Model rankings

Rank	Change	Model	Score	95% interval	Votes	Price $/M
1	—	deepseek-v3-0324OpenDeepSeek · 1 more variant	1,382	±5	9,741	—
2	—	deepseek-r1OpenDeepSeek	1,376	±4	19,339	—
3	—	qwen3-235b-a22bOpenAlibaba	1,343	±9	4,942	—
4	—	gemma-3-27b-itOpenGoogle	1,343	±5	12,989	—
5	New	qwen3-32bOpenAlibaba	1,328	±9	3,960	—
6	New	llama-3.1-nemotron-ultra-253b-v1OpenNVIDIA	1,326	±11	2,658	—
7	▼ 2	command-a-03-2025OpenCohere	1,325	±5	11,530	—
8	▼ 2	gemma-3-12b-itOpenGoogle	1,323	±8	3,882	—
9	▼ 2	qwq-32bOpenAlibaba · 1 more variant	1,316	±5	9,936	—
10	▼ 2	llama-3.1-405b-instruct-bf16OpenMeta	1,314	±2	43,790	—
11	▼ 2	llama-3.1-405b-instruct-fp8OpenMeta	1,313	±2	63,035	—
12	▼ 2	llama-4-maverick-17b-128e-instructOpenMeta	1,309	±7	8,797	—
13	▼ 2	llama-3.3-nemotron-49b-super-v1OpenNVIDIA	1,308	±11	2,368	—
14	▼ 2	deepseek-v2.5-1210OpenDeepSeek · 1 more variant	1,301	±7	7,245	—
15	New	qwen3-30b-a3bOpenAlibaba	1,295	±9	4,159	—
16	▼ 3	llama-3.3-70b-instructOpenMeta	1,295	±3	38,078	—
17	New	gemma-3n-e4b-itOpenGoogle	1,293	±10	3,583	—
18	▼ 4	mistral-large-2407OpenMistral · 1 more variant	1,292	±2	48,218	—
19	▼ 4	qwen-max-0919OpenAlibaba	1,292	±5	17,431	—
20	▼ 4	athene-v2-chatOpenNexusFlow	1,291	±3	26,074	—
21	New	llama-4-scout-17b-16e-instructOpenMeta	1,290	±10	3,397	—
22	▼ 5	athene-70b-0725OpenNexusFlow	1,283	±4	20,581	—
23	▼ 5	qwen2.5-72b-instructOpenAlibaba	1,283	±2	41,520	—
24	▼ 5	gemma-3-4b-itOpenGoogle	1,282	±8	4,206	—
25	New	mistral-small-3.1-24b-instruct-2503OpenMistral	1,279	±10	2,352	—
26	▼ 6	llama-3.1-nemotron-70b-instructOpenNVIDIA	1,277	±7	7,579	—
27	▼ 6	llama-3.1-70b-instructOpenMeta	1,274	±2	58,638	—
28	▼ 6	llama-3.1-tulu-3-70bOpenAi2	1,269	±11	3,012	—
29	▼ 6	gemma-2-27b-itOpenGoogle	1,267	±2	79,529	—
30	▼ 6	jamba-1.5-largeOpenAI21 Labs	1,266	±6	9,125	—
31	▼ 6	llama-3.1-nemotron-51b-instructOpenNVIDIA	1,264	±8	3,888	—
32	▼ 6	gemma-2-9b-it-simpoOpenPrinceton	1,260	±5	10,547	—
33	▼ 6	command-r-plus-08-2024OpenCohere	1,257	±5	10,536	—
34	▼ 6	nemotron-4-340b-instructOpenNVIDIA	1,256	±4	20,610	—
35	▼ 6	llama-3-70b-instructOpenMeta	1,255	±2	163,623	—
36	▼ 6	mistral-small-24b-instruct-2501OpenMistral	1,252	±4	15,322	—
37	▼ 6	qwen2.5-coder-32b-instructOpenAlibaba	1,250	±7	5,731	—
38	▼ 6	c4ai-aya-expanse-32bOpenCohere	1,245	±4	28,760	—
39	▼ 6	command-r-plusOpenCohere	1,243	±2	80,841	—
40	▼ 6	deepseek-coder-v2OpenDeepSeek	1,242	±4	15,753	—
