Model rankings

Rank	Change	Model	Score	95% interval	Votes	Price $/M
1	—	kimi-k3-maxOpenMoonshot AI	1,488	±5	30,351	—
2	—	mimo-v2.6-proOpenXiaomi	1,480	±9	4,069	$0.54
3	—	glm-5.3-maxOpenZ.ai	1,478	±5	20,049	—
4	—	glm-5.2-maxOpenZ.ai	1,475	±4	47,521	—
5	▲ 1	glm-5.3-flashOpenZ.ai	1,475	±5	27,678	$0.24
6	▼ 1	deepseek-v4.1-flash-maxOpenDeepSeek	1,475	±7	10,872	—
7	—	mimo-v2.5-proOpenXiaomi	1,468	±4	73,197	—
8	▲ 1	deepseek-v4-pro-high-20260813OpenDeepSeek · 1 more variant	1,465	±7	9,815	—
9	▼ 1	glm-5.1OpenZ.ai	1,464	±4	60,592	—
10	—	kimi-k2.6OpenMoonshot AI	1,461	±4	40,066	—
11	—	deepseek-v4-proOpenDeepSeek	1,458	±4	57,657	—
12	—	glm-5OpenZ.ai	1,458	±4	29,292	—
13	—	hy3OpenTencent	1,454	±6	11,284	—
14	—	gemma-4-31bOpenGoogle	1,452	±7	6,145	$0.000
15	—	mimo-v2.6-flashOpenXiaomi	1,451	±7	8,226	$0.18
16	—	kimi-k2.5-thinkingOpenMoonshot AI	1,450	±3	74,811	—
17	—	qwen3.5-397b-a17bOpenAlibaba	1,442	±3	91,190	—
18	—	glm-4.7OpenZ.ai	1,441	±6	12,256	—
19	—	inklingOpenThinking Machines	1,441	±4	37,744	$1.8
20	—	minimax-m3OpenMiniMax	1,440	±4	61,220	$0.52
21	—	deepseek-v4-flash-high-previewOpenDeepSeek	1,439	±4	51,859	—
22	—	qwen3.8-27bOpenAlibaba	1,438	±5	20,711	$1.1
23	—	gemma-4-26b-a4bOpenGoogle	1,438	±7	6,092	—
24	—	deepseek-v4-flashOpenDeepSeek	1,436	±4	52,047	—
25	—	mimo-v2.5OpenXiaomi	1,434	±4	47,402	—
26	—	kimi-k2.5-instantOpenMoonshot AI	1,430	±7	8,378	—
27	—	kimi-k2-thinking-turboOpenMoonshot AI	1,430	±3	63,390	—
28	—	mistral-medium-3.5OpenMistral	1,426	±6	11,803	$3.0
29	—	nvidia-nemotron-3-ultra-550b-a55b-nvfp4OpenNVIDIA	1,426	±7	11,571	—
30	▲ 1	deepseek-v3.2-exp-thinkingOpenDeepSeek · 1 more variant	1,425	±7	9,008	—
31	▲ 1	deepseek-v3.2OpenDeepSeek · 1 more variant	1,425	±3	48,114	—
32	▼ 2	muse-glimmerOpenMeta	1,425	±10	3,892	$0.52
33	—	glm-4.6OpenZ.ai	1,424	±4	35,828	—
34	—	qwen3-235b-a22b-instruct-2507OpenAlibaba	1,422	±3	98,167	—
35	—	deepseek-r1-0528OpenDeepSeek · 1 more variant	1,421	±6	18,171	—
36	—	kimi-k2-0905-previewOpenMoonshot AI · 1 more variant	1,418	±7	11,592	—
37	▲ 1	deepseek-v3.1OpenDeepSeek · 1 more variant	1,417	±6	14,610	—
38	▲ 1	qwen3.5-122b-a10bOpenAlibaba	1,416	±4	29,734	—
39	▼ 2	deepseek-v3.1-terminus-thinkingOpenDeepSeek · 1 more variant	1,416	±10	3,377	—
