Best AI Models for Reasoning

Q: Which AI model has the best reasoning?

Reasoning rankings shift as new models launch. The live leaderboard above shows current standings based on GPQA Diamond, ARC-AGI, and other reasoning benchmarks.

Q: What is GPQA Diamond?

GPQA Diamond is a graduate-level question answering benchmark designed to test deep reasoning. Questions are written by domain experts and verified to be answerable only with genuine understanding.

Q: How does ARC-AGI measure reasoning?

ARC-AGI tests abstract reasoning through visual pattern puzzles that require novel inference, not memorization. It is considered one of the hardest AI benchmarks.

AI models ranked by reasoning benchmarks. Compare GPQA Diamond, ARC-AGI, BBH, and other reasoning tests across all providers.

170

Models

Providers

Open Source

$0.70

Median $/1M in

Top 3

Claude Mythos Preview

🇺🇸 Anthropic

1.0MN/A/M in

81.814 benchmarks

Full Rankings

#	Model	Avg	ARC-AGI	ARC-AGI-2	BBH	GPQA diamond	HLE	SimpleBench	$/1M in	Context
1	GPT-5.5 Pro🇺🇸 OpenAI	87.8	-	-	-	94.2	-	-	$30.00	400K
2	GPT-5.5🇺🇸 OpenAI	85.0	95.0	-	-	93.6	-	-	$5.00	400K
3	Claude Mythos Preview🇺🇸 Anthropic	81.8	-	-	-	94.5	56.8	-	N/A	1.0M
4	DeepSeek-V2 (MoE-236B, May 2024)🇨🇳 DeepSeekOpen	76.5	-	-	71.7	-	-	-	N/A	0K
5	Claude Fable 5🇺🇸 Anthropic	74.4	-	-	-	-	-	78.3	$10.00	1.0M
6	U PaLM 2-L Unknown	73.4	-	-	-	-	-	-	N/A	0K
7	Qwen3.7 Max🇨🇳 Alibaba QwenOpen	68.1	-	-	-	88.8	-	64.5	$1.25	1.0M
8	phi-3-small 7.4B🇺🇸 MicrosoftOpen	67.4	-	-	72.1	-	-	-	N/A	0K
9	Grok 4.20🇺🇸 xAI	66.1	89.5	65.1	-	-	-	-	$1.25	2.0M
10	GPT-5.4 Pro🇺🇸 OpenAI	63.2	94.5	83.3	-	92.8	41.5	68.9	$30.00	1.1M
11	Kimi K2.7 Code🇨🇳 moonshotaiOpen	63.1	-	-	-	86.0	-	-	$0.61	262K
12	U PaLM 2-M Unknown	63.0	-	-	-	-	-	-	N/A	0K
13	Gemini 3.5 Flash🇺🇸 Google DeepMind	62.6	92.5	72.1	-	90.4	-	72.0	$1.50	1.0M
14	Claude Opus 4.8🇺🇸 Anthropic	61.4	92.5	72.1	-	88.0	-	57.8	$5.00	1.0M
15	o3 Pro🇺🇸 OpenAI	61.2	59.3	4.9	-	-	-	-	$20.00	200K
16	phi-3-mini 3.8B🇺🇸 MicrosoftOpen	61.0	-	-	62.3	-	-	-	N/A	0K
17	Qwen-14B🇨🇳 Alibaba QwenOpen	60.7	-	-	40.0	-	-	-	N/A	0K
18	Gemini 3 Pro🇺🇸 Google DeepMind	60.4	75.0	31.1	-	90.2	34.4	71.7	N/A	0K