41	▼ 6	gemma-2-9b-itOpenGoogle	1,241	±2	57,200	—
42	▼ 6	qwen2-72b-instructOpenAlibaba	1,240	±2	38,873	—
43	▼ 6	phi-4OpenMicrosoft	1,237	±3	25,213	—
44	▼ 6	command-r-08-2024OpenCohere	1,236	±5	10,852	—
45	▼ 6	olmo-2-0325-32b-instructOpenAi2	1,236	±10	3,456	—
46	▼ 6	jamba-1.5-miniOpenAI21 Labs	1,220	±6	9,273	—
47	▼ 6	ministral-8b-2410OpenMistral	1,220	±8	5,109	—
48	▼ 6	qwen1.5-110b-chatOpenAlibaba	1,215	±3	27,431	—
49	▼ 6	c4ai-aya-expanse-8bOpenCohere	1,211	±5	10,391	—
50	▼ 6	mixtral-8x22b-instruct-v0.1OpenMistral	1,209	±3	53,756	—
51	▼ 6	qwen1.5-72b-chatOpenAlibaba	1,208	±3	40,655	—
52	▼ 6	command-rOpenCohere	1,208	±3	56,397	—
53	▼ 6	llama-3.1-tulu-3-8bOpenAi2	1,207	±9	3,075	—
54	▼ 6	llama-3-8b-instructOpenMeta	1,203	±2	109,061	—
55	▼ 6	granite-3.1-8b-instructOpenIBM	1,195	±11	3,289	—
56	▼ 6	yi-1.5-34b-chatOpen01 AI	1,193	±3	25,136	—
57	▼ 6	llama-3.1-8b-instructOpenMeta	1,193	±2	52,585	—
58	▼ 6	zephyr-orpo-141b-A35b-v0.1OpenHuggingFace	1,190	±8	4,854	—
59	▼ 6	qwen1.5-32b-chatOpenAlibaba	1,186	±4	22,765	—
60	▼ 5	gemma-2-2b-itOpenGoogle	1,178	±3	48,894	—
61	▼ 7	phi-3-medium-4k-instructOpenMicrosoft	1,178	±4	26,106	—
62	▼ 6	internlm2_5-20b-chatOpenInternLM	1,176	±5	10,599	—
63	▼ 6	mixtral-8x7b-instruct-v0.1OpenMistral	1,174	±2	76,134	—
64	▼ 6	dbrx-instruct-previewOpenDatabricks	1,173	±3	33,743	—
65	▼ 6	granite-3.0-8b-instructOpenIBM	1,169	±7	7,002	—
66	▼ 6	qwen1.5-14b-chatOpenAlibaba	1,167	±4	18,682	—
67	▼ 6	wizardlm-70bOpenMicrosoft	1,165	±7	8,383	—
68	▼ 6	granite-3.1-2b-instructOpenIBM	1,164	±11	3,380	—
69	▼ 6	snowflake-arctic-instructOpenSnowflake	1,162	±3	34,175	—
70	▼ 6	yi-34b-chatOpen01 AI	1,161	±4	15,916	—
71	▼ 6	openchat-3.5-0106OpenOpenChat · 1 more variant	1,160	±6	12,990	—
72	▼ 6	gemma-1.1-7b-itOpenGoogle	1,159	±4	25,072	—
73	▼ 6	phi-3-small-8k-instructOpenMicrosoft	1,158	±5	18,473	—
74	▼ 6	llama-3.2-3b-instructOpenMeta	1,153	±6	8,390	—
75	▼ 6	starling-lm-7b-betaOpenNexusflow	1,152	±4	16,675	—
76	▼ 6	tulu-2-dpo-70bOpenAllenAI/UW	1,152	±7	6,659	—
77	▼ 6	vicuna-33bOpenLMSYS	1,151	±4	22,936	—
78	▼ 6	deepseek-llm-67b-chatOpenDeepSeek	1,151	±7	4,988	—
79	▼ 6	openhermes-2.5-mistral-7bOpenNousResearch	1,149	±8	5,088	—
80	▼ 6	starling-lm-7b-alphaOpenUC Berkeley	1,143	±6	10,415	—
81	▼ 6	granite-3.0-2b-instructOpenIBM	1,142	±7	7,189	—
82	▼ 6	llama-2-70b-chatOpenMeta	1,141	±3	39,594	—
83	▼ 6	llama2-70b-steerlm-chatOpenNVIDIA	1,134	±9	3,636	—
