Model rankings

Rank	Change	Model	Score	95% interval	Votes	Price $/M
1	—	kimi-k3-maxOpenMoonshot AI	1,488	±5	26,400	—
2	New	mimo-v2.6-proOpenXiaomi	1,480	±9	4,026	$0.54
3	▼ 1	glm-5.3-maxOpenZ.ai	1,480	±6	15,904	—
4	New	deepseek-v4.1-flash-maxOpenDeepSeek	1,477	±8	6,630	—
5	▼ 1	glm-5.2-maxOpenZ.ai	1,476	±4	43,570	—
6	▼ 3	glm-5.3-flashOpenZ.ai	1,474	±6	19,103	$0.24
7	▼ 2	mimo-v2.5-proOpenXiaomi	1,467	±4	69,225	—
8	▼ 2	glm-5.1OpenZ.ai	1,465	±4	56,463	—
9	▼ 2	deepseek-v4-pro-high-20260813OpenDeepSeek · 1 more variant	1,464	±7	9,857	—
10	▼ 2	kimi-k2.6OpenMoonshot AI	1,461	±4	39,971	—
11	▼ 1	deepseek-v4-proOpenDeepSeek	1,458	±4	57,564	—
12	▼ 3	glm-5OpenZ.ai	1,457	±4	29,152	—
13	▼ 2	hy3OpenTencent	1,457	±7	9,839	—
14	New	mimo-v2.6-flashOpenXiaomi	1,454	±9	4,067	$0.18
15	▼ 3	gemma-4-31bOpenGoogle	1,453	±7	6,135	$0.000
16	▼ 3	kimi-k2.5-thinkingOpenMoonshot AI	1,450	±3	74,638	—
17	—	inklingOpenThinking Machines	1,442	±5	32,778	$1.8
18	▼ 4	qwen3.5-397b-a17bOpenAlibaba	1,442	±3	86,319	—
19	▼ 4	glm-4.7OpenZ.ai	1,441	±6	12,217	—
20	▼ 4	minimax-m3OpenMiniMax	1,440	±4	56,646	$0.52
21	▼ 3	deepseek-v4-flash-high-previewOpenDeepSeek	1,439	±4	51,747	—
22	▼ 2	qwen3.8-27bOpenAlibaba	1,438	±6	16,383	$1.1
23	▼ 4	gemma-4-26b-a4bOpenGoogle	1,438	±7	6,078	—
24	▼ 3	deepseek-v4-flashOpenDeepSeek	1,436	±4	51,871	—
25	▼ 3	mimo-v2.5OpenXiaomi	1,434	±4	47,276	—
26	▼ 3	kimi-k2.5-instantOpenMoonshot AI	1,430	±7	8,358	—
27	▼ 3	kimi-k2-thinking-turboOpenMoonshot AI	1,430	±3	63,241	—
28	▼ 2	mistral-medium-3.5OpenMistral	1,426	±6	11,693	$3.0
29	▼ 2	nvidia-nemotron-3-ultra-550b-a55b-nvfp4OpenNVIDIA	1,425	±7	11,450	—
30	▼ 2	deepseek-v3.2-exp-thinkingOpenDeepSeek · 1 more variant	1,425	±7	8,942	—
31	▼ 2	deepseek-v3.2OpenDeepSeek · 1 more variant	1,425	±3	48,010	—
32	▼ 7	muse-glimmerOpenMeta	1,424	±10	3,893	$0.52
33	▼ 3	glm-4.6OpenZ.ai	1,424	±4	35,678	—
34	▼ 3	qwen3-235b-a22b-instruct-2507OpenAlibaba	1,422	±3	97,815	—
35	▼ 3	deepseek-r1-0528OpenDeepSeek · 1 more variant	1,422	±6	18,065	—
36	▼ 3	kimi-k2-0905-previewOpenMoonshot AI · 1 more variant	1,419	±7	11,537	—
37	▼ 3	deepseek-v3.1-terminus-thinkingOpenDeepSeek · 1 more variant	1,417	±10	3,351	—
38	▼ 3	deepseek-v3.1OpenDeepSeek · 1 more variant	1,417	±6	14,543	—
39	▼ 3	qwen3.5-122b-a10bOpenAlibaba	1,416	±4	29,671	—
40	▼ 3	minimax-m2.7OpenMiniMax	1,415	±3	77,968	—