40	—	minimax-m2.7OpenMiniMax	1,415	±3	82,436	—
41	—	mistral-large-3OpenMistral	1,414	±3	81,759	—
42	—	qwen3-vl-235b-a22b-instructOpenAlibaba	1,413	±7	11,325	—
43	—	glm-4.5OpenZ.ai	1,411	±5	23,803	—
44	—	hunyuan-hy3-previewOpenTencent	1,409	±7	6,893	—
45	—	qwen3.5-27bOpenAlibaba	1,409	±4	28,677	—
46	—	Inkling SmallOpenThinking Machines	1,405	±5	29,528	$0.52
47	—	qwen3-235b-a22b-no-thinkingOpenAlibaba	1,402	±5	37,497	—
48	—	longcat-flash-chatOpenMeituan	1,401	±6	11,174	—
49	—	qwen3-235b-a22b-thinking-2507OpenAlibaba	1,400	±7	8,822	—
50	—	qwen3-next-80b-a3b-instructOpenAlibaba	1,399	±5	22,763	—
51	—	deepseek-v3-0324OpenDeepSeek · 1 more variant	1,395	±4	44,989	—
52	—	qwen3-vl-235b-a22b-thinkingOpenAlibaba	1,395	±7	7,868	—
53	—	qwen3.5-35b-a3bOpenAlibaba	1,394	±4	30,493	—
54	—	step-3.5-flashOpenStepFun	1,393	±4	60,381	—
55	—	mimo-v2-flash (non-thinking)OpenXiaomi · 1 more variant	1,392	±3	48,117	—
56	—	minimax-m2.5OpenMiniMax	1,391	±4	42,858	—
57	—	qwen3-coder-480b-a35b-instructOpenAlibaba	1,388	±5	25,197	—
58	—	minimax-m2.1-previewOpenMiniMax	1,385	±5	17,248	—
59	—	qwen3-30b-a3b-instruct-2507OpenAlibaba	1,382	±5	23,325	—
60	—	glm-4.6vOpenZ.ai	1,379	±11	2,839	—
61	—	trinity-large-previewOpen · 1 more variant	1,379	±4	31,298	—
62	—	qwen3-235b-a22bOpenAlibaba	1,375	±5	25,953	—
63	—	glm-4.5-airOpenZ.ai	1,373	±4	30,658	—
64	—	qwen3-next-80b-a3b-thinkingOpenAlibaba	1,369	±6	13,488	—
65	—	gemma-3-27b-itOpenGoogle	1,365	±4	46,672	—
66	—	glm-4.7-flashOpenZ.ai	1,365	±6	12,020	—
67	—	minimax-m1OpenMiniMax	1,364	±4	34,313	—
68	—	nvidia-nemotron-3-super-120b-a12bOpenNVIDIA	1,360	±7	7,875	—
69	—	mistral-small-2506OpenMistral	1,356	±5	17,466	—
70	—	intellect-3Open	1,356	±8	5,435	—
71	—	command-a-03-2025OpenCohere	1,354	±3	55,769	—
72	—	glm-4.5vOpenZ.ai	1,352	±8	4,824	—
73	—	gpt-oss-120bOpenOpenAI	1,352	±4	30,218	$0.26
74	—	nvidia-nemotron-3.5-lightning-30b-a3b-nvfp4OpenNVIDIA	1,349	±6	17,120	—
75	—	step-3OpenStepFun	1,349	±8	6,292	—
76	—	llama-3.1-nemotron-ultra-253b-v1OpenNVIDIA	1,348	±12	2,549	—
77	—	qwen3-32bOpenAlibaba	1,347	±9	3,926	—
78	—	ling-flash-2.0OpenAnt Group	1,344	±7	6,951	—
79	—	minimax-m2OpenMiniMax	1,343	±8	6,860	—
80	—	nvidia-llama-3.3-nemotron-super-49b-v1.5OpenNVIDIA	1,343	±10	3,327	—
81	—	gemma-3-12b-itOpenGoogle	1,342	±10	3,829	—
