Model rankings

Rank	Change	Model	Score	95% interval	Votes	Price $/M
1	—	llama-3.1-405b-instruct-fp8OpenMeta	1,252	±3	61,518	—
2	—	llama-3.1-405b-instruct-bf16OpenMeta	1,252	±5	14,535	—
3	New	llama-3.3-70b-instructOpenMeta	1,234	±7	7,647	—
4	▼ 1	athene-v2-chatOpenNexusFlow	1,232	±4	12,597	—
5	▼ 1	mistral-large-2407OpenMistral · 1 more variant	1,231	±3	48,378	—
6	▼ 1	qwen-max-0919OpenAlibaba	1,231	±4	17,581	—
7	▼ 1	deepseek-v2.5OpenDeepSeek	1,225	±3	26,507	—
8	—	athene-70b-0725OpenNexusFlow	1,223	±3	20,643	—
9	▼ 2	qwen2.5-72b-instructOpenAlibaba	1,222	±4	35,637	—
10	▼ 1	llama-3.1-nemotron-70b-instructOpenNVIDIA	1,216	±5	7,672	—
11	▼ 1	llama-3.1-70b-instructOpenMeta	1,214	±3	57,780	—
12	▼ 1	gemma-2-27b-itOpenGoogle	1,207	±3	67,092	—
13	▼ 1	jamba-1.5-largeOpenAI21 Labs	1,204	±6	9,145	—
14	▼ 1	llama-3.1-nemotron-51b-instructOpenNVIDIA	1,204	±8	3,928	—
15	▼ 1	gemma-2-9b-it-simpoOpenPrinceton	1,199	±6	10,569	—
16	▼ 1	command-r-plus-08-2024OpenCohere	1,197	±5	10,578	—
17	▼ 1	nemotron-4-340b-instructOpenNVIDIA	1,196	±4	20,648	—
18	▼ 1	llama-3-70b-instructOpenMeta	1,195	±2	163,884	—
19	▼ 1	qwen2.5-coder-32b-instructOpenAlibaba	1,189	±6	5,744	—
20	▼ 1	c4ai-aya-expanse-32bOpenCohere	1,183	±4	22,447	—
21	▼ 1	command-r-plusOpenCohere	1,183	±2	80,936	—
22	▼ 1	deepseek-coder-v2OpenDeepSeek	1,182	±5	15,785	—
23	▼ 1	qwen2-72b-instructOpenAlibaba	1,181	±4	38,962	—
24	▼ 1	gemma-2-9b-itOpenGoogle	1,179	±3	45,891	—
25	▼ 1	command-r-08-2024OpenCohere	1,176	±5	10,876	—
26	—	jamba-1.5-miniOpenAI21 Labs	1,159	±6	9,282	—
27	▼ 2	ministral-8b-2410OpenMistral	1,159	±8	5,142	—
28	▼ 1	qwen1.5-110b-chatOpenAlibaba	1,156	±4	27,469	—
29	New	c4ai-aya-expanse-8bOpenCohere	1,153	±8	3,291	—
30	▼ 2	mixtral-8x22b-instruct-v0.1OpenMistral	1,149	±3	53,828	—
31	▼ 2	qwen1.5-72b-chatOpenAlibaba	1,148	±3	40,649	—
32	▼ 2	command-rOpenCohere	1,148	±3	56,401	—
33	▼ 2	llama-3-8b-instructOpenMeta	1,143	±2	109,298	—
34	▼ 2	yi-1.5-34b-chatOpen01 AI	1,133	±4	25,157	—
35	▼ 2	llama-3.1-8b-instructOpenMeta	1,133	±3	51,800	—
36	▼ 2	zephyr-orpo-141b-A35b-v0.1OpenHuggingFace	1,131	±8	4,860	—
37	▼ 2	qwen1.5-32b-chatOpenAlibaba	1,127	±4	22,761	—
38	▼ 2	phi-3-medium-4k-instructOpenMicrosoft	1,118	±4	26,130	—
39	▼ 2	internlm2_5-20b-chatOpenInternLM	1,116	±6	10,676	—
40	▼ 1	gemma-2-2b-itOpenGoogle	1,115	±4	37,482	—
41	▼ 3	mixtral-8x7b-instruct-v0.1OpenMistral	1,114	±0	76,146	—
42	▼ 2	dbrx-instruct-previewOpenDatabricks	1,113	±3	33,745	—
43	▼ 2	granite-3.0-8b-instructOpenIBM	1,110	±8	7,068	—
44	▼ 2	qwen1.5-14b-chatOpenAlibaba	1,107	±5	18,682	—
45	▼ 2	wizardlm-70bOpenMicrosoft	1,105	±7	8,383	—
46	▼ 2	snowflake-arctic-instructOpenSnowflake	1,102	±3	34,177	—
47	▼ 2	yi-34b-chatOpen01 AI	1,101	±4	15,923	—
48	▼ 2	openchat-3.5-0106OpenOpenChat · 1 more variant	1,100	±5	12,987	—
49	▼ 2	gemma-1.1-7b-itOpenGoogle	1,099	±3	25,080	—
50	▼ 2	phi-3-small-8k-instructOpenMicrosoft	1,098	±4	18,501	—