41	▼ 3	qwen3-vl-235b-a22b-instructOpenAlibaba	1,413	±7	11,241	—
42	▼ 3	mistral-large-3OpenMistral	1,413	±3	77,456	—
43	▼ 2	glm-4.5OpenZ.ai	1,411	±5	23,659	—
44	▼ 4	hunyuan-hy3-previewOpenTencent	1,409	±7	6,878	—
45	▼ 3	qwen3.5-27bOpenAlibaba	1,409	±4	28,640	—
46	▼ 3	Inkling SmallOpenThinking Machines	1,405	±5	24,758	$0.52
47	▼ 3	qwen3-235b-a22b-no-thinkingOpenAlibaba	1,403	±5	37,284	—
48	▼ 3	longcat-flash-chatOpenMeituan	1,401	±6	11,119	—
49	▼ 3	qwen3-235b-a22b-thinking-2507OpenAlibaba	1,400	±7	8,776	—
50	▼ 3	qwen3-next-80b-a3b-instructOpenAlibaba	1,399	±5	22,602	—
51	▼ 3	deepseek-v3-0324OpenDeepSeek · 1 more variant	1,396	±4	44,754	—
52	▼ 3	qwen3-vl-235b-a22b-thinkingOpenAlibaba	1,395	±7	7,797	—
53	▼ 3	qwen3.5-35b-a3bOpenAlibaba	1,394	±4	30,420	—
54	▼ 3	step-3.5-flashOpenStepFun	1,393	±4	60,243	—
55	▼ 3	mimo-v2-flash (non-thinking)OpenXiaomi · 1 more variant	1,392	±3	48,020	—
56	▼ 3	minimax-m2.5OpenMiniMax	1,391	±4	42,743	—
57	▼ 3	qwen3-coder-480b-a35b-instructOpenAlibaba	1,387	±5	25,012	—
58	▼ 3	minimax-m2.1-previewOpenMiniMax	1,385	±5	17,192	—
59	▼ 3	qwen3-30b-a3b-instruct-2507OpenAlibaba	1,383	±5	23,179	—
60	▼ 2	trinity-large-previewOpen · 1 more variant	1,379	±4	31,227	—
61	▼ 4	glm-4.6vOpenZ.ai	1,379	±11	2,830	—
62	▼ 3	qwen3-235b-a22bOpenAlibaba	1,375	±5	25,827	—
63	▼ 3	glm-4.5-airOpenZ.ai	1,373	±4	30,453	—
64	▼ 3	qwen3-next-80b-a3b-thinkingOpenAlibaba	1,369	±6	13,373	—
65	▼ 2	gemma-3-27b-itOpenGoogle	1,365	±4	46,433	—
66	▼ 4	glm-4.7-flashOpenZ.ai	1,365	±6	11,983	—
67	▼ 3	minimax-m1OpenMiniMax	1,364	±4	34,045	—
68	▼ 3	nvidia-nemotron-3-super-120b-a12bOpenNVIDIA	1,360	±7	7,864	—
69	▼ 3	mistral-small-2506OpenMistral	1,357	±5	17,352	—
70	▼ 3	intellect-3Open	1,356	±8	5,419	—
71	▼ 3	command-a-03-2025OpenCohere	1,354	±3	55,477	—
72	▼ 3	glm-4.5vOpenZ.ai	1,352	±8	4,809	—
73	▼ 3	gpt-oss-120bOpenOpenAI	1,352	±4	30,021	$0.26
74	▼ 2	step-3OpenStepFun	1,349	±8	6,267	—
75	▼ 2	llama-3.1-nemotron-ultra-253b-v1OpenNVIDIA	1,348	±12	2,549	—
76	▼ 2	qwen3-32bOpenAlibaba	1,347	±9	3,926	—
77	▼ 6	nvidia-nemotron-3.5-lightning-30b-a3b-nvfp4OpenNVIDIA	1,347	±6	12,912	—
78	▼ 2	ling-flash-2.0OpenAnt Group	1,344	±7	6,889	—
79	▼ 4	minimax-m2OpenMiniMax	1,343	±8	6,817	—
80	▼ 3	nvidia-llama-3.3-nemotron-super-49b-v1.5OpenNVIDIA	1,343	±10	3,308	—
81	▼ 2	gemma-3-12b-itOpenGoogle	1,342	±10	3,829	—
