Model rankings

Rank	Change	Model	Score	95% interval	Votes	Price $/M
1	—	deepseek-v3-0324OpenDeepSeek · 1 more variant	1,323	±6	8,753	—
2	—	deepseek-r1OpenDeepSeek	1,316	±4	18,493	—
3	New	qwen3-235b-a22bOpenAlibaba	1,286	±9	3,611	—
4	▼ 1	gemma-3-27b-itOpenGoogle	1,281	±5	12,343	—
5	▼ 1	command-a-03-2025OpenCohere	1,265	±5	10,513	—
6	New	gemma-3-12b-itOpenGoogle	1,263	±9	3,016	—
7	▼ 2	qwq-32bOpenAlibaba · 1 more variant	1,256	±5	9,946	—
8	▼ 2	llama-3.1-405b-instruct-bf16OpenMeta	1,254	±3	43,799	—
9	▼ 2	llama-3.1-405b-instruct-fp8OpenMeta	1,253	±2	63,030	—
10	▼ 2	llama-4-maverick-17b-128e-instructOpenMeta	1,249	±6	7,798	—
11	▼ 2	llama-3.3-nemotron-49b-super-v1OpenNVIDIA	1,247	±10	2,366	—
12	▼ 2	deepseek-v2.5-1210OpenDeepSeek · 1 more variant	1,241	±5	7,242	—
13	▼ 2	llama-3.3-70b-instructOpenMeta	1,235	±3	38,088	—
14	▼ 2	mistral-large-2407OpenMistral · 1 more variant	1,232	±2	48,217	—
15	▼ 2	qwen-max-0919OpenAlibaba	1,232	±4	17,432	—
16	▼ 2	athene-v2-chatOpenNexusFlow	1,231	±3	26,077	—
17	▼ 2	athene-70b-0725OpenNexusFlow	1,223	±4	20,578	—
18	▼ 2	qwen2.5-72b-instructOpenAlibaba	1,223	±2	41,517	—
19	New	gemma-3-4b-itOpenGoogle	1,222	±10	3,326	—
20	▼ 3	llama-3.1-nemotron-70b-instructOpenNVIDIA	1,217	±6	7,579	—
21	▼ 3	llama-3.1-70b-instructOpenMeta	1,214	±2	58,637	—
22	▼ 3	llama-3.1-tulu-3-70bOpenAi2	1,209	±9	3,009	—
23	▼ 3	gemma-2-27b-itOpenGoogle	1,207	±2	79,527	—
24	▼ 3	jamba-1.5-largeOpenAI21 Labs	1,206	±5	9,125	—
25	▼ 3	llama-3.1-nemotron-51b-instructOpenNVIDIA	1,204	±8	3,890	—
26	▼ 3	gemma-2-9b-it-simpoOpenPrinceton	1,200	±4	10,549	—
27	▼ 3	command-r-plus-08-2024OpenCohere	1,197	±5	10,537	—
28	▼ 3	nemotron-4-340b-instructOpenNVIDIA	1,196	±4	20,610	—
29	▼ 3	llama-3-70b-instructOpenMeta	1,195	±2	163,642	—
30	▼ 3	mistral-small-24b-instruct-2501OpenMistral	1,192	±4	15,323	—
31	▼ 3	qwen2.5-coder-32b-instructOpenAlibaba	1,190	±7	5,733	—
32	▼ 3	c4ai-aya-expanse-32bOpenCohere	1,185	±3	28,757	—
33	▼ 3	command-r-plusOpenCohere	1,183	±2	80,856	—
34	▼ 3	deepseek-coder-v2OpenDeepSeek	1,182	±4	15,756	—
35	▼ 2	gemma-2-9b-itOpenGoogle	1,181	±3	57,201	—
36	▼ 4	qwen2-72b-instructOpenAlibaba	1,181	±3	38,870	—
37	▼ 3	phi-4OpenMicrosoft	1,178	±3	25,221	—
38	▼ 3	command-r-08-2024OpenCohere	1,176	±5	10,849	—
