Model rankings

Rank	Change	Model	Score	95% interval	Votes	Price $/M
1	—	deepseek-r1OpenDeepSeek	1,317	±6	11,355	—
2	—	deepseek-v3OpenDeepSeek	1,276	±4	22,854	—
3	New	gemma-3-27b-itOpenGoogle	1,276	±9	4,794	—
4	▲ 61	qwq-32bOpenAlibaba · 1 more variant	1,254	±11	2,691	—
5	▼ 2	llama-3.1-405b-instruct-bf16OpenMeta	1,253	±4	37,887	—
6	▼ 2	llama-3.1-405b-instruct-fp8OpenMeta	1,253	±3	63,074	—
7	▼ 2	deepseek-v2.5-1210OpenDeepSeek · 1 more variant	1,240	±6	7,251	—
8	▼ 2	llama-3.3-70b-instructOpenMeta	1,235	±4	32,176	—
9	▼ 2	mistral-large-2407OpenMistral · 1 more variant	1,231	±4	48,215	—
10	▼ 2	qwen-max-0919OpenAlibaba	1,231	±5	17,435	—
11	▼ 2	athene-v2-chatOpenNexusFlow	1,230	±4	26,106	—
12	▼ 2	athene-70b-0725OpenNexusFlow	1,223	±5	20,596	—
13	▼ 2	qwen2.5-72b-instructOpenAlibaba	1,222	±3	41,550	—
14	▼ 2	llama-3.1-nemotron-70b-instructOpenNVIDIA	1,216	±6	7,581	—
15	▼ 2	llama-3.1-70b-instructOpenMeta	1,214	±3	58,675	—
16	▼ 2	llama-3.1-tulu-3-70bOpenAi2	1,208	±9	3,011	—
17	▼ 2	gemma-2-27b-itOpenGoogle	1,207	±3	79,534	—
18	▼ 2	jamba-1.5-largeOpenAI21 Labs	1,205	±6	9,129	—
19	▼ 2	llama-3.1-nemotron-51b-instructOpenNVIDIA	1,204	±8	3,887	—
20	▼ 2	gemma-2-9b-it-simpoOpenPrinceton	1,200	±5	10,554	—
21	▼ 2	command-r-plus-08-2024OpenCohere	1,197	±5	10,542	—
22	▼ 2	nemotron-4-340b-instructOpenNVIDIA	1,196	±4	20,609	—
23	▼ 2	llama-3-70b-instructOpenMeta	1,195	±2	163,686	—
24	▼ 2	qwen2.5-coder-32b-instructOpenAlibaba	1,190	±7	5,731	—
25	▼ 2	mistral-small-24b-instruct-2501OpenMistral	1,187	±5	11,497	—
26	▼ 2	c4ai-aya-expanse-32bOpenCohere	1,185	±5	28,777	—
27	▼ 2	command-r-plusOpenCohere	1,183	±3	80,883	—
28	▼ 2	deepseek-coder-v2OpenDeepSeek	1,182	±5	15,757	—
29	▼ 2	qwen2-72b-instructOpenAlibaba	1,181	±3	38,883	—
30	▼ 2	gemma-2-9b-itOpenGoogle	1,180	±3	57,214	—
31	▼ 2	command-r-08-2024OpenCohere	1,176	±6	10,851	—
32	▼ 2	phi-4OpenMicrosoft	1,175	±4	19,667	—
33	▼ 2	jamba-1.5-miniOpenAI21 Labs	1,160	±6	9,274	—
34	▼ 2	ministral-8b-2410OpenMistral	1,160	±8	5,115	—
35	▼ 2	qwen1.5-110b-chatOpenAlibaba	1,155	±4	27,438	—
36	▼ 2	c4ai-aya-expanse-8bOpenCohere	1,151	±5	10,400	—
37	▼ 2	mixtral-8x22b-instruct-v0.1OpenMistral	1,149	±2	53,781	—
38	▼ 2	qwen1.5-72b-chatOpenAlibaba	1,148	±3	40,664	—