82	▼ 4	granite-4.2-30bOpenIBM	1,341	±10	3,385	—
83	▼ 3	qwq-32bOpenAlibaba · 1 more variant	1,336	±4	25,080	—
84	▼ 3	llama-3.1-405b-instruct-bf16OpenMeta	1,335	±4	41,375	—
85	▼ 3	llama-3.1-405b-instruct-fp8OpenMeta	1,334	±4	59,656	—
86	▼ 3	olmo-3.1-32b-instructOpenAi2	1,329	±6	11,798	—
87	▼ 2	llama-3.3-nemotron-49b-super-v1OpenNVIDIA	1,328	±12	2,218	—
88	▼ 2	llama-4-maverick-17b-128e-instructOpenMeta	1,327	±4	39,266	—
89	▼ 2	qwen3-30b-a3bOpenAlibaba	1,327	±5	26,041	—
90	▼ 2	deepseek-v2.5-1210OpenDeepSeek · 1 more variant	1,323	±8	6,795	—
91	▼ 1	ring-flash-2.0OpenAnt Group	1,322	±7	6,933	—
92	▼ 8	molmo-2-8bOpenAi2	1,322	±21	818	—
93	▼ 4	llama-4-scout-17b-16e-instructOpenMeta	1,322	±5	29,673	—
94	▼ 3	qwen-max-0919OpenAlibaba	1,318	±6	16,478	—
95	▼ 3	llama-3.3-70b-instructOpenMeta	1,318	±4	54,368	—
96	▼ 3	gpt-oss-20bOpenOpenAI	1,318	±6	10,372	—
97	▼ 3	gemma-3n-e4b-itOpenGoogle	1,317	±5	22,041	—
98	▼ 2	mistral-large-2407OpenMistral · 1 more variant	1,314	±4	45,459	—
99	▼ 2	athene-v2-chatOpen	1,314	±5	24,739	—
100	▼ 5	nvidia-nemotron-3-nano-30b-a3b-bf16OpenNVIDIA	1,313	±5	15,731	—
101	▼ 2	athene-70b-0725Open	1,307	±6	19,621	—
102	▼ 4	olmo-3-32b-thinkOpenAi2	1,306	±8	5,817	—
103	▼ 3	granite-4.1-8bOpenIBM	1,304	±10	4,168	—
104	▼ 3	gemma-3-4b-itOpenGoogle	1,303	±9	4,171	—
105	▼ 3	mistral-small-3.1-24b-instruct-2503OpenMistral	1,303	±5	32,548	—
106	▼ 3	qwen2.5-72b-instructOpenAlibaba	1,303	±4	39,406	—
107	▼ 3	llama-3.1-nemotron-70b-instructOpenNVIDIA	1,299	±8	7,140	—
108	▼ 2	llama-3.1-70b-instructOpenMeta	1,293	±4	55,240	—
109	▼ 4	granite-4.2-3bOpenIBM	1,292	±12	3,237	—
110	▼ 2	gemma-2-27b-itOpenGoogle	1,289	±3	75,754	—
111	▼ 4	jamba-1.5-largeOpen	1,289	±7	8,662	—
112	▼ 3	granite-4.2-8bOpenIBM	1,289	±11	3,218	$0.11
113	▼ 1	ibm-granite-h-smallOpenIBM	1,287	±8	5,576	—
114	▼ 4	llama-3.1-nemotron-51b-instructOpenNVIDIA	1,287	±10	3,749	—
115	▼ 2	olmo-3.1-32b-thinkOpenAi2	1,287	±7	8,285	—
116	▼ 5	llama-3.1-tulu-3-70bOpenAi2	1,286	±10	2,846	—
117	▼ 3	gemma-2-9b-it-simpoOpen	1,280	±7	10,072	—
118	▼ 3	nemotron-4-340b-instructOpenNVIDIA	1,277	±5	19,659	—
119	▼ 3	llama-3-70b-instructOpenMeta	1,277	±4	156,876	—
120	▼ 3	command-r-plus-08-2024OpenCohere	1,276	±7	9,866	—
121	▼ 3	mistral-small-24b-instruct-2501OpenMistral	1,274	±6	14,681	—
122	▼ 3	qwen2.5-coder-32b-instructOpenAlibaba	1,271	±8	5,432	—