82	—	granite-4.2-30bOpenIBM	1,340	±10	3,410	—
83	—	qwq-32bOpenAlibaba · 1 more variant	1,336	±4	25,181	—
84	—	llama-3.1-405b-instruct-bf16OpenMeta	1,335	±4	41,375	—
85	—	llama-3.1-405b-instruct-fp8OpenMeta	1,334	±4	59,656	—
86	—	olmo-3.1-32b-instructOpenAi2	1,329	±6	11,820	—
87	—	llama-3.3-nemotron-49b-super-v1OpenNVIDIA	1,328	±12	2,218	—
88	—	llama-4-maverick-17b-128e-instructOpenMeta	1,327	±4	39,453	—
89	—	qwen3-30b-a3bOpenAlibaba	1,327	±5	26,160	—
90	—	deepseek-v2.5-1210OpenDeepSeek · 1 more variant	1,323	±8	6,795	—
91	—	ring-flash-2.0OpenAnt Group	1,323	±7	6,993	—
92	—	molmo-2-8bOpenAi2	1,322	±21	823	—
93	—	llama-4-scout-17b-16e-instructOpenMeta	1,322	±5	29,836	—
94	—	qwen-max-0919OpenAlibaba	1,318	±6	16,478	—
95	—	llama-3.3-70b-instructOpenMeta	1,318	±4	54,504	—
96	▲ 1	gemma-3n-e4b-itOpenGoogle	1,318	±5	22,145	—
97	▼ 1	gpt-oss-20bOpenOpenAI	1,317	±6	10,418	—
98	—	mistral-large-2407OpenMistral · 1 more variant	1,314	±4	45,459	—
99	—	athene-v2-chatOpen	1,314	±5	24,739	—
100	—	nvidia-nemotron-3-nano-30b-a3b-bf16OpenNVIDIA	1,314	±5	15,779	—
101	—	athene-70b-0725Open	1,307	±6	19,621	—
102	—	olmo-3-32b-thinkOpenAi2	1,306	±8	5,830	—
103	—	granite-4.1-8bOpenIBM	1,304	±10	4,184	—
104	—	gemma-3-4b-itOpenGoogle	1,303	±9	4,171	—
105	▲ 1	qwen2.5-72b-instructOpenAlibaba	1,303	±4	39,406	—
106	▼ 1	mistral-small-3.1-24b-instruct-2503OpenMistral	1,303	±5	32,744	—
107	—	llama-3.1-nemotron-70b-instructOpenNVIDIA	1,299	±8	7,140	—
108	—	llama-3.1-70b-instructOpenMeta	1,293	±4	55,240	—
109	▲ 3	granite-4.2-8bOpenIBM	1,290	±11	3,253	$0.11
110	▼ 1	granite-4.2-3bOpenIBM	1,290	±12	3,251	—
111	▼ 1	gemma-2-27b-itOpenGoogle	1,289	±3	75,754	—
112	▼ 1	jamba-1.5-largeOpen	1,289	±7	8,662	—
113	—	ibm-granite-h-smallOpenIBM	1,287	±8	5,635	—
114	▲ 1	olmo-3.1-32b-thinkOpenAi2	1,287	±7	8,301	—
115	▼ 1	llama-3.1-nemotron-51b-instructOpenNVIDIA	1,287	±10	3,749	—
116	—	llama-3.1-tulu-3-70bOpenAi2	1,286	±10	2,846	—
117	—	gemma-2-9b-it-simpoOpen	1,280	±7	10,072	—
118	—	nemotron-4-340b-instructOpenNVIDIA	1,277	±5	19,659	—
119	—	llama-3-70b-instructOpenMeta	1,277	±4	156,876	—
120	—	command-r-plus-08-2024OpenCohere	1,276	±7	9,866	—
121	—	mistral-small-24b-instruct-2501OpenMistral	1,274	±6	14,681	—