39	▼ 2	command-rOpenCohere	1,148	±3	56,399	—
40	▼ 2	llama-3.1-tulu-3-8bOpenAi2	1,147	±10	3,075	—
41	▼ 2	llama-3-8b-instructOpenMeta	1,142	±3	109,104	—
42	▼ 2	granite-3.1-8b-instructOpenIBM	1,135	±10	3,299	—
43	▼ 2	yi-1.5-34b-chatOpen01 AI	1,133	±4	25,136	—
44	▼ 2	llama-3.1-8b-instructOpenMeta	1,133	±4	52,620	—
45	▼ 2	zephyr-orpo-141b-A35b-v0.1OpenHuggingFace	1,130	±7	4,863	—
46	▼ 2	qwen1.5-32b-chatOpenAlibaba	1,126	±4	22,772	—
47	▼ 2	phi-3-medium-4k-instructOpenMicrosoft	1,118	±3	26,107	—
48	▼ 2	gemma-2-2b-itOpenGoogle	1,118	±4	48,926	—
49	▼ 2	internlm2_5-20b-chatOpenInternLM	1,116	±5	10,595	—
50	▼ 2	mixtral-8x7b-instruct-v0.1OpenMistral	1,114	±0	76,134	—
51	▼ 2	dbrx-instruct-previewOpenDatabricks	1,113	±3	33,745	—
52	▼ 2	granite-3.0-8b-instructOpenIBM	1,109	±8	7,000	—
53	▼ 2	qwen1.5-14b-chatOpenAlibaba	1,107	±4	18,679	—
54	▼ 2	wizardlm-70bOpenMicrosoft	1,105	±7	8,383	—
55	▼ 2	granite-3.1-2b-instructOpenIBM	1,104	±12	3,380	—
56	▼ 2	snowflake-arctic-instructOpenSnowflake	1,102	±3	34,186	—
57	▼ 2	yi-34b-chatOpen01 AI	1,101	±5	15,933	—
58	▼ 2	openchat-3.5-0106OpenOpenChat · 1 more variant	1,100	±5	12,991	—
59	▼ 2	gemma-1.1-7b-itOpenGoogle	1,099	±5	25,069	—
60	▼ 2	phi-3-small-8k-instructOpenMicrosoft	1,098	±5	18,484	—
61	▼ 2	llama-3.2-3b-instructOpenMeta	1,093	±7	8,396	—
62	▼ 2	tulu-2-dpo-70bOpenAllenAI/UW	1,092	±8	6,660	—
63	▼ 2	starling-lm-7b-betaOpenNexusflow	1,092	±4	16,675	—
64	▼ 2	vicuna-33bOpenLMSYS	1,091	±4	22,943	—
65	▼ 2	deepseek-llm-67b-chatOpenDeepSeek	1,091	±8	4,988	—
66	▼ 2	openhermes-2.5-mistral-7bOpenNousResearch	1,089	±8	5,088	—
67	▼ 1	starling-lm-7b-alphaOpenUC Berkeley	1,083	±5	10,417	—
68	▼ 1	granite-3.0-2b-instructOpenIBM	1,082	±7	7,188	—
69	▼ 1	llama-2-70b-chatOpenMeta	1,081	±3	39,607	—
70	▼ 1	llama2-70b-steerlm-chatOpenNVIDIA	1,074	±9	3,637	—
71	▼ 1	nous-hermes-2-mixtral-8x7b-dpoOpenNousResearch	1,072	±10	3,836	—
72	▼ 1	dolphin-2.2.1-mistral-7bOpenCognitive Computations	1,069	±11	1,713	—
73	▼ 1	phi-3-mini-4k-instruct-june-2024OpenMicrosoft	1,067	±5	12,809	—
74	▼ 1	mistral-7b-instruct-v0.2OpenMistral	1,067	±4	20,063	—
75	▼ 1	solar-10.7b-instruct-v1.0OpenUpstage AI	1,066	±7	4,290	—
76	▼ 1	qwen1.5-7b-chatOpenAlibaba	1,065	±7	4,872	—