39	New	olmo-2-0325-32b-instructOpenAi2	1,176	±10	3,183	—
40	▼ 4	jamba-1.5-miniOpenAI21 Labs	1,160	±5	9,273	—
41	▼ 4	ministral-8b-2410OpenMistral	1,160	±7	5,109	—
42	▼ 4	qwen1.5-110b-chatOpenAlibaba	1,155	±4	27,438	—
43	▼ 4	c4ai-aya-expanse-8bOpenCohere	1,151	±6	10,395	—
44	▼ 4	mixtral-8x22b-instruct-v0.1OpenMistral	1,149	±2	53,761	—
45	▼ 4	qwen1.5-72b-chatOpenAlibaba	1,148	±3	40,665	—
46	▼ 4	command-rOpenCohere	1,148	±3	56,392	—
47	▼ 4	llama-3.1-tulu-3-8bOpenAi2	1,147	±10	3,075	—
48	▼ 4	llama-3-8b-instructOpenMeta	1,143	±2	109,093	—
49	▼ 4	granite-3.1-8b-instructOpenIBM	1,135	±9	3,290	—
50	▼ 4	yi-1.5-34b-chatOpen01 AI	1,134	±3	25,136	—
51	▼ 4	llama-3.1-8b-instructOpenMeta	1,133	±3	52,576	—
52	▼ 4	zephyr-orpo-141b-A35b-v0.1OpenHuggingFace	1,131	±8	4,853	—
53	▼ 4	qwen1.5-32b-chatOpenAlibaba	1,126	±4	22,762	—
54	▼ 4	phi-3-medium-4k-instructOpenMicrosoft	1,118	±4	26,112	—
55	▼ 4	gemma-2-2b-itOpenGoogle	1,118	±3	48,901	—
56	▼ 4	internlm2_5-20b-chatOpenInternLM	1,116	±5	10,596	—
57	▼ 4	mixtral-8x7b-instruct-v0.1OpenMistral	1,114	±2	76,134	—
58	▼ 4	dbrx-instruct-previewOpenDatabricks	1,113	±3	33,743	—
59	▼ 4	granite-3.0-8b-instructOpenIBM	1,110	±6	7,002	—
60	▼ 4	qwen1.5-14b-chatOpenAlibaba	1,107	±4	18,685	—
61	▼ 4	wizardlm-70bOpenMicrosoft	1,105	±7	8,383	—
62	▼ 4	granite-3.1-2b-instructOpenIBM	1,104	±9	3,380	—
63	▼ 4	snowflake-arctic-instructOpenSnowflake	1,102	±4	34,181	—
64	▼ 4	yi-34b-chatOpen01 AI	1,101	±4	15,918	—
65	▼ 4	openchat-3.5-0106OpenOpenChat · 1 more variant	1,100	±5	12,986	—
66	▼ 4	gemma-1.1-7b-itOpenGoogle	1,099	±3	25,063	—
67	▼ 4	phi-3-small-8k-instructOpenMicrosoft	1,098	±4	18,477	—
68	▼ 4	llama-3.2-3b-instructOpenMeta	1,093	±6	8,394	—
69	▼ 3	starling-lm-7b-betaOpenNexusflow	1,092	±5	16,674	—
70	▼ 5	tulu-2-dpo-70bOpenAllenAI/UW	1,092	±7	6,658	—
71	▼ 4	vicuna-33bOpenLMSYS	1,092	±4	22,937	—
72	▼ 4	deepseek-llm-67b-chatOpenDeepSeek	1,091	±8	4,988	—
73	▼ 4	openhermes-2.5-mistral-7bOpenNousResearch	1,089	±8	5,086	—
74	▼ 4	starling-lm-7b-alphaOpenUC Berkeley	1,083	±6	10,414	—
75	▼ 3	granite-3.0-2b-instructOpenIBM	1,082	±7	7,187	—
76	▼ 5	llama-2-70b-chatOpenMeta	1,082	±3	39,602	—
77	▼ 4	llama2-70b-steerlm-chatOpenNVIDIA	1,074	±10	3,636	—
78	▼ 4	nous-hermes-2-mixtral-8x7b-dpoOpenNousResearch	1,072	±9	3,837	—