51	▼ 2	llama-3.2-3b-instructOpenMeta	1,093	±7	8,427	—
52	▼ 2	tulu-2-dpo-70bOpenAllenAI/UW	1,092	±7	6,662	—
53	▼ 2	starling-lm-7b-betaOpenNexusflow	1,092	±5	16,672	—
54	▼ 2	vicuna-33bOpenLMSYS	1,092	±4	22,957	—
55	▼ 2	deepseek-llm-67b-chatOpenDeepSeek	1,091	±8	4,987	—
56	▼ 2	openhermes-2.5-mistral-7bOpenNousResearch	1,090	±6	5,088	—
57	New	qwq-32b-previewOpenAlibaba	1,083	±11	2,291	—
58	▼ 3	starling-lm-7b-alphaOpenUC Berkeley	1,083	±6	10,414	—
59	▼ 3	granite-3.0-2b-instructOpenIBM	1,082	±8	7,239	—
60	▼ 3	llama-2-70b-chatOpenMeta	1,082	±3	39,646	—
61	▼ 3	llama2-70b-steerlm-chatOpenNVIDIA	1,074	±9	3,637	—
62	▼ 3	nous-hermes-2-mixtral-8x7b-dpoOpenNousResearch	1,072	±8	3,836	—
63	▼ 3	dolphin-2.2.1-mistral-7bOpenCognitive Computations	1,069	±11	1,713	—
64	▼ 3	phi-3-mini-4k-instruct-june-2024OpenMicrosoft	1,068	±5	12,857	—
65	▼ 3	mistral-7b-instruct-v0.2OpenMistral	1,067	±4	20,074	—
66	▼ 3	solar-10.7b-instruct-v1.0OpenUpstage AI	1,066	±8	4,289	—
67	▼ 3	qwen1.5-7b-chatOpenAlibaba	1,065	±7	4,869	—
68	▼ 3	wizardlm-13bOpenMicrosoft	1,063	±7	7,183	—
69	▼ 3	mpt-30b-chatOpenMosaicML	1,060	±11	2,648	—
70	▼ 3	falcon-180b-chatOpenTII	1,059	±16	1,327	—
71	▼ 3	vicuna-13bOpenLMSYS	1,058	±5	19,796	—
72	▼ 3	qwen-14b-chatOpenAlibaba	1,056	±7	5,069	—
73	▼ 3	phi-3-mini-4k-instructOpenMicrosoft	1,056	±4	21,096	—
74	▼ 3	llama-2-13b-chatOpenMeta	1,054	±4	19,738	—
75	▼ 3	zephyr-7b-betaOpenHuggingFace	1,050	±6	11,331	—
76	▼ 3	phi-3-mini-128k-instructOpenMicrosoft	1,049	±4	21,640	—
77	▼ 3	gemma-7b-itOpenGoogle	1,048	±6	9,180	—
78	▼ 3	codellama-34b-instructOpenMeta	1,047	±6	7,511	—
79	▼ 3	zephyr-7b-alphaOpenHuggingFace	1,046	±14	1,814	—
80	▼ 3	llama-3.2-1b-instructOpenMeta	1,045	±7	8,546	—
81	▼ 3	guanaco-33bOpenUW	1,040	±11	3,000	—
82	▼ 3	gemma-1.1-2b-itOpenGoogle	1,040	±6	11,356	—
83	▼ 3	codellama-70b-instructOpenMeta	1,038	±19	1,193	—
84	▼ 3	stripedhyena-nous-7bOpenTogether AI	1,034	±7	5,270	—
85	▼ 3	mistral-7b-instructOpenMistral	1,027	±7	9,145	—
86	▼ 3	llama-2-7b-chatOpenMeta	1,024	±5	14,553	—
87	▼ 3	vicuna-7bOpenLMSYS	1,022	±7	7,014	—
88	▼ 3	qwen1.5-4b-chatOpenAlibaba	1,015	±7	7,813	—
89	▼ 3	gemma-2b-itOpenGoogle	1,008	±8	4,922	—
90	▼ 3	olmo-7b-instructOpenAi2	994	±7	6,505	—
91	▼ 3	koala-13bOpenUC Berkeley	980	±8	7,036	—
92	▼ 3	chatglm3-6bOpenTsinghua	974	±10	4,765	—
93	▼ 3	gpt4all-13b-snoozyOpenNomic AI	972	±16	1,787	—
94	▼ 2	mpt-7b-chatOpenMosaicML	967	±9	4,013	—
95	▼ 4	alpaca-13bOpenStanford	967	±7	5,875	—
96	▼ 3	RWKV-4-Raven-14BOpenRWKV	949	±8	4,934	—
97	▼ 3	chatglm2-6bOpenTsinghua	943	±11	2,709	—
98	▼ 3	oasst-pythia-12bOpenOpenAssistant	931	±8	6,380	—
99	▼ 3	fastchat-t5-3bOpenLMSYS	897	±10	4,302	—
100	▼ 3	chatglm-6bOpenTsinghua	889	±9	4,992	—
101	▼ 3	dolly-v2-12bOpenDatabricks	881	±10	3,484	—
102	▼ 3	llama-13bOpenMeta	867	±13	2,445	—
103	▼ 3	stablelm-tuned-alpha-7bOpenStability AI	859	±10	3,340	—

53 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