	±5	10,548	—
74	—	gpt-4-0314閉源OpenAI	1,200	±3	55,970	—
75	—	claude-3-sonnet-20240229閉源Anthropic	1,197	±2	113,053	—
76	—	command-r-plus-08-2024開源Cohere	1,197	±6	10,534	—
77	—	nemotron-4-340b-instruct開源NVIDIA	1,196	±4	20,614	—
78	—	llama-3-70b-instruct開源Meta	1,195	±2	163,662	—
79	—	reka-flash-20240904閉源Reka AI	1,193	±6	8,136	—
80	—	mistral-small-24b-instruct-2501開源Mistral	1,192	±4	15,089	—
81	—	qwen2.5-coder-32b-instruct開源Alibaba	1,190	±6	5,731	—
82	—	glm-4-0520閉源Zhipu AI	1,188	±5	10,222	—
83	—	gpt-4-0613閉源OpenAI	1,185	±2	91,638	—
84	—	c4ai-aya-expanse-32b開源Cohere	1,185	±3	28,752	—
85	—	command-r-plus開源Cohere	1,183	±2	80,848	—
86	—	deepseek-coder-v2開源DeepSeek	1,182	±3	15,757	—
87	—	amazon-nova-lite-v1.0閉源Amazon	1,182	±4	20,653	—
88	—	qwen2-72b-instruct開源Alibaba	1,181	±3	38,886	—
89	—	gemma-2-9b-it開源Google	1,180	±2	57,206	—
90	—	gemini-1.5-flash-8b-001閉源Google	1,179	±3	37,691	—
91	—	claude-3-haiku-20240307閉源Anthropic	1,178	±2	122,315	—
92	—	phi-4開源Microsoft	1,177	±3	25,228	—
93	—	command-r-08-2024開源Cohere	1,176	±5	10,843	—
94	—	amazon-nova-micro-v1.0閉源Amazon	1,164	±4	20,658	—
95	—	jamba-1.5-mini開源AI21 Labs	1,160	±5	9,273	—
96	—	ministral-8b-2410開源Mistral	1,160	±6	5,108	—
97	—	mistral-large-2402閉源Mistral	1,158	±2	64,917	—
98	—	qwen1.5-110b-chat開源Alibaba	1,155	±3	27,438	—
99	—	hunyuan-standard-256k閉源Tencent	1,153	±9	2,902	—
100	—	reka-flash-21b-20240226-online閉源Reka AI	1,152	±3	16,032	—
101	—	c4ai-aya-expanse-8b開源Cohere	1,151	±5	10,397	—
102	—	mixtral-8x22b-instruct-v0.1開源Mistral	1,149	±3	53,758	—
103	—	qwen1.5-72b-chat開源Alibaba	1,148	±3	40,670	—
104	—	command-r開源Cohere	1,148	±2	56,381	—
105	—	gemini-pro-dev-api閉源Google	1,147	±5	18,801	—
106	—	llama-3.1-tulu-3-8b開源Ai2	1,147	±9	3,076	—
107	—	llama-3-8b-instruct開源Meta	1,143	±2	109,091	—
108	—	reka-flash-21b-20240226閉源Reka AI	1,142	±3	25,807	—
109	—	mistral-medium閉源Mistral	1,141	±3	35,564	—
110	—	gpt-3.5-turbo-0125閉源OpenAI	1,137	±2	68,869	—
111	—	granite-3.1-8b-instruct開源IBM	1,135	±8	3,293	—
112	—	yi-1.5-34b-chat開源01 AI	1,134	±4	25,131	—
113	—	llama-3.1-8b-instruct開源Meta	1,133	±3	52,586	—
114	—	gemini-pro閉源Google	1,132	±8	6,556	—
115	—	zephyr-orpo-141b-A35b-v0.1開源HuggingFace	1,130	±6	4,860	—
116	—	qwen1.5-32b-chat開源Alibaba	1,126	±4	22,757	—
117	—	phi-3-medium-4k-instruct開源Microsoft	1,118	±4	26,109	—
118	—	gemma-2-2b-it開源Google	1,118	±3	48,902	—
119	—	internlm2_5-20b-chat開源InternLM	1,116	±5	10,596	—
120	—	mixtral-8x7b-instruct-v0.1開源Mistral	1,114	±2	76,140	—
121	—	dbrx-instruct-preview開源Databricks	1,113	±3	33,738	—
122	—	gpt-3.5-turbo-1106閉源OpenAI	1,110	±4	17,034	—
123	—	granite-3.0-8b-instruct開源IBM	1,110	±8	7,001	—
124	—	qwen1.5-14b-chat開源Alibaba	1,107	±4	18,683	—
125	—	wizardlm-70b開源Microsoft	1,105	±6	8,385	—
126	—	granite-3.1-2b-instruct開源IBM	1,104	±8	3,383	—
127	—	snowflake-arctic-instruct開源Snowflake	1,102	±3	34,176	—
128	—	yi-34b-chat開源01 AI	1,101	±5	15,918	—
129	—	openchat-3.5-0106開源OpenChat	1,101	±4	12,989	—
130	—	gemma-1.1-7b-it開源Google	1,099	±4	25,068	—
131	—	phi-3-small-8k-instruct開源Microsoft	1,098	±4	18,472	—