79	▼ 4	dolphin-2.2.1-mistral-7bOpenCognitive Computations	1,069	±13	1,713	—
80	▼ 4	phi-3-mini-4k-instruct-june-2024OpenMicrosoft	1,068	±5	12,800	—
81	▼ 4	mistral-7b-instruct-v0.2OpenMistral	1,067	±4	20,063	—
82	▼ 4	solar-10.7b-instruct-v1.0OpenUpstage AI	1,066	±10	4,286	—
83	▼ 4	qwen1.5-7b-chatOpenAlibaba	1,065	±8	4,873	—
84	▼ 4	wizardlm-13bOpenMicrosoft	1,064	±7	7,175	—
85	▼ 4	mpt-30b-chatOpenMosaicML	1,060	±11	2,644	—
86	▼ 4	falcon-180b-chatOpenTII	1,059	±15	1,327	—
87	▼ 4	vicuna-13bOpenLMSYS	1,058	±5	19,773	—
88	▼ 3	phi-3-mini-4k-instructOpenMicrosoft	1,056	±4	21,092	—
89	▼ 5	qwen-14b-chatOpenAlibaba	1,056	±9	5,067	—
90	▼ 4	llama-2-13b-chatOpenMeta	1,054	±4	19,713	—
91	▼ 4	smollm2-1.7b-instructOpenHuggingFace	1,051	±12	2,376	—
92	▼ 4	zephyr-7b-betaOpenHuggingFace	1,049	±5	11,321	—
93	▼ 4	phi-3-mini-128k-instructOpenMicrosoft	1,049	±4	21,625	—
94	▼ 4	gemma-7b-itOpenGoogle	1,048	±6	9,176	—
95	▼ 4	codellama-34b-instructOpenMeta	1,047	±6	7,508	—
96	▼ 4	zephyr-7b-alphaOpenHuggingFace	1,046	±12	1,812	—
97	▼ 4	llama-3.2-1b-instructOpenMeta	1,045	±6	8,518	—
98	▼ 4	gemma-1.1-2b-itOpenGoogle	1,040	±5	11,349	—
99	▼ 4	guanaco-33bOpenUW	1,040	±11	2,995	—
100	▼ 4	codellama-70b-instructOpenMeta	1,038	±16	1,192	—
101	▼ 4	stripedhyena-nous-7bOpenTogether AI	1,034	±8	5,277	—
102	▼ 4	mistral-7b-instructOpenMistral	1,026	±5	9,144	—
103	▼ 4	llama-2-7b-chatOpenMeta	1,025	±4	14,532	—
104	▼ 4	vicuna-7bOpenLMSYS	1,021	±8	7,015	—
105	▼ 4	qwen1.5-4b-chatOpenAlibaba	1,014	±7	7,819	—
106	▼ 4	gemma-2b-itOpenGoogle	1,008	±8	4,918	—
107	▼ 4	olmo-7b-instructOpenAi2	994	±7	6,501	—
108	▼ 4	koala-13bOpenUC Berkeley	980	±8	7,020	—
109	▼ 4	chatglm3-6bOpenTsinghua	974	±9	4,762	—
110	▼ 4	gpt4all-13b-snoozyOpenNomic AI	973	±14	1,788	—
111	▼ 4	mpt-7b-chatOpenMosaicML	967	±10	3,997	—
112	▼ 4	alpaca-13bOpenStanford	967	±8	5,864	—
113	▼ 4	RWKV-4-Raven-14BOpenRWKV	949	±8	4,920	—
114	▼ 4	chatglm2-6bOpenTsinghua	942	±10	2,712	—
115	▼ 4	oasst-pythia-12bOpenOpenAssistant	931	±8	6,368	—
116	▼ 4	fastchat-t5-3bOpenLMSYS	897	±9	4,288	—
117	▼ 4	chatglm-6bOpenTsinghua	889	±9	4,983	—
118	▼ 4	dolly-v2-12bOpenDatabricks	882	±11	3,480	—
119	▼ 4	llama-13bOpenMeta	868	±15	2,446	—
120	▼ 4	stablelm-tuned-alpha-7bOpenStability AI	859	±10	3,336	—

70 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