123	▼ 3	c4ai-aya-expanse-32bOpenCohere	1,267	±5	27,124	—
124	▼ 3	gemma-2-9b-itOpenGoogle	1,267	±4	54,611	—
125	▼ 3	deepseek-coder-v2OpenDeepSeek	1,265	±6	15,147	—
126	▼ 3	qwen2-72b-instructOpenAlibaba	1,262	±5	37,325	—
127	▼ 3	command-r-plusOpenCohere	1,262	±4	77,554	—
128	▼ 3	phi-4OpenMicrosoft	1,256	±5	24,126	—
129	▼ 3	olmo-2-0325-32b-instructOpenAi2	1,252	±11	3,334	—
130	▼ 3	command-r-08-2024OpenCohere	1,250	±7	10,140	—
131	▼ 3	jamba-1.5-miniOpen	1,240	±7	8,858	—
132	▼ 3	ministral-8b-2410OpenMistral	1,238	±9	4,781	—
133	▼ 3	qwen1.5-110b-chatOpenAlibaba	1,234	±6	26,195	—
134	▼ 3	qwen1.5-72b-chatOpenAlibaba	1,234	±5	39,302	—
135	▼ 3	mixtral-8x22b-instruct-v0.1OpenMistral	1,230	±5	51,416	—
136	▼ 3	command-rOpenCohere	1,227	±5	54,036	—
137	▼ 3	llama-3-8b-instructOpenMeta	1,224	±4	104,642	—
138	▼ 3	c4ai-aya-expanse-8bOpenCohere	1,223	±7	9,818	—
139	▼ 3	llama-3.1-tulu-3-8bOpenAi2	1,220	±11	2,896	—
140	▼ 3	zephyr-orpo-141b-A35b-v0.1Open	1,213	±11	4,652	—
141	▼ 3	yi-1.5-34b-chatOpen	1,213	±5	24,146	—
142	▼ 3	llama-3.1-8b-instructOpenMeta	1,211	±4	49,605	—
143	▼ 3	granite-3.1-8b-instructOpenIBM	1,208	±11	3,090	—
144	▼ 3	qwen1.5-32b-chatOpenAlibaba	1,204	±6	21,741	—
145	▼ 3	gemma-2-2b-itOpenGoogle	1,200	±4	46,616	—
146	▼ 3	phi-3-medium-4k-instructOpenMicrosoft	1,198	±5	25,055	—
147	▼ 3	mixtral-8x7b-instruct-v0.1OpenMistral	1,197	±4	73,503	—
148	▼ 3	dbrx-instruct-previewOpen	1,196	±6	32,191	—
149	▼ 3	qwen1.5-14b-chatOpenAlibaba	1,191	±7	17,839	—
150	▼ 3	internlm2_5-20b-chatOpen	1,191	±7	9,901	—
151	▼ 3	deepseek-llm-67b-chatOpenDeepSeek	1,185	±11	4,932	—
152	▼ 3	wizardlm-70bOpenMicrosoft	1,185	±9	8,214	—
153	▼ 3	yi-34b-chatOpen	1,184	±7	15,483	—
154	▼ 3	granite-3.0-8b-instructOpenIBM	1,183	±9	6,638	—
155	▼ 3	openchat-3.5Open · 1 more variant	1,183	±10	7,968	—
156	▼ 3	gemma-1.1-7b-itOpenGoogle	1,183	±6	23,893	—
157	▼ 3	snowflake-arctic-instructOpen	1,180	±6	32,832	—
158	▼ 3	granite-3.1-2b-instructOpenIBM	1,179	±11	3,188	—
159	▼ 3	tulu-2-dpo-70bOpen	1,178	±10	6,535	—
160	▼ 3	openhermes-2.5-mistral-7bOpen	1,176	±10	5,006	—
161	▼ 3	vicuna-33bOpen	1,173	±6	22,479	—
162	▼ 2	phi-3-small-8k-instructOpenMicrosoft	1,171	±6	17,766	—
163	▼ 4	starling-lm-7b-betaOpen	1,171	±7	16,056	—
164	▼ 3	llama-2-70b-chatOpenMeta	1,171	±5	38,492	—
165	▼ 3	starling-lm-7b-alphaOpen	1,167	±8	10,224	—
166	▼ 3	llama-3.2-3b-instructOpenMeta	1,167	±8	7,936	—