132	—	openchat-3.5開源OpenChat	1,094	±7	8,106	—
133	—	llama-3.2-3b-instruct開源Meta	1,094	±7	8,400	—
134	—	tulu-2-dpo-70b開源AllenAI/UW	1,092	±7	6,658	—
135	—	starling-lm-7b-beta開源Nexusflow	1,092	±4	16,674	—
136	—	vicuna-33b開源LMSYS	1,091	±4	22,946	—
137	—	deepseek-llm-67b-chat開源DeepSeek	1,091	±9	4,988	—
138	—	openhermes-2.5-mistral-7b開源NousResearch	1,089	±6	5,086	—
139	—	qwq-32b-preview開源Alibaba	1,088	±10	3,412	—
140	—	starling-lm-7b-alpha開源UC Berkeley	1,083	±5	10,417	—
141	—	llama-2-70b-chat開源Meta	1,082	±3	39,605	—
142	—	granite-3.0-2b-instruct開源IBM	1,082	±8	7,186	—
143	—	llama2-70b-steerlm-chat開源NVIDIA	1,074	±11	3,636	—
144	—	nous-hermes-2-mixtral-8x7b-dpo開源NousResearch	1,072	±8	3,838	—
145	—	dolphin-2.2.1-mistral-7b開源Cognitive Computations	1,069	±13	1,713	—
146	—	phi-3-mini-4k-instruct-june-2024開源Microsoft	1,067	±5	12,804	—
147	—	mistral-7b-instruct-v0.2開源Mistral	1,067	±4	20,066	—
148	—	solar-10.7b-instruct-v1.0開源Upstage AI	1,066	±9	4,289	—
149	—	qwen1.5-7b-chat開源Alibaba	1,065	±7	4,871	—
150	—	wizardlm-13b開源Microsoft	1,064	±6	7,176	—
151	—	mpt-30b-chat開源MosaicML	1,060	±9	2,644	—
152	—	falcon-180b-chat開源TII	1,059	±15	1,328	—
153	—	vicuna-13b開源LMSYS	1,058	±5	19,771	—
154	—	qwen-14b-chat開源Alibaba	1,056	±8	5,067	—
155	—	phi-3-mini-4k-instruct開源Microsoft	1,056	±4	21,094	—
156	—	llama-2-13b-chat開源Meta	1,054	±3	19,717	—
157	—	smollm2-1.7b-instruct開源HuggingFace	1,050	±12	2,377	—
158	—	zephyr-7b-beta開源HuggingFace	1,049	±6	11,320	—
159	—	phi-3-mini-128k-instruct開源Microsoft	1,049	±4	21,633	—
160	—	gemma-7b-it開源Google	1,048	±6	9,176	—
161	—	codellama-34b-instruct開源Meta	1,047	±7	7,509	—
162	—	zephyr-7b-alpha開源HuggingFace	1,045	±14	1,811	—
163	—	llama-3.2-1b-instruct開源Meta	1,044	±6	8,517	—
164	—	palm-2閉源Google	1,042	±7	8,712	—
165	—	gemma-1.1-2b-it開源Google	1,041	±6	11,348	—
166	—	guanaco-33b開源UW	1,040	±11	2,997	—
167	—	codellama-70b-instruct開源Meta	1,039	±18	1,190	—
168	—	stripedhyena-nous-7b開源Together AI	1,034	±7	5,278	—
169	—	mistral-7b-instruct開源Mistral	1,026	±5	9,143	—
170	—	llama-2-7b-chat開源Meta	1,025	±4	14,532	—
171	—	vicuna-7b開源LMSYS	1,021	±7	7,014	—
172	—	qwen1.5-4b-chat開源Alibaba	1,014	±7	7,821	—
173	—	gemma-2b-it開源Google	1,008	±8	4,921	—
174	—	olmo-7b-instruct開源Ai2	994	±9	6,502	—
175	—	koala-13b開源UC Berkeley	980	±7	7,021	—
176	—	chatglm3-6b開源Tsinghua	974	±9	4,761	—
177	—	gpt4all-13b-snoozy開源Nomic AI	974	±13	1,788	—
178	—	mpt-7b-chat開源MosaicML	967	±9	3,996	—
179	—	alpaca-13b開源Stanford	967	±8	5,865	—
180	—	RWKV-4-Raven-14B開源RWKV	949	±8	4,920	—
181	—	chatglm2-6b開源Tsinghua	942	±10	2,712	—
182	—	oasst-pythia-12b開源OpenAssistant	931	±7	6,367	—
183	—	fastchat-t5-3b開源LMSYS	896	±10	4,288	—
184	—	chatglm-6b開源Tsinghua	889	±10	4,987	—
185	—	dolly-v2-12b開源Databricks	882	±11	3,481	—
186	—	llama-13b開源Meta	868	±12	2,446	—
187	—	stablelm-tuned-alpha-7b開源Stability AI	859	±10	3,339	—

其餘 137 個模型

智力進步

每家廠商當時最強的模型在 Artificial Analysis 智力指數上的分數，按模型釋出的月份畫。

漲得最多 · Anthropic +57.2目前最高 · Anthropic 64.6最高與最低相差 18.1 分時間範圍 2025年11月 – 2026年11月

64.6Anthropic60.0Google56.9OpenAI50.1Meta46.5Kimi