77	▼ 1	wizardlm-13bOpenMicrosoft	1,063	±8	7,177	—
78	▼ 1	mpt-30b-chatOpenMosaicML	1,060	±10	2,648	—
79	▼ 1	falcon-180b-chatOpenTII	1,059	±15	1,328	—
80	▼ 1	vicuna-13bOpenLMSYS	1,058	±5	19,770	—
81	▼ 1	qwen-14b-chatOpenAlibaba	1,056	±7	5,067	—
82	▼ 1	phi-3-mini-4k-instructOpenMicrosoft	1,056	±4	21,099	—
83	▼ 1	llama-2-13b-chatOpenMeta	1,054	±4	19,717	—
84	▼ 1	smollm2-1.7b-instructOpenHuggingFace	1,050	±13	2,372	—
85	▼ 1	zephyr-7b-betaOpenHuggingFace	1,049	±6	11,319	—
86	▼ 1	phi-3-mini-128k-instructOpenMicrosoft	1,049	±5	21,639	—
87	▼ 1	gemma-7b-itOpenGoogle	1,048	±6	9,182	—
88	▼ 1	codellama-34b-instructOpenMeta	1,047	±5	7,509	—
89	▼ 1	zephyr-7b-alphaOpenHuggingFace	1,046	±13	1,812	—
90	▼ 1	llama-3.2-1b-instructOpenMeta	1,044	±7	8,523	—
91	▼ 1	gemma-1.1-2b-itOpenGoogle	1,040	±6	11,345	—
92	▼ 1	guanaco-33bOpenUW	1,040	±10	2,997	—
93	▼ 1	codellama-70b-instructOpenMeta	1,038	±17	1,193	—
94	▼ 1	stripedhyena-nous-7bOpenTogether AI	1,034	±8	5,277	—
95	▼ 1	mistral-7b-instructOpenMistral	1,026	±6	9,145	—
96	▼ 1	llama-2-7b-chatOpenMeta	1,025	±5	14,532	—
97	▼ 1	vicuna-7bOpenLMSYS	1,021	±7	7,013	—
98	▼ 1	qwen1.5-4b-chatOpenAlibaba	1,015	±6	7,822	—
99	▼ 1	gemma-2b-itOpenGoogle	1,008	±9	4,921	—
100	▼ 1	olmo-7b-instructOpenAi2	994	±7	6,505	—
101	▼ 1	koala-13bOpenUC Berkeley	980	±8	7,023	—
102	▼ 1	chatglm3-6bOpenTsinghua	974	±10	4,764	—
103	▼ 1	gpt4all-13b-snoozyOpenNomic AI	973	±13	1,789	—
104	▼ 1	mpt-7b-chatOpenMosaicML	967	±9	3,999	—
105	▼ 1	alpaca-13bOpenStanford	967	±8	5,864	—
106	▼ 1	RWKV-4-Raven-14BOpenRWKV	949	±9	4,919	—
107	▼ 1	chatglm2-6bOpenTsinghua	942	±11	2,709	—
108	▼ 1	oasst-pythia-12bOpenOpenAssistant	931	±9	6,368	—
109	▼ 1	fastchat-t5-3bOpenLMSYS	896	±8	4,287	—
110	▼ 1	chatglm-6bOpenTsinghua	888	±9	4,985	—
111	▼ 1	dolly-v2-12bOpenDatabricks	882	±9	3,483	—
112	▼ 1	llama-13bOpenMeta	868	±13	2,445	—
113	▼ 1	stablelm-tuned-alpha-7bOpenStability AI	859	±11	3,338	—

63 more models

Intelligence over time

Each maker's best model at the time on the Artificial Analysis Intelligence Index, by the month it was released.

Gained most · Anthropic +57.2Highest now · Anthropic 64.6Gap between highest and lowest 18.1 ptsTime range Nov 2025 – Nov 2026

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