167	▼ 3	nous-hermes-2-mixtral-8x7b-dpoOpen	1,164	±12	3,777	—
168	▼ 3	granite-3.0-2b-instructOpenIBM	1,157	±8	6,837	—
169	▼ 3	llama2-70b-steerlm-chatOpenNVIDIA	1,155	±13	3,585	—
170	▼ 3	solar-10.7b-instruct-v1.0Open	1,152	±13	4,155	—
171	▼ 3	dolphin-2.2.1-mistral-7bOpen	1,152	±15	1,679	—
172	▼ 3	mpt-30b-chatOpen	1,151	±12	2,572	—
173	▼ 3	wizardlm-13bOpenMicrosoft	1,150	±9	7,044	—
174	▼ 3	mistral-7b-instruct-v0.2OpenMistral	1,149	±7	19,402	—
175	▼ 3	falcon-180b-chatOpen	1,148	±17	1,295	—
176	▼ 3	qwen1.5-7b-chatOpenAlibaba	1,144	±10	4,737	—
177	▼ 3	phi-3-mini-4k-instruct-june-2024OpenMicrosoft	1,143	±6	12,297	—
178	▼ 3	vicuna-13bOpen	1,142	±7	19,367	—
179	▼ 3	llama-2-13b-chatOpenMeta	1,141	±7	19,174	—
180	▼ 3	qwen-14b-chatOpenAlibaba	1,139	±11	4,964	—
181	▼ 3	gemma-7b-itOpenGoogle	1,138	±9	8,925	—
182	▼ 3	codellama-34b-instructOpenMeta	1,137	±9	7,366	—
183	▼ 3	zephyr-7b-betaOpen	1,131	±9	11,118	—
184	▼ 3	phi-3-mini-128k-instructOpenMicrosoft	1,130	±7	20,685	—
185	▼ 3	phi-3-mini-4k-instructOpenMicrosoft	1,128	±6	20,118	—
186	▼ 3	guanaco-33bOpen	1,127	±12	2,921	—
187	▼ 3	zephyr-7b-alphaOpen	1,127	±16	1,785	—
188	▼ 3	stripedhyena-nous-7bOpen	1,122	±11	5,182	—
189	▼ 3	codellama-70b-instructOpenMeta	1,119	±18	1,143	—
190	▼ 3	gemma-1.1-2b-itOpenGoogle	1,117	±8	10,854	—
191	▼ 3	vicuna-7bOpen	1,115	±9	6,923	—
192	▼ 3	smollm2-1.7b-instructOpen	1,115	±14	2,199	—
193	▼ 3	llama-3.2-1b-instructOpenMeta	1,111	±8	8,045	—
194	▼ 3	mistral-7b-instructOpenMistral	1,110	±9	8,977	—
195	▼ 3	llama-2-7b-chatOpenMeta	1,108	±7	14,148	—
196	▼ 3	gemma-2b-itOpenGoogle	1,094	±11	4,780	—
197	▼ 3	qwen1.5-4b-chatOpenAlibaba	1,091	±9	7,597	—
198	▼ 3	olmo-7b-instructOpenAi2	1,074	±11	6,328	—
199	▼ 3	koala-13bOpen	1,071	±10	6,965	—
200	▼ 3	alpaca-13bOpen	1,070	±11	5,745	—
201	▼ 3	gpt4all-13b-snoozyOpen	1,068	±15	1,743	—
202	▼ 3	mpt-7b-chatOpen	1,063	±12	3,924	—
203	▼ 3	chatglm3-6bOpen	1,057	±12	4,658	—
204	▼ 3	RWKV-4-Raven-14BOpen	1,042	±11	4,845	—
205	▼ 3	chatglm2-6bOpen	1,025	±14	2,658	—
206	▼ 3	oasst-pythia-12bOpen	1,024	±11	6,310	—
207	▼ 3	chatglm-6bOpen	996	±13	4,914	—
208	▼ 3	fastchat-t5-3bOpen	993	±12	4,203	—
209	▼ 3	dolly-v2-12bOpen	982	±13	3,412	—
210	▼ 3	llama-13bOpenMeta	975	±16	2,391	—
211	▼ 3	stablelm-tuned-alpha-7bOpen	953	±13	3,287	—

161 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