122	—	qwen2.5-coder-32b-instructOpenAlibaba	1,271	±8	5,432	—
123	—	c4ai-aya-expanse-32bOpenCohere	1,267	±5	27,124	—
124	—	gemma-2-9b-itOpenGoogle	1,267	±4	54,611	—
125	—	deepseek-coder-v2OpenDeepSeek	1,265	±6	15,147	—
126	—	qwen2-72b-instructOpenAlibaba	1,262	±5	37,325	—
127	—	command-r-plusOpenCohere	1,262	±4	77,554	—
128	—	phi-4OpenMicrosoft	1,256	±5	24,126	—
129	—	olmo-2-0325-32b-instructOpenAi2	1,252	±11	3,334	—
130	—	command-r-08-2024OpenCohere	1,250	±7	10,140	—
131	—	jamba-1.5-miniOpen	1,240	±7	8,858	—
132	—	ministral-8b-2410OpenMistral	1,238	±9	4,781	—
133	—	qwen1.5-110b-chatOpenAlibaba	1,234	±6	26,195	—
134	—	qwen1.5-72b-chatOpenAlibaba	1,234	±5	39,302	—
135	—	mixtral-8x22b-instruct-v0.1OpenMistral	1,230	±5	51,416	—
136	—	command-rOpenCohere	1,227	±5	54,036	—
137	—	llama-3-8b-instructOpenMeta	1,224	±4	104,642	—
138	—	c4ai-aya-expanse-8bOpenCohere	1,223	±7	9,818	—
139	—	llama-3.1-tulu-3-8bOpenAi2	1,221	±11	2,896	—
140	—	zephyr-orpo-141b-A35b-v0.1Open	1,213	±11	4,652	—
141	—	yi-1.5-34b-chatOpen	1,213	±5	24,146	—
142	—	llama-3.1-8b-instructOpenMeta	1,211	±4	49,605	—
143	—	granite-3.1-8b-instructOpenIBM	1,209	±11	3,090	—
144	—	qwen1.5-32b-chatOpenAlibaba	1,204	±6	21,741	—
145	—	gemma-2-2b-itOpenGoogle	1,200	±4	46,616	—
146	—	phi-3-medium-4k-instructOpenMicrosoft	1,198	±5	25,055	—
147	—	mixtral-8x7b-instruct-v0.1OpenMistral	1,197	±4	73,503	—
148	—	dbrx-instruct-previewOpen	1,195	±6	32,191	—
149	—	qwen1.5-14b-chatOpenAlibaba	1,191	±7	17,839	—
150	—	internlm2_5-20b-chatOpen	1,191	±7	9,901	—
151	—	deepseek-llm-67b-chatOpenDeepSeek	1,185	±11	4,932	—
152	—	wizardlm-70bOpenMicrosoft	1,185	±9	8,214	—
153	—	yi-34b-chatOpen	1,184	±7	15,483	—
154	—	granite-3.0-8b-instructOpenIBM	1,183	±9	6,638	—
155	—	openchat-3.5Open · 1 more variant	1,183	±10	7,968	—
156	—	gemma-1.1-7b-itOpenGoogle	1,183	±6	23,893	—
157	—	snowflake-arctic-instructOpen	1,180	±6	32,832	—
158	—	granite-3.1-2b-instructOpenIBM	1,179	±11	3,188	—
159	—	tulu-2-dpo-70bOpen	1,178	±10	6,535	—
160	—	openhermes-2.5-mistral-7bOpen	1,176	±10	5,006	—
161	—	vicuna-33bOpen	1,173	±6	22,479	—
162	—	phi-3-small-8k-instructOpenMicrosoft	1,171	±6	17,766	—
163	—	starling-lm-7b-betaOpen	1,171	±7	16,056	—
164	—	llama-2-70b-chatOpenMeta	1,171	±5	38,492	—
165	—	starling-lm-7b-alphaOpen	1,167	±8	10,224	—