84	▼ 6	nous-hermes-2-mixtral-8x7b-dpoOpenNousResearch	1,132	±9	3,838	—
85	▼ 6	dolphin-2.2.1-mistral-7bOpenCognitive Computations	1,129	±16	1,714	—
86	▼ 6	phi-3-mini-4k-instruct-june-2024OpenMicrosoft	1,128	±5	12,808	—
87	▼ 6	mistral-7b-instruct-v0.2OpenMistral	1,127	±3	20,071	—
88	▼ 6	solar-10.7b-instruct-v1.0OpenUpstage AI	1,126	±10	4,286	—
89	▼ 6	qwen1.5-7b-chatOpenAlibaba	1,125	±7	4,872	—
90	▼ 6	wizardlm-13bOpenMicrosoft	1,123	±6	7,176	—
91	▼ 6	mpt-30b-chatOpenMosaicML	1,120	±12	2,644	—
92	▼ 6	falcon-180b-chatOpenTII	1,119	±17	1,327	—
93	▼ 6	vicuna-13bOpenLMSYS	1,118	±4	19,776	—
94	▼ 6	phi-3-mini-4k-instructOpenMicrosoft	1,116	±3	21,097	—
95	▼ 6	qwen-14b-chatOpenAlibaba	1,116	±8	5,065	—
96	▼ 6	llama-2-13b-chatOpenMeta	1,114	±4	19,725	—
97	▼ 6	smollm2-1.7b-instructOpenHuggingFace	1,111	±11	2,375	—
98	▼ 6	zephyr-7b-betaOpenHuggingFace	1,109	±6	11,324	—
99	▼ 6	phi-3-mini-128k-instructOpenMicrosoft	1,109	±4	21,620	—
100	▼ 6	gemma-7b-itOpenGoogle	1,108	±6	9,176	—
101	▼ 6	codellama-34b-instructOpenMeta	1,107	±7	7,508	—
102	▼ 6	zephyr-7b-alphaOpenHuggingFace	1,106	±14	1,811	—
103	▼ 6	llama-3.2-1b-instructOpenMeta	1,105	±7	8,523	—
104	▼ 6	gemma-1.1-2b-itOpenGoogle	1,100	±5	11,348	—
105	▼ 6	guanaco-33bOpenUW	1,100	±11	2,995	—
106	▼ 6	codellama-70b-instructOpenMeta	1,098	±17	1,192	—
107	▼ 6	stripedhyena-nous-7bOpenTogether AI	1,094	±8	5,276	—
108	▼ 6	mistral-7b-instructOpenMistral	1,086	±7	9,142	—
109	▼ 6	llama-2-7b-chatOpenMeta	1,085	±5	14,533	—
110	▼ 6	vicuna-7bOpenLMSYS	1,081	±7	7,017	—
111	▼ 6	qwen1.5-4b-chatOpenAlibaba	1,074	±7	7,818	—
112	▼ 6	gemma-2b-itOpenGoogle	1,068	±10	4,920	—
113	▼ 6	olmo-7b-instructOpenAi2	1,054	±7	6,501	—
114	▼ 6	koala-13bOpenUC Berkeley	1,040	±8	7,020	—
115	▼ 6	chatglm3-6bOpenTsinghua	1,034	±8	4,762	—
116	▼ 6	gpt4all-13b-snoozyOpenNomic AI	1,032	±11	1,788	—
117	▼ 6	mpt-7b-chatOpenMosaicML	1,027	±9	3,997	—
118	▼ 6	alpaca-13bOpenStanford	1,026	±8	5,864	—
119	▼ 6	RWKV-4-Raven-14BOpenRWKV	1,009	±9	4,920	—
120	▼ 6	chatglm2-6bOpenTsinghua	1,002	±11	2,713	—
121	▼ 6	oasst-pythia-12bOpenOpenAssistant	991	±8	6,369	—
122	▼ 6	fastchat-t5-3bOpenLMSYS	956	±9	4,287	—
123	▼ 6	chatglm-6bOpenTsinghua	948	±9	4,983	—
124	▼ 6	dolly-v2-12bOpenDatabricks	941	±10	3,480	—
125	▼ 6	llama-13bOpenMeta	927	±14	2,446	—
126	▼ 6	stablelm-tuned-alpha-7bOpenStability AI	919	±11	3,336	—

76 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