19	Qwen3.6 Plus🇨🇳 Alibaba QwenOpen	59.9	-	-	-	83.2	-	-	$0.33	1.0M
20	GLM 5.1🇨🇳 z-aiOpen	59.8	-	-	-	80.6	-	50.4	$0.97	203K
21	DeepSeek V3🇨🇳 DeepSeekOpen	59.0	-	-	83.3	42.0	-	2.7	$0.20	131K
22	U internlm-20b Unknown	59.0	-	-	36.7	-	-	-	N/A	0K
23	GPT-5.4🇺🇸 OpenAI	58.9	93.7	74.0	-	91.1	33.0	-	$2.50	1.1M
24	U PaLM 2-S Unknown	58.9	-	-	-	-	-	-	N/A	0K
25	phi-3-medium 14B🇺🇸 MicrosoftOpen	58.6	-	-	75.2	3.5	-	-	N/A	0K
26	Qwen3 Max🇨🇳 Alibaba QwenOpen	58.3	-	-	-	63.5	-	-	$0.78	262K
27	Claude Opus 4.7🇺🇸 Anthropic	58.2	93.5	75.8	-	86.9	33.0	55.5	$5.00	1.0M
28	Falcon 2 11B TIIOpen	58.0	-	-	-	-	-	-	N/A	0K
29	R1 0528🇨🇳 DeepSeekOpen	57.9	21.2	1.1	-	68.4	-	29.0	$0.50	164K
30	Mixtral 8x7B🇫🇷 Mistral AIOpen	57.8	-	-	-	7.5	-	-	N/A	0K
31	Mixtral 8x7B Instruct🇫🇷 Mistral AIOpen	57.8	-	-	-	7.5	-	-	$0.54	33K
32	Claude Opus 4.6🇺🇸 Anthropic	57.1	94.0	69.2	-	87.4	31.1	61.1	$5.00	1.0M
33	Gemini 3.1 Pro Preview🇺🇸 Google DeepMind	56.6	98.0	77.1	-	92.1	43.7	75.5	$2.00	1.0M
34	Qwen3 235B A22B🇨🇳 Alibaba QwenOpen	56.4	-	-	-	60.9	-	17.2	$0.46	131K
35	GPT-5.2 Pro🇺🇸 OpenAI	56.2	90.5	54.2	-	-	-	48.9	$21.00	400K
36	Kimi K2 0711🇨🇳 moonshotaiOpen	56.2	-	-	-	-	-	11.6	$0.57	131K
37	GLM 5🇨🇳 z-aiOpen	56.1	44.7	4.9	-	83.8	-	43.8	$0.60	203K
38	Qwen3 235B A22B Thinking 2507🇨🇳 Alibaba QwenOpen	55.9	-	-	-	73.4	-	-	$0.15	262K
39	U Muse Spark Unknown	55.5	-	-	-	86.4	37.6	-	N/A	0K
40	MiniMax M2.5🇨🇳 minimaxOpen	55.1	63.7	4.9	-	-	-	-	$0.15	205K
41	GPT-4 (older v0314)🇺🇸 OpenAI	55.0	-	-	-	14.3	-	-	$30.00	8K
42	Grok 4🇺🇸 xAI	54.8	66.7	16.0	-	82.7	-	52.6	N/A	0K
43	GPT-5 Mini🇺🇸 OpenAI	54.3	54.3	4.4	-	66.7	15.4	-	$0.25	400K
44	o3🇺🇸 OpenAI	53.9	60.8	6.5	-	75.8	16.3	43.7	$2.00	200K
45	Gemini 2.0 Pro🇺🇸 Google DeepMind	53.7	-	-	-	54.2	-	-	N/A	0K
46	GPT-5.2🇺🇸 OpenAI	53.6	86.2	52.9	-	88.5	24.2	35.0	$1.75	400K
47	U Nemotron-4 15B Unknown	53.4	-	-	44.9	-	-	-	N/A	0K
48	Grok-3 mini🇺🇸 xAI	53.3	16.5	0.4	-	68.3	-	-	N/A	0K
49	Kimi K2 Thinking🇨🇳 moonshotaiOpen	53.3	-	-	-	79.0	-	-	$0.60	262K
50	GPT-5🇺🇸 OpenAI	53.2	65.7	9.9	-	81.6	21.6	48.0	$1.25	400K
51	Qwen2.5 Coder 32B Instruct🇨🇳 Alibaba QwenOpen	53.1	-	-	-	-	-	-	$0.66	128K
52	Gemini 2.5 Pro🇺🇸 Google DeepMind	52.7	41.0	4.9	-	80.4	17.7	54.9	$1.25	1.0M
53	Qwen2.5-Coder-3B🇨🇳 Alibaba QwenOpen	52.2	-	-	-	-	-	-	N/A	0K
54	Kimi K2.5🇨🇳 moonshotaiOpen	52.0	65.3	11.8	-	83.5	20.6	36.2	$0.38	262K
55	Kimi K2.6🇨🇳 moonshotaiOpen	51.7	-	-	-	87.7	-	-	$0.66	262K
56	Qwen2.5 72B Instruct🇨🇳 Alibaba QwenOpen	51.6	-	-	73.1	32.2	-	-	$0.36	131K
57	DeepSeek V3.2🇨🇳 DeepSeekOpen	51.2	57.0	4.0	-	77.9	-	-	$0.21	131K
58	Qwen3.6 Max Preview🇨🇳 Alibaba QwenOpen	51.2	-	-	-	85.4	-	55.6	$1.04	262K
59	DeepSeek V3.1🇨🇳 DeepSeekOpen	51.1	-	-	-	-	-	28.0	$0.21	164K
60	GPT-4o (2024-05-13)🇺🇸 OpenAI	51.1	-	-	-	31.9	-	-	$5.00	128K
61	GPT-4 Turbo🇺🇸 OpenAI	51.0	-	-	66.8	7.5	-	10.1	$10.00	128K
62	o4 Mini🇺🇸 OpenAI	50.9	58.7	6.1	-	72.8	13.9	26.4	$1.10	200K
63	DeepSeek-Coder-V2-Lite-Base🇨🇳 DeepSeekOpen	50.8	-	-	-	-	-	-	N/A	0K
64	GLM 4.7🇨🇳 z-aiOpen	50.5	-	-	-	77.8	-	37.2	$0.40	203K
65	Grok 4 Fast🇺🇸 xAI	50.4	48.5	5.3	-	-	-	-	N/A	0K
66	Qwen2.5 Coder 14B Instruct🇨🇳 AlibabaOpen	50.0	-	-	-	-	-	-	N/A	0K
67	Qwen3.6 Flash🇨🇳 Alibaba QwenOpen	49.8	-	-	-	79.2	-	-	$0.19	1.0M
68	GPT-5.1🇺🇸 OpenAI	49.6	72.8	17.6	-	83.5	19.8	43.8	$1.25	400K
69	o1🇺🇸 OpenAI	49.6	30.7	-	-	69.0	3.3	28.1	$15.00	200K
70	Qwen3 235B A22B Instruct 2507🇨🇳 Alibaba QwenOpen	48.5	11.0	1.3	-	-	-	-	$0.09	262K
71	Claude Sonnet 4.6🇺🇸 Anthropic	48.0	86.5	60.4	-	83.2	-	-	$3.00	1.0M
72	Gemini 2.0 Flash🇺🇸 Google DeepMind	48.0	-	1.3	-	52.2	-	17.3	$0.10	1.0M
73	Gemini 2.0 Flash (Dec 2024)🇺🇸 Google DeepMind	48.0	-	1.3	-	52.2	-	17.3	N/A	0K
74	U Stable Beluga 2 Unknown	47.8	-	-	59.1	-	-	-	N/A	0K
75	Claude 3.7 Sonnet🇺🇸 Anthropic	47.7	28.6	0.9	-	73.0	3.4	35.7	N/A	0K
76	Gemini 3 Flash Preview🇺🇸 Google DeepMind	47.7	21.5	33.6	-	77.6	-	53.3	$0.50	1.0M
77	Gemini 1.5 Flash (May 2024)🇺🇸 Google DeepMind	47.3	-	-	-	20.5	-	-	N/A	0K
78	gpt-oss-120b🇺🇸 OpenAIOpen	46.9	-	-	-	67.7	-	6.5	$0.04	131K
79	GPT-3.5 Turbo (older v0613)🇺🇸 OpenAI	45.8	-	-	48.8	2.9	-	-	$1.00	4K
80	Mistral Large 2411🇫🇷 Mistral AIOpen	45.8	-	-	-	35.1	-	-	$2.00	131K
81	Grok 3🇺🇸 xAI	45.5	5.5	0.0	-	67.7	-	23.3	N/A	0K
82	R1🇨🇳 DeepSeekOpen	45.1	15.8	1.3	-	62.3	-	17.1	$0.70	164K
83	GPT-4.1 Mini🇺🇸 OpenAI	44.5	3.5	0.0	-	54.5	-	-	$0.40	1.0M
84	Falcon-180B TIIOpen	44.4	-	-	16.1	-	-	-	N/A	0K
85	Qwen2.5 Coder 7B Instruct🇨🇳 AlibabaOpen	44.4	-	-	-	-	-	-	N/A	0K
86	Qwen2.5 Coder 7B Instruct🇨🇳 Alibaba QwenOpen	44.4	-	-	-	-	-	-	$0.03	33K
87	Claude Opus 4.5🇺🇸 Anthropic	43.6	80.0	37.6	-	81.4	21.4	54.4	$5.00	200K
88	Claude Sonnet 4🇺🇸 Anthropic	43.3	40.0	5.9	-	72.3	3.1	34.6	$3.00	1.0M
89	GPT-4.1🇺🇸 OpenAI	43.3	5.5	0.4	-	55.9	0.6	12.4	$2.00	1.0M
90	GPT-5 Nano🇺🇸 OpenAI	43.3	20.7	2.6	-	59.3	-	-	$0.05	400K
91	GPT-4o-mini (2024-07-18)🇺🇸 OpenAI	43.2	-	0.1	-	17.0	-	-	$0.15	128K
92	Phi 4🇺🇸 MicrosoftOpen	43.2	-	-	-	41.4	-	-	$0.07	16K
93	Llama 2-13B🇺🇸 MetaOpen	42.5	-	-	44.3	1.8	-	-	N/A	0K
94	Claude 3.5 Sonnet🇺🇸 Anthropic	42.3	-	-	-	38.7	-	13.0	N/A	0K
95	Gemma 3 27B🇺🇸 Google DeepMindOpen	42.2	-	-	-	31.8	-	-	$0.08	131K
96	Gemma 3 27B (free)🇺🇸 Google DeepMindOpen	42.2	-	-	-	31.8	-	-	Free	131K
97	GPT-5 Pro🇺🇸 OpenAI	42.2	70.2	18.3	-	-	28.2	53.9	$15.00	400K
98	Claude Opus 4🇺🇸 Anthropic	41.7	35.7	8.6	-	68.3	6.2	50.6	$15.00	200K
99	Mistral 7B V0.1🇫🇷 Mistral AIOpen	41.6	-	-	41.5	-	-	-	N/A	0K
100	Gemini 1.5 Pro (May 2024)🇺🇸 Google DeepMind	41.5	-	0.8	85.6	27.8	-	12.5	N/A	0K
101	o1-preview🇺🇸 OpenAI	41.5	18.0	-	-	33.8	-	30.0	N/A	0K
102	Gemini 1.5 Pro (Feb 2024)🇺🇸 Google DeepMind	41.3	-	0.8	78.7	27.8	-	12.5	N/A	0K
103	Qwen2.5-Max🇨🇳 Alibaba QwenOpen	41.0	-	-	-	41.5	-	-	N/A	0K
104	U Baichuan 2-7B Unknown	40.3	-	-	22.1	-	-	-	N/A	0K
105	Gemma 2 27B🇺🇸 Google DeepMindOpen	40.1	-	-	-	15.3	-	-	$0.65	8K
106	Mistral Medium 3🇫🇷 Mistral AIOpen	40.0	-	-	-	46.0	-	-	$0.40	131K
107	Claude Sonnet 4.5🇺🇸 Anthropic	39.6	63.7	13.6	-	76.4	9.4	45.2	$3.00	1.0M
108	GPT-4o-mini🇺🇸 OpenAI	39.6	-	0.0	-	17.0	-	-	$0.15	128K
109	Mistral Large 2407🇫🇷 Mistral AIOpen	39.1	-	-	-	32.0	-	7.0	$2.00	131K
110	Qwen2-72B🇨🇳 Alibaba QwenOpen	39.0	-	-	-	21.0	-	-	N/A	0K
111	Qwen2.5 Coder 1.5B Instruct🇨🇳 AlibabaOpen	38.8	-	-	-	-	-	-	N/A	0K
112	Gemini 2.5 Flash🇺🇸 Google DeepMind	38.5	32.3	2.5	-	-	7.7	29.4	$0.30	1.0M
113	GPT-5.4 Mini🇺🇸 OpenAI	38.3	63.7	18.9	-	78.1	-	-	$0.75	400K
114	Llama 3.1 405B🇺🇸 MetaOpen	38.0	-	-	77.2	34.5	-	7.6	N/A	0K
115	Llama 3.1 70B Instruct🇺🇸 MetaOpen	37.8	-	-	-	25.6	-	-	$0.40	131K
116	Gemini 2.0 Flash Thinking (Jan 2025)🇺🇸 Google DeepMind	37.7	-	-	-	42.8	1.9	16.8	N/A	0K
117	Claude 2🇺🇸 Anthropic	37.2	-	-	-	12.9	-	-	N/A	0K
118	Claude 3.5 Haiku🇺🇸 Anthropic	37.2	-	-	-	17.5	-	-	N/A	0K
119	Mistral Nemo🇫🇷 Mistral AIOpen	37.2	-	-	-	6.5	-	-	$0.02	131K
120	Claude Opus 4.1🇺🇸 Anthropic	37.0	-	-	-	69.7	7.1	52.0	$15.00	200K
121	GPT-4o (2024-11-20)🇺🇸 OpenAI	36.4	4.5	0.0	-	32.3	-	1.4	$2.50	128K
122	Llama 3.2 90B🇺🇸 MetaOpen	36.1	-	-	-	21.4	-	-	N/A	0K
123	Gemma 2 9B🇺🇸 Google DeepMindOpen	36.0	-	-	-	3.3	-	-	$0.03	8K
124	GPT-4.5🇺🇸 OpenAI	35.9	10.3	0.8	-	58.3	0.7	21.4	N/A	0K
125	GPT-4o (2024-08-06)🇺🇸 OpenAI	35.6	-	-	-	32.3	-	1.4	$2.50	128K
126	GPT-4.1 Nano🇺🇸 OpenAI	35.2	0.0	0.0	-	31.9	-	-	$0.10	1.0M
127	o3 Mini🇺🇸 OpenAI	35.2	34.5	3.0	-	69.4	-	7.4	$1.10	200K
128	Qwen3.5-Flash🇨🇳 Alibaba QwenOpen	35.0	-	-	-	78.5	-	-	$0.07	1.0M
129	LLaMA-13B🇺🇸 MetaOpen	34.9	-	-	17.2	-	-	-	N/A	0K
130	o1-mini🇺🇸 OpenAI	34.9	14.0	0.8	-	49.8	-	1.7	N/A	0K
131	Qwen 3.5 Plus (hosted 397B-A17B)🇨🇳 Alibaba QwenOpen	34.8	-	-	-	78.9	-	-	N/A	0K
132	Claude Haiku 4.5🇺🇸 Anthropic	34.3	47.7	4.0	-	61.6	-	-	$1.00	200K
133	U XGen-7B Unknown	33.9	-	-	-	-	-	-	N/A	0K
134	Claude 3 Opus🇺🇸 Anthropic	33.7	-	-	-	29.6	-	8.2	N/A	0K
135	GPT-5.4 Nano🇺🇸 OpenAI	33.6	51.5	5.7	-	71.3	-	-	$0.20	400K
136	Grok-2 (Dec 2024)🇺🇸 xAI	33.2	-	-	-	38.4	-	7.2	N/A	0K
137	U vicuna-13b-v1.1 Unknown	32.5	-	-	24.1	-	-	-	N/A	0K
138	Llama 3 70B Instruct🇺🇸 MetaOpen	32.4	-	-	-	20.8	-	-	$0.51	8K
139	open_llama_7b🇺🇸 MetaOpen	32.0	-	-	-	-	-	-	N/A	0K
140	U MPT-30B Unknown	31.7	-	-	17.3	-	-	-	N/A	0K
141	U Yi 6B UnknownOpen	31.4	-	-	29.6	-	-	-	N/A	0K
142	Llama 3 8B Instruct🇺🇸 MetaOpen	30.8	-	-	-	1.4	-	-	$0.14	8K
143	Phi 2🇺🇸 MicrosoftOpen	30.2	-	-	45.9	-	-	-	N/A	0K
144	Mistral Large🇫🇷 Mistral AIOpen	30.0	-	-	-	18.4	-	7.0	$2.00	128K
145	U Dolly 2.0-12b Unknown	29.2	-	-	-	-	-	-	N/A	0K
146	Gemma 2B🇺🇸 Google DeepMindOpen	29.1	-	-	13.6	-	-	-	N/A	0K
147	Llama 3.3 70B Instruct (free)🇺🇸 MetaOpen	29.1	-	-	-	29.9	-	3.9	Free	131K
148	Claude 3 Haiku🇺🇸 Anthropic	28.7	-	-	-	15.1	-	-	$0.25	200K
149	Qwen-1_8B🇨🇳 Alibaba QwenOpen	28.7	-	-	4.3	-	-	-	N/A	0K
150	Claude 3 Sonnet🇺🇸 Anthropic	28.3	-	-	-	20.8	-	-	N/A	0K
151	Llama 4 Maverick🇺🇸 MetaOpen	28.0	4.4	0.0	-	56.0	0.9	13.2	$0.15	1.0M
152	Llama 3.1 8B Instruct🇺🇸 MetaOpen	27.4	-	-	-	1.3	-	-	$0.02	131K
153	DeepSeek Coder 33B🇨🇳 DeepSeekOpen	25.4	-	-	-	-	-	-	N/A	0K
154	Llama 3-70B🇺🇸 MetaOpen	24.7	-	-	-	20.8	-	-	N/A	0K
155	U StarCoder 2 15B UnknownOpen	24.3	-	-	-	-	-	-	N/A	0K
156	U Baichuan1-7B Unknown	23.7	-	-	10.0	-	-	-	N/A	0K
157	Mixtral 8x22B Instruct🇫🇷 Mistral AIOpen	23.5	-	-	-	12.1	-	-	$2.00	66K
158	Cerebras-GPT-13B🇺🇸 OpenAI	23.4	-	-	-	-	-	-	N/A	0K
159	CodeQwen1.5-7B🇨🇳 Alibaba QwenOpen	23.1	-	-	-	-	-	-	N/A	0K
160	Gemini 1.0 Pro🇺🇸 Google DeepMind	21.1	-	-	-	11.9	-	-	N/A	0K
161	Claude 2.1🇺🇸 Anthropic	21.0	-	-	-	10.6	-	-	N/A	0K
162	Qwen2.5 Coder 0.5B Instruct🇨🇳 AlibabaOpen	20.8	-	-	-	-	-	-	N/A	0K
163	U INTELLECT-1 Unknown	20.2	-	-	13.1	-	-	-	N/A	0K
164	Llama 4 Scout🇺🇸 MetaOpen	18.9	0.5	0.0	-	35.8	-	-	$0.10	10.0M
165	U RedPajama-INCITE-7B-Base Unknown	18.0	-	-	-	-	-	-	N/A	0K
166	DeepSeek Coder 6.7B🇨🇳 DeepSeekOpen	16.7	-	-	-	-	-	-	N/A	0K
167	U Magistral Small 1.1 Unknown	16.5	5.0	0.0	-	31.2	-	-	N/A	0K
168	Phi-1.5🇺🇸 MicrosoftOpen	16.3	-	-	-	-	-	-	N/A	0K
169	U stablelm-tuned-alpha-7b Unknown	13.6	-	-	-	-	-	-	N/A	0K
170	DeepSeek Coder 1.3B🇨🇳 DeepSeekOpen	3.2	-	-	-	-	-	-	N/A	0K

90+ Gold 80-89 70-79 60-69 <60Scores in % unless noted. Avg = unweighted mean across tested benchmarks.

About this category

Models ranked by reasoning performance across GPQA Diamond, ARC-AGI, BBH, and other logic and reasoning benchmarks. These tests measure abstract thinking, pattern recognition, and multi-step inference.

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Frequently asked questions

Which AI model has the best reasoning?

Reasoning rankings shift as new models launch. The live leaderboard above shows current standings based on GPQA Diamond, ARC-AGI, and other reasoning benchmarks.

What is GPQA Diamond?

GPQA Diamond is a graduate-level question answering benchmark designed to test deep reasoning. Questions are written by domain experts and verified to be answerable only with genuine understanding.

How does ARC-AGI measure reasoning?

ARC-AGI tests abstract reasoning through visual pattern puzzles that require novel inference, not memorization. It is considered one of the hardest AI benchmarks.

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