166	—	llama-3.2-3b-instructOpenMeta	1,167	±8	7,936	—
167	—	nous-hermes-2-mixtral-8x7b-dpoOpen	1,164	±12	3,777	—
168	—	granite-3.0-2b-instructOpenIBM	1,157	±8	6,837	—
169	—	llama2-70b-steerlm-chatOpenNVIDIA	1,155	±13	3,585	—
170	—	solar-10.7b-instruct-v1.0Open	1,152	±13	4,155	—
171	—	dolphin-2.2.1-mistral-7bOpen	1,152	±15	1,679	—
172	—	mpt-30b-chatOpen	1,151	±12	2,572	—
173	—	wizardlm-13bOpenMicrosoft	1,150	±9	7,044	—
174	—	mistral-7b-instruct-v0.2OpenMistral	1,149	±7	19,402	—
175	—	falcon-180b-chatOpen	1,148	±17	1,295	—
176	—	qwen1.5-7b-chatOpenAlibaba	1,144	±10	4,737	—
177	—	phi-3-mini-4k-instruct-june-2024OpenMicrosoft	1,143	±6	12,297	—
178	—	vicuna-13bOpen	1,142	±7	19,367	—
179	—	llama-2-13b-chatOpenMeta	1,141	±7	19,174	—
180	—	qwen-14b-chatOpenAlibaba	1,139	±11	4,964	—
181	—	gemma-7b-itOpenGoogle	1,138	±9	8,925	—
182	—	codellama-34b-instructOpenMeta	1,137	±9	7,366	—
183	—	zephyr-7b-betaOpen	1,131	±9	11,118	—
184	—	phi-3-mini-128k-instructOpenMicrosoft	1,130	±7	20,685	—
185	—	phi-3-mini-4k-instructOpenMicrosoft	1,128	±6	20,118	—
186	—	guanaco-33bOpen	1,127	±12	2,921	—
187	—	zephyr-7b-alphaOpen	1,127	±16	1,785	—
188	—	stripedhyena-nous-7bOpen	1,122	±11	5,182	—
189	—	codellama-70b-instructOpenMeta	1,119	±18	1,143	—
190	—	gemma-1.1-2b-itOpenGoogle	1,117	±8	10,854	—
191	—	vicuna-7bOpen	1,115	±9	6,923	—
192	—	smollm2-1.7b-instructOpen	1,115	±14	2,199	—
193	—	llama-3.2-1b-instructOpenMeta	1,111	±8	8,045	—
194	—	mistral-7b-instructOpenMistral	1,110	±9	8,977	—
195	—	llama-2-7b-chatOpenMeta	1,108	±7	14,148	—
196	—	gemma-2b-itOpenGoogle	1,094	±11	4,780	—
197	—	qwen1.5-4b-chatOpenAlibaba	1,091	±9	7,597	—
198	—	olmo-7b-instructOpenAi2	1,074	±11	6,328	—
199	—	koala-13bOpen	1,071	±10	6,965	—
200	—	alpaca-13bOpen	1,070	±11	5,745	—
201	—	gpt4all-13b-snoozyOpen	1,068	±15	1,743	—
202	—	mpt-7b-chatOpen	1,063	±12	3,924	—
203	—	chatglm3-6bOpen	1,057	±12	4,658	—
204	—	RWKV-4-Raven-14BOpen	1,042	±11	4,845	—
205	—	chatglm2-6bOpen	1,025	±14	2,658	—
206	—	oasst-pythia-12bOpen	1,023	±11	6,310	—
207	—	chatglm-6bOpen	996	±12	4,914	—
208	—	fastchat-t5-3bOpen	993	±12	4,203	—
209	—	dolly-v2-12bOpen	982	±13	3,412	—
210	—	llama-13bOpenMeta	975	±16	2,391	—